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Power and Sample Size for Multilevel and Longitudinal Study Designs(으)로 돌아가기

플로리다대학교의 Power and Sample Size for Multilevel and Longitudinal Study Designs 학습자 리뷰 및 피드백

35개의 평가

강좌 소개

Power and Sample Size for Longitudinal and Multilevel Study Designs, a five-week, fully online course covers innovative, research-based power and sample size methods, and software for multilevel and longitudinal studies. The power and sample size methods and software taught in this course can be used for any health-related, or more generally, social science-related (e.g., educational research) application. All examples in the course videos are from real-world studies on behavioral and social science employing multilevel and longitudinal designs. The course philosophy is to focus on the conceptual knowledge to conduct power and sample size methods. The goal of the course is to teach and disseminate methods for accurate sample size choice, and ultimately, the creation of a power/sample size analysis for a relevant research study in your professional context. Power and sample size selection is one of the most important ethical questions researchers face. Interventional studies that are too large expose human volunteer research participants to possible, and needless, harm from research. Interventional studies that are too small will fail to reach their scientific objective, again bringing possible harm to research participants, without the possibility of concomitant gain from the increase in knowledge. For observational studies in which there are no possible harms to the participants, such as observational studies, proper power ensures good stewardship of both time and money. Most National Institutes of Health (NIH) study sections will only fund a grant if the grantee has written a compelling and accurate power and sample size analysis. The Institute of Education Sciences (IES), the statistics, research, and evaluation arm of the U.S. Department of Education, also offers competitive grants requiring a compelling and accurate power and sample size analysis (Goal 3: Efficacy and Replication and Goal 4: Effectiveness/Scale-Up). At the end of the online course, learners will be able to: • Use a framework and strategy for study planning • Write study aims as testable hypotheses • Describe a longitudinal and multilevel study design • Write a statistical analysis plan • Plan a sampling design for subgroups, e.g. racial and ethnic • Demonstrate the feasibility of recruitment • Describe expected missing data and dropout • Write a power and sample size analysis that is aligned with the planned statistical analysis This is a five-week intensive and interactive online course. We will use a mix of instructional videos, software demonstration videos, online readings, quizzes, and exercise assignments. The final course project is a peer-reviewed research study you design for future power or sample size analysis....

최상위 리뷰

필터링 기준:

Power and Sample Size for Multilevel and Longitudinal Study Designs의 6개 리뷰 중 1~6

교육 기관: jl b

2020년 6월 11일

This is just terrible. The instructor has just put up a bunch of slides, does a poor job narrating those slides, and seems to have little background in statistics. The sample size website that he promotes is poorly designed. The intro lecture describing the course is obnoxious, and contain question prompts that have nothing to do with what is being said. I don't understand why Coursera has allowed something like this on their site.

교육 기관: Dr G K

2020년 9월 29일

Very good course and contents. Excellant training videos and exercises

교육 기관: Stephan R

2021년 6월 11일

I have mixed feelings about the quality of this course. It was without a doubt the least well organised course of all the Coursera courses I have done. The content is relevant and there is enough to learn, but you have to accept that the forums don't work, there are hardly any participants, lecturers don't respond and the presentation of lessons is outdated. It took 3 weeks after submitting the last assignments befor I received my grades. This content deserves a major update.

교육 기관: María F A

2022년 3월 18일


교육 기관: Latha N

2020년 6월 16일

Great learning experience!!!

교육 기관: Kaigang L

2022년 4월 30일

Some questions in the final exam are confusing, e.g., Q6.