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Statistics Workshop for Psychologists

Statistics Workshop for Psychologists. Links to all Lessons. How to Test Moderation when X is Continuous and M is Categorical with 3 Levels. Let’s test a model where dispositional perspective taking is predicting subjects’ sympathy, and the experimental condition is moderating that effect. And let’s start with the easy case where we only have two categories in the moderator perspective taking and objective. 125) = .77, p = .44, and there was no moderation,. 125) = .04, p = .97. We have to do two things.

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Statistics Workshop for Psychologists | psychstatsworkshop.wordpress.com Reviews

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Statistics Workshop for Psychologists. Links to all Lessons. How to Test Moderation when X is Continuous and M is Categorical with 3 Levels. Let’s test a model where dispositional perspective taking is predicting subjects’ sympathy, and the experimental condition is moderating that effect. And let’s start with the easy case where we only have two categories in the moderator perspective taking and objective. 125) = .77, p = .44, and there was no moderation,. 125) = .04, p = .97. We have to do two things.

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Statistics Workshop for Psychologists | psychstatsworkshop.wordpress.com Reviews

https://psychstatsworkshop.wordpress.com

Statistics Workshop for Psychologists. Links to all Lessons. How to Test Moderation when X is Continuous and M is Categorical with 3 Levels. Let’s test a model where dispositional perspective taking is predicting subjects’ sympathy, and the experimental condition is moderating that effect. And let’s start with the easy case where we only have two categories in the moderator perspective taking and objective. 125) = .77, p = .44, and there was no moderation,. 125) = .04, p = .97. We have to do two things.

INTERNAL PAGES

psychstatsworkshop.wordpress.com

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Quickly Find Orthogonal Contrasts for Any Number of Conditions | Statistics Workshop for Psychologists

https://psychstatsworkshop.wordpress.com/2016/05/18/quickly-find-orthogonal-contrasts-for-any-number-of-conditions

Statistics Workshop for Psychologists. Links to all Lessons. Quickly Find Orthogonal Contrasts for Any Number of Conditions. What I care about is the first contrast that compares groups A and B. I don’t care at all about the second contrast, but I just need it to complete the experimental design (otherwise my error term could increase, which could make it harder for me to find the effect I care about). This entry was posted in Uncategorized. May 18, 2016. Write APA-Style Manuscripts Directly in RStudio.

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May | 2015 | Statistics Workshop for Psychologists

https://psychstatsworkshop.wordpress.com/2015/05

Statistics Workshop for Psychologists. Links to all Lessons. Monthly Archives: May 2015. Lesson 12: Writing Functions to Make Analyses More Efficient. In this lesson I’ll show you how to write your own functions. We’ll start out simple and then build our way up to show some of the diverse ways that you can use functions in your own research. Additionally, writing your own functions should help you understand what’s going on when you use other functions. The basic format of any function is this:. Will wor...

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September | 2016 | Statistics Workshop for Psychologists

https://psychstatsworkshop.wordpress.com/2016/09

Statistics Workshop for Psychologists. Links to all Lessons. Monthly Archives: September 2016. How to Test Moderation when X is Continuous and M is Categorical with 3 Levels. Let’s test a model where dispositional perspective taking is predicting subjects’ sympathy, and the experimental condition is moderating that effect. And let’s start with the easy case where we only have two categories in the moderator perspective taking and objective. 125) = .77, p = .44, and there was no moderation,. Second, we ha...

4

Lesson 10: Testing Differences in the Means of Two Independent Groups | Statistics Workshop for Psychologists

https://psychstatsworkshop.wordpress.com/2015/01/03/lesson-10-testing-differences-in-the-means-of-two-independent-groups

Statistics Workshop for Psychologists. Links to all Lessons. Lesson 10: Testing Differences in the Means of Two Independent Groups. In this lesson, I introduce the independent samples t test, which you use to test for a difference in the means of two independent samples. You will generate fake data to practice using the t test. You predict that people who feel powerless will feel more sympathy for someone else who is upset than people who feel powerful. Your hypothesis is that subjects in the powerless c...

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Statistics Workshop for Psychologists | Page 2

https://psychstatsworkshop.wordpress.com/page/2

Statistics Workshop for Psychologists. Links to all Lessons. Lesson 11: Plotting Group Means in a Bar Graph. In this lesson, I’ll show you how to use the ggplot2 package to plot group means in a bar graph. We’ll also plot standard error bars. Short Introduction to ggplot. The ggplot2 package allows you to do some complicated plotting, but we’ll start really simple. First, you’ll need to install the ggplot2 package and load it. Groups - factor(rep(c('powerless','powerful'), each=60). Sympathy - rowMeans(c...

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joshwondra.com

Josh Wondra | Social Psychology

http://joshwondra.com/blog.html

Mundane Details of Psychology Research. Treats the day-to-day decision making that psychologists have to do. Topics include managing research assistants, planning the pace of research, costs of research, and more. Statistics Workshop for Psychologists. This blog is used to write short statistics and R lessons for my research assistants, but I make it publicly available.

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psychstatsworkshop.wordpress.com

Statistics Workshop for Psychologists

Statistics Workshop for Psychologists. Links to all Lessons. How to Test Moderation when X is Continuous and M is Categorical with 3 Levels. Let’s test a model where dispositional perspective taking is predicting subjects’ sympathy, and the experimental condition is moderating that effect. And let’s start with the easy case where we only have two categories in the moderator perspective taking and objective. 125) = .77, p = .44, and there was no moderation,. 125) = .04, p = .97. We have to do two things.

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