Full Course Description List:

RSCH Courses

(4 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(4 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(4 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(4 credits)

Students in this research course acquire core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

(4 credits)

Students in this research course receive core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics and interpret and present results. Students apply and synthesize their knowledge and skills by developing a quantitative research plan.

(5 credits)

Students in this research course build core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. In this course, students approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 6110

(5 credits)

Students in this research course build upon knowledge and skills acquired in the prerequisite quantitative reasoning course and are presented with opportunities to apply them. They are provided with more specialized knowledge and skills for conducting quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts, such as factorial ANOVA, mediation, moderation, logistic regression, ANCOVA, and MANOVA. Students explore existing datasets and apply suitable statistical tests to answer research questions with social change implications. In this course, they approach statistics from a problem-solving perspective with emphasis on selecting the appropriate statistical tests for more complex research questions and social problems. Students use statistical software to perform analyses and interpret and present results. They will apply and synthesize their knowledge and skills by carrying out a quantitative research project.

Pre-requisites

• RSCH 6110V or RSCH 6110Y or RSCH 6110
• RSCH 6210V or RSCH 6210Y or RSCH 6210

(4 credits)

Students in this research course are provided with core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. Students use software to code data and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(5 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for understanding, analyzing, and designing research at the doctoral level. Students explore the philosophy of science, the importance of theory in research, and research processes. The course also introduces students to the quantitative, qualitative, and mixed-method research designs and methods. Students devote special attention to understanding the ethical and social change implications of conducting research and engaging in scholarship. They apply their knowledge and skills by developing elements of simple research plans for quantitative, qualitative, and mixed-methods studies.

(5 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for understanding, analyzing, and designing research at the doctoral level. Students explore the philosophy of science, the importance of theory in research, and research processes. The course also introduces students to the quantitative, qualitative, and mixed-method research designs and methods. Students devote special attention to understanding the ethical and social change implications of conducting research and engaging in scholarship. They apply their knowledge and skills by developing elements of simple research plans for quantitative, qualitative, and mixed-methods studies.

(4 credits)

Education professionals are provided with core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts in this course. They explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. Education professionals approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. They use statistical software to calculate statistics and interpret and present results. Education professionals will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 7100D

(4 credits)

In this research course, educators build on knowledge and skills acquired in RSCH 8200: Quantitative Reasoning and Analysis and are provided with experience applying them. Educators are provided with more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. They explore comprehensive quantitative research designs and suitable statistical tests, the importance of quality assurance, and ethical considerations and social change implications of conducting quantitative research and producing knowledge. Educators approach statistics from a problem-solving perspective, with emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. They use statistical software to perform analyses and interpret and present results. Educators apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 7200D

(4 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed-methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

Pre-requisites

• A Foundation course or first course in a program
• RESI 8401

(4 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

Pre-requisites

• Foundation course or first course in a program

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

Pre-requisites

• Foundation course or first course in a program

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

Pre-requisites

• A Foundation course or first course in a program
• RESI 8401

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

Pre-requisites

• A Foundation course or first course in a program

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

Pre-requisites

• A Foundation course or first course in a program

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed-methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

Pre-requisites

• A Foundation course or first course in a program

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed-methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

For KAM or Mixed-Model Specializations

Pre-requisites

• AMDS 8008 or SBSF 8005

For Course-Based Specializations

Pre-requisites

• MGMT 8010

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed-methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

For KAM or Mixed-Model Specializations

Pre-requisites

• AMDS 8008 or SBSF 8005

For Course-Based Specializations

Pre-requisites

• MGMT 8010 or MGMT 8045

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed-methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

For KAM or Mixed-Model Specializations

Pre-requisites

• AMDS 8008 or SBSF 8005

For Course-Based Specializations

Pre-requisites

• MGMT 8010

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed-methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

Pre-requisites

(5 credits)

In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.

Pre-requisites

• A Foundation course or first course in a program

(4 credits)

Students taking this research course are provided with the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8100D
• RESI 8401

(4 credits)

Students in this research course have the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8100C

(4 credits)

Students in this research course have the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8100H
• RESI 8401 or RESI 8401A

(4 credits)

Students in this research course receive core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

(4 credits)

Students in this research course have the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8100P

(4 credits)

Students in this research course have the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8100X

(4 credits)

Students in this research course have the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8100Y

(4 credits)

Students in this research course have the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and the ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with an emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

For KAM or Mixed-Model Specializations

Pre-requisites

• SBSF 7100

For Course-Based Specializations

Pre-requisites

• MGMT 8440
• MGMT 8540
• MGMT 8640 or MGMT 8740
• MGMT 8990

(4 credits)

Students in this research course are provided with core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8100

(4 credits)

Students in this research course have the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and the ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8101M

(4 credits)

Students in this research course have the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and the ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with an emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

For KAM or Mixed-Model Specializations

Pre-requisites

• SBSF 7100

For Course-Based Specializations

Pre-requisites

• MGMT 8440
• MGMT 8540
• MGMT 8640 or MGMT 8740
• MGMT 8990

(5 credits)

In this research course, students are provided with the opportunity to develop core knowledge and skills for designing and carrying out quantitative research at the doctoral level, including the application of statistical concepts and techniques. Students explore classical common statistical tests, the importance of the logic of inference, and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to derive statistics from quantitative data and interpret and present results.

Pre-requisite

(5 credits)

Students taking this research course are provided with the opportunity to develop core knowledge and skills for designing quantitative research at the doctoral level, including understanding data analysis and applying statistical concepts. Students explore classical quantitative research designs and common statistical tests, the importance of quality assurance, and ethical and social change implications of conducting quantitative research and producing knowledge. They approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to calculate statistics data and interpret and present results. Students apply their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8100O

(4 credits)

Students in this research course build upon the knowledge and skills acquired in RSCH 8200 - Quantitative Reasoning and Analysis and experience applying them. Students gain more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests, the importance of quality assurance, and ethical considerations and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. Students use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8200U or SBSF 7100

(4 credits)

Students taking this research course build upon knowledge and skills acquired in RSCH 8200C - Quantitative Reasoning and Analysis and receive experience applying them. Students gain more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests; the importance of quality assurance; and the ethical considerations and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with an emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. Students use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8200C

(4 credits)

Students build upon the knowledge and skills acquired in RSCH 8200 - Quantitative Reasoning and Analysis and have experience applying them in this course. They develop more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests, the importance of quality assurance, and ethical considerations and social change implications of conducting quantitative research and producing knowledge. In this course, students approach statistics from a problem-solving perspective with emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. They use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8200 or EDUC 8800 or EDUC 8900

(4 credits)

Students build upon the knowledge and skills acquired in RSCH 8200 - Quantitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests; the importance of quality assurance; and ethical considerations and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. Students use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8200

(4 credits)

Students taking this research course build upon knowledge and skills acquired in RSCH 8200P - Quantitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests, the importance of quality assurance, and the ethical considerations and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with an emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. Students use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8200P

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8200X - Quantitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests; the importance of quality assurance; and the ethical considerations and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. Students use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8200X

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8200Y - Quantitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests; the importance of quality assurance; and the ethical considerations and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with an emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. Students use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8200Y

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8200Z - Quantitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests, the importance of quality assurance, and the ethical considerations and social change implications of conducting quantitative research and producing knowledge. This course approaches statistics from a problem-solving perspective with an emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. Students use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8200Z or AMDS 8437
• RSCH 8300Z or AMDS 8427
• Residency 3

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8200Z = Quantitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests, the importance of quality assurance, and the ethical considerations and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. Students use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8201M
• RSCH 8301M
• RESI 8401
• RESI 8402 or RESI 8402D or RESI 8402E

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8200Z - Quantitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests, the importance of quality assurance, and the ethical considerations and social change implications of conducting quantitative research and producing knowledge. In this course, students approach statistics from a problem-solving perspective with emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. Students use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8200Z or AMDS 8437
• RSCH 8300Z or AMDS 8427
• Residency 3
• RESI 8401
• RESI 8402 or RESI 8402D or RESI 8402E

(5 credits)

Students in this research course build upon knowledge and skills acquired in the prerequisite quantitative reasoning course and are presented with opportunities to apply them. They are provided with more specialized knowledge and skills for conducting quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts, such as factorial ANOVA, mediation, moderation, logistic regression, ANCOVA, and MANOVA. Students explore existing datasets and apply suitable statistical tests to answer research questions with social change implications. In this course, they approach statistics from a problem-solving perspective with emphasis on selecting the appropriate statistical tests for more complex research questions and social problems. Students use statistical software to perform analyses and interpret and present results. They will apply and synthesize their knowledge and skills by carrying out a quantitative research project.

Pre-requisites

(5 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8201 - Quantitative Reasoning and Analysis and are provided experience applying them. Through this course, students are provided with more specialized knowledge and skills for designing quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts. Students explore comprehensive quantitative research designs and suitable statistical tests; the importance of quality assurance; and ethical considerations and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting the appropriate research design and statistical tests for more complex research questions or problems. They use statistical software to perform analyses and interpret and present results. Students will apply and synthesize their knowledge and skills by developing a quantitative research plan.

Pre-requisites

• RSCH 8201
• RESI 8402

(4 credits)

Students in this research course are provided with the opportunity to develop basic knowledge and skills for conducting qualitative research at the doctoral level. Students explore the nature of qualitative inquiry, how theory and theoretical and conceptual frameworks uniquely apply to qualitative research, data collection procedures and analysis strategy, and how the role of the researcher is expressed in the ethical and rigorous conduct of qualitative research. Students practice collecting, organizing, analyzing, and presenting data, and they develop a detailed premise for conducting a qualitative study.

Pre-requisites

• RSCH 8100U
• RESI 8401

(4 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8100C

(4 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8100D

(4 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8100H
• RESI 8401

(5 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8100P

(4 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8100P

(4 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8100X

(4 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8100Y

(4 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

For KAM or Mixed-Model Specializations

Pre-requisites

• SBSF 7100

For Course-Based Specializations

Pre-requisites

• MGMT 8410
• MGMT 8420 or MGMT 8510
• MGMT 8520 or MGMT 8610
• MGMT 8620 or MGMT 8710
• MGMT 8720

(4 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8101M

(4 credits)

Students in this research course are provided with the opportunity to develop core knowledge and skills for designing qualitative research at the doctoral level, including understanding data analysis. Students explore the nature of qualitative inquiry; fieldwork strategies and the nature of observation; theoretical approaches to qualitative research; the importance of quality assurance; and the ethical, legal, and social change implications of conducting qualitative research and producing knowledge. They use software to code data and interpret and present results. Students apply their knowledge and skills by developing a qualitative research plan.

For KAM or Mixed-Model Specializations

Pre-requisites

• SBSF 7100

For Course-Based Specializations

Pre-requisites

• MGMT 8410
• MGMT 8420 or MGMT 8510
• MGMT 8520 or MGMT 8610
• MGMT 8620 or MGMT 8710
• MGMT 8720

(5 credits)

Students in this research course are provided with the opportunity to develop basic knowledge and skills for conducting qualitative research at the doctoral level. Students explore the nature of qualitative inquiry, how theory and theoretical and conceptual frameworks uniquely apply to qualitative research, data collection procedures and analysis strategy, and how the role of the researcher is expressed in the ethical and rigorous conduct of qualitative research. Students practice collecting, organizing, analyzing, and presenting data, and they develop a detailed research topic for conducting a qualitative study.

Pre-requisites

(5 credits)

Students in this research course are provided with the opportunity to develop basic knowledge and skills for conducting qualitative research at the doctoral level. Students explore the nature of qualitative inquiry, how theory and theoretical and conceptual frameworks uniquely apply to qualitative research, data collection procedures and analysis strategy, and how the role of the researcher is expressed in the ethical and rigorous conduct of qualitative research. Students practice collecting, organizing, analyzing, and presenting data, and they develop a detailed premise for conducting a qualitative study.

Pre-requisites

• RSCH 8100O

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8300 - Qualitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8300

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8300C - Qualitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8300C

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8300Z - Qualitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8200D or SBSF 7100

(4 credits)

Students in this research course build upon their established qualitative research proficiencies and gain practical experience in application. Students are also provided with the opportunity to develop specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. They apply their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8300P

(4 credits)

Students in this research course builds upon knowledge and skills acquired in RSCH 8300P - Qualitative Reasoning and Analysis and gain experience applying them. Students gain more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8300P

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8300X - Qualitative Reasoning and Analysis and gain experience applying them. Students gain more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8200X or SBSF 7100

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8300Y - Qualitative Reasoning and Analysis and gain experience applying them. Students gain more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8300Y

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8300Z - Qualitative Reasoning and Analysis and gain experience applying them. Students gain more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8200Z or AMDS 8437
• RSCH 8300Z or AMDS 8427
• Residency 3

(4 credits)

Students in this research course builds upon knowledge and skills acquired in RSCH 8300Z - Qualitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8201M
• RSCH 8301M
• RESI 8401
• RESI 8402 or RESI 8402D or RESI 8402E

(4 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8300Z - Qualitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8200Z or AMDS 8437
• RSCH 8300Z or AMDS 8427
• Residency 3
• RESI 8401
• RESI 8402 or RESI 8402D or RESI 8402E

(5 credits)

Students build upon the knowledge and skills acquired in RSCH 8310 - Qualitative Reasoning and Analysis. and have experience applying them. Students develop a more sophisticated understanding of the theoretical antecedents and practical applications of eight contemporary qualitative approaches. Students gain experience developing qualitative interview guides, collecting data, and managing the process from transcription through analysis. The unique challenges of confidentiality and ethical issues are explored as well as implications for social change. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan using a topic relevant to their capstone.

Pre-requisites

Note: This course was previously RSCH 8350.

(5 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8300 - Qualitative Reasoning and Analysis and gain experience applying them. Students acquire more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8300O

(5 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8350 - Qualitative Reasoning and Analysis and are provided experience applying them. Through this course students are provided with more specialized knowledge and skills within each of the common qualitative traditions for designing qualitative research at the doctoral level. Students explore more complex qualitative research designs and analyses; multiple approaches to coding and organizing data; core components of a qualitative write-up; the importance of quality assurance; and the ethical considerations and social change implications of conducting qualitative research and producing knowledge. Students will apply and synthesize their knowledge and skills by developing a qualitative research plan.

Pre-requisites

• RSCH 8360
• RESI 8402
• RESI 8802

(4 credits)

Students in this research course build upon their established qualitative and quantitative research proficiencies. They are also provided with the opportunity to develop specialized knowledge and skills for designing mixed-methods research at the doctoral level. Students gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question. They engage in assignments that emphasize the integration of quantitative and qualitative elements into true mixed-methods studies, focusing on reliability and validity in mixed-methods approaches. They also practice data analysis and integration of qualitative and quantitative data within a research write-up leading to proposal development. Students apply their knowledge and skills by developing a mixed-methods research plan that appropriately incorporates qualitative and quantitative elements.

Pre-requisites

• RSCH 8200P
• RSCH 8300P

(4 credits)

Students in this research course build upon their established qualitative and quantitative research proficiencies. Students are also provided with the opportunity to develop specialized knowledge and skills for designing mixed-methods research at the doctoral level. Students gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question. Students engage in assignments that emphasize the integration of quantitative and qualitative elements into true mixed-methods studies, focusing on reliability and validity in mixed-methods approaches.  They also practice data analysis and integration of qualitative and quantitative data within a research write-up leading to proposal development. Students apply their knowledge and skills by developing a mixed-methods research plan that appropriately incorporates qualitative and quantitative elements.

Pre-requisites

• RSCH 8200P
• RSCH 8300P

(4 credits)

Students taking this research course build upon knowledge and skills acquired in RSCH 8200P - Quantitative Reasoning and Analysis and RSCH 8300 - Qualitative Reasoning and Analysis. Students acquire more specialized knowledge and skills for designing mixed-methods research at the doctoral level. Students gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question. Students emphasize integrating quantitative and qualitative elements into true mixed-methods studies, practicing data analysis, and integrating qualitative and quantitative data within a research write-up. Reliability and validity in mixed-methods approaches will be highlighted. Students will apply and synthesize their knowledge and skills by developing a truly mixed-methods research plan that appropriately incorporates qualitative and quantitative elements.

Pre-requisites

• RSCH 8200P
• RSCH 8300P

(4 credits)

Students taking this research course build upon knowledge and skills acquired in RSCH 8200 - Quantitative Reasoning and Analysis and RSCH 8300 - Qualitative Reasoning and Analysis. Students acquire more specialized knowledge and skills for designing mixed-methods research at the doctoral level. Students gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question. Students emphasize integrating quantitative and qualitative elements into true mixed-methods studies, practicing data analysis, and integrating qualitative and quantitative data within a research write-up. Reliability and validity in mixed-methods approaches will be highlighted. Students will apply and synthesize their knowledge and skills by developing a truly mixed-methods research plan that appropriately incorporates qualitative and quantitative elements.

Pre-requisites

• RSCH 8200Z or AMDS 8437
• RSCH 8300Z or AMDS 8427
• Residency 3

(4 credits)

Students taking this research course build upon knowledge and skills acquired in RSCH 8200 - Quantitative Reasoning and Analysis and RSCH 8300 - Qualitative Reasoning and Analysis. Students acquire more specialized knowledge and skills for designing mixed-methods research at the doctoral level. Students gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question. Students emphasize integrating quantitative and qualitative elements into true mixed-methods studies, practicing data analysis, and integrating qualitative and quantitative data within a research write-up. Reliability and validity in mixed-methods approaches will be highlighted. Students will apply and synthesize their knowledge and skills by developing a true mixed-methods research plan that appropriately incorporates qualitative and quantitative elements.

Pre-requisites

• RSCH 8201M
• RSCH 8301M
• RESI 8401
• RESI 8402 or RESI 8402D or RESI 8402E

(4 credits)

Students taking this research course build upon knowledge and skills acquired in RSCH 8200 - Quantitative Reasoning and Analysis and RSCH 8300 - Qualitative Reasoning and Analysis. Students acquire more specialized knowledge and skills for designing mixed-methods research at the doctoral level. Students gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question. Students emphasize integrating quantitative and qualitative elements into true mixed-methods studies, practicing data analysis, and integrating qualitative and quantitative data within a research write-up. Reliability and validity in mixed-methods approaches will be highlighted. Students will apply and synthesize their knowledge and skills by developing a true mixed-methods research plan that appropriately incorporates qualitative and quantitative elements.

Pre-requisites

• RSCH 8200Z or AMDS 8437
• RSCH 8300Z or AMDS 8427
• Residency 3
• RESI 8401
• RESI 8402 or RESI 8402D or RESI 8402E

(5 credits)

Students build upon knowledge and skills acquired in RSCH 8210 - Quantitative Reasoning and Analysis and RSCH 8310 - Qualitative Reasoning and Analysis for more specialized knowledge and skills to design mixed-methods research at the doctoral level. Students are provided with more specialized knowledge and skills for designing mixed-methods research at the doctoral level. They gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question(s). The emphases of this course are on integrating quantitative and qualitative elements into true mixed-methods studies, practice in data analysis, and integration of qualitative and quantitative data within a research write-up. Students will apply and synthesize their knowledge and skills by developing a mixed-methods research plan that incorporates qualitative and quantitative elements appropriately.

Pre-requisites

Note: This course was previously RSCH 8450.

(5 credits)

Students in this research course build upon their established qualitative and quantitative research proficiencies. They are also provided with the opportunity to develop specialized knowledge and skills for designing mixed-methods research at the doctoral level. Students gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question. They engage in assignments that emphasize the integration of quantitative and qualitative elements into true mixed-methods studies, focusing on reliability and validity in mixed-methods approaches. They also practice data analysis and integration of qualitative and quantitative data within a research write-up leading to proposal development. Students apply their knowledge and skills by developing a mixed-methods research plan that appropriately incorporates qualitative and quantitative elements.

Pre-requisites

• RSCH 8200O
• RSCH 8300O

(5 credits)

Students in this research course build upon knowledge and skills acquired in RSCH 8260 - Quantitative Reasoning and Analysis and RSCH 8360 - Qualitative Reasoning and Analysis. Through this course, students are provided with more specialized knowledge and skills for designing mixed-methods research at the doctoral level. Students gain an understanding of the types of mixed-methods designs and how to select the most appropriate approach for the research question. In this course, students emphasize integrating quantitative and qualitative elements into true mixed-methods studies; practice in data analysis; and integration of qualitative and quantitative data within a research write-up. Reliability and validity in mixed-methods approaches will be highlighted. Students will apply and synthesize their knowledge and skills by developing a truly mixed-methods research plan that appropriately incorporates qualitative and quantitative elements.

Pre-requisites

• RSCH 8260
• RSCH 8360
• RESI 8402
• RESI 8802