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All students completing a Ph.D. in the Psychology department (Ph.D. in Psychology or Ph.D. in Cognitive Neuroscience) are required to complete three common courses covering introductory topics in applied statistics and quantitative methods: Quantitative Methods I (PSY 5939), Quantitative Methods II (PSY 5939), and Multivariate Analysis in Applied Psychological Research (PSY 5246C).
Students who complete three (3) additional advanced quantitative methods electives, for a total of 6 statistics courses, can receive a departmental acknowledgement that they have completed advanced quantitative training. Students must achieve a minimum of B- in each course.
Complete this form after you have completed all courses.
NOTE: This is a departmental acknowledgement of advanced training and does not appear on your final transcript or diploma.
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Introductory courses completed
Please indicate if you are substituting another course (e.g., from a previous M.A./M.S. degree). Substitutions will be confirmed by Dr. Coxe and Dr. Frazier (Director of Graduate Studies).
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Three (3) elective courses are required.
Please attach the syllabus for any course not in the list below.
Approved courses (as of Fall 2021)
Introduction to SEM for Psychological Research (PSY 5939)
Longitudinal Data Analysis (PSY 5939 / PHC 6056)
Categorical Data Analysis (PSY 5939)
Missing Data (PSY 5939)
Multilevel Models (PSY 5939)
Data Science for the Social Sciences (PSY 5939)
Statistical Graphics and Communication (PSY 5939)
Quasi-experiments and Causal Inference (PSY 5939)
Mediation (PSY 5939)
Systematic Review & Meta-Analysis (PHC 6062)
Hierarchical Linear Modeling for Educational Research (EDF 7489)
High Dimension Data Analysis (STA 6636)
Network Analysis for Education and Social Science (SCE 7990)
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Elective 1
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Include department code (e.g., PSY, STA), course number, and course title.
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Elective 2
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Include department code (e.g., PSY, STA), course number, and course title.
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Elective 3
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Include department code (e.g., PSY, STA), course number, and course title.
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