'Small effect size' presentation slideshows

Exam

Exam. Exam starts two weeks from today. Amusing Statistics. Use what you know about normal distributions to evaluate this finding:.

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Research design

Research design. IMD09120: Collaborative Media Brian Davison 2010/11. Research design. Recap Variables Types of design Hypotheses Sampling Your designs. Recap: tests you have done (1). Can the number of social networking accounts predict the number of contacts a person has?

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Correlation

Correlation. Introduction. Two meanings of correlation Research design Statistical Relationship Scatterplots. Relationship Scatterplots Quantification of relationship Correlation coefficient range +1.0 to - 1.0. r = .20. r = .50. r = .80. r = -.10. r = -.60. r = -.90.

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The Data Analysis Plan

The Data Analysis Plan. The Overall Data Analysis Plan. Purpose : To tell a story. To construct a coherent narrative that explains findings, argues against other interpretations, and supports conclusions. Three Steps of the Data Analysis Plan.

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EDL 7150 Inferential Statistics

EDL 7150 Inferential Statistics. Type I and Type II Errors, Effect Size andStatistical Power. Type I and Type II Errors What happens when we Accept H 0 when it is True ? Have we made and error?.

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EDL 7150 Inferential Statistics

EDL 7150 Inferential Statistics. Type I and Type II Errors, Effect Size andStatistical Power. Type I and Type II Errors What happens when we Accept H 0 when it is True ? Have we made and error?.

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Power

April 5, 2019. Power. Pieces of the Statistical Puzzle. There are 5 pieces of the puzzle that work together to create the clearest solutions for your statistical hypothesis tests Power Effect Size Sample Size Alpha level Type of Statistical Test. Power.

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Calculate the sample size needed given these factors Something Great /tutorialoutletdotcom

FOR MORE CLASSES VISIT www.tutorialoutlet.com Calculate the sample size needed given these factors: one-tailed t-test with two independent groups of equal size small effect size (see Piasta, S.B., & Justice, L.M., 2010) alpha =.05 beta = .2 Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample half the size. Indicate the resulting alpha and beta. Present an argument that your study is worth doing with the smaller sample (include peer-reviewed journal articles as needed to support your response).

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