About this Course

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Intermediate Level

Course participants should have successfully completed an introductory statistics course prior to enrolling in the online course.

Approx. 24 hours to complete
English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

Course participants should have successfully completed an introductory statistics course prior to enrolling in the online course.

Approx. 24 hours to complete
English

Offered by

Placeholder

University of Florida

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Week 1: Introduction to Multilevel and Longitudinal Designs

4 hours to complete
7 videos (Total 77 min), 3 readings, 3 quizzes
7 videos
1.1 Review of basic statistical concepts9m
1.2 Introducing longitudinal studies12m
1.3 Studies with a single level of clustering10m
1.4 Studies with multiple levels of clustering8m
1.5 Multilevel and longitudinal studies7m
Guided practice of GLIMMPSE software 120m
3 readings
Pre Survey10m
Week one lecture notes5m
Power or sample size analysis problem 11h
3 practice exercises
Practice assessment with feedback 110m
Graded assessment 130m
Power and sample size analysis quiz 130m
Week
2

Week 2

5 hours to complete

Week 2: Foundations of Complex Multilevel and Longitudinal Designs

5 hours to complete
6 videos (Total 81 min), 2 readings, 3 quizzes
6 videos
2.1 Understanding the hypothesis16m
2.2 Power and type I error6m
2.3 Choosing the test11m
2.4 Correlation structure15m
Guided practice of GLIMMPSE software 217m
2 readings
Week two lecture notes5m
Power or sample size analysis problem 21h
3 practice exercises
Practice assessment with feedback 230m
Graded assessment 230m
Power or sample size analysis quiz 230m
Week
3

Week 3

5 hours to complete

Week 3: Model Assumptions, Alignment, Missing Data, and Dropout

5 hours to complete
6 videos (Total 69 min), 2 readings, 3 quizzes
6 videos
3.1 Alignment of power and data analysis7m
3.2 Predicting missing data and dropout11m
3.3 Accounting for missing data and dropout8m
3.4 Continuous, binary and Poisson outcomes4m
Guided practice of GLIMMPSE software 315m
2 readings
Week 3 lecture notes5m
Power or sample size analysis problem 31h
3 practice exercises
Practice assessment with feedback 330m
Graded assessment 330m
Power or sample size analysis quiz 330m
Week
4

Week 4

5 hours to complete

Week 4: Inputs to Analysis, Recruitment Feasibility, and Multiple Aims

5 hours to complete
6 videos (Total 55 min), 2 readings, 3 quizzes
6 videos
4.1 Inputs for power analysis: Internal pilot studies3m
4.2 Inputs for power analysis: Planned pilot studies9m
4.3 Studying power via simulation8m
4.4 Demonstrating recruitment feasibility8m
4.5 Handling multiple aims10m
2 readings
Week 4 lecture notes5m
Power or sample size analysis problem 41h
3 practice exercises
Practice assessment with feedback 430m
Graded assessment 430m
Power or sample size analysis quiz 430m

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