Statistics

Open Stats Lab: Two-Way (Factorial) ANOVA Activities

*Statistical Software Packages, 11. Factorial Design, 12. Mixed Design, 13. Two-Way Analysis of Variance (ANOVA) / , , , , , , , , /

Activities focus on the following topics: (TWO-WAY ANOVA) Do People Judge Physical Distances of Locations Based on Their Psychological Orientation Toward Them? Here students get to conduct a two-way (factorial) ANOVA, tests for the interaction, and create a figure. (MIXED ANOVA) Do People Underestimate the Pleasure of Remembering Ordinary vs. Extraordinary Events? Here students get […]

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Open Stats Lab: One-Way ANOVA Activities

*Statistical Software Packages, 09. Multigroup Design, 10. t test For Two Independent/Unrelated Samples, 11. One-Way Analysis of Variance (ANOVA) / , , , , , , , /

Activities focus on the following topics: (ANOVA w/ PLANNED COMPARISONS) Does Reasoning about Personal Problems Improve with Psychological Distance? Here students get to conduct a one-way ANOVA (with planned comparisons) and create a figure. (ANOVA w/ PLANNED CONTRASTS) Can Playing Tetris Reduce the Occurrence of Intrusive Memories? Here students get to conduct a one-way ANOVA

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Open Stats Lab: t-test Activities

08. Two-Group Design, 09. t test for a Single & Two Paired/ Dependent/Related Samples, 10. t test For Two Independent/Unrelated Samples, 16. Chi-square Tests / , , , , , , , , /

Activities focus on the following topics: (SINGLE SAMPLE and PAIRED-SAMPLES) Does Music Convey Social Information to Infants? Here students get to conduct a single/one sample t-test, a t-test for dependent means (paired samples), and can create a boxplot and/or scatterplot. (TWO INDEPENDENT SAMPLES) Do Spoken or Written Words Better Express Intelligence? Here students get to

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Open Stats Lab: Regression Activities

*Open Science, *Statistical Software Packages, 07. Correlational/Survey Research, 15. Regression / , , , , , , , , , /

Activities focus on the following topics: Why are People Biased When Reasoning About the Status Quo? Here students get to conduct bivariate correlations, regression, and multiple regression. They may also create a table. Do Experts Overrate the Extent of Their Expertise? Here students will conduct descriptive statistics, t-tests, multiple regression, and use a split file.

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Open Stats Lab: Correlation Activities

*Statistical Software Packages, 07. Correlational/Survey Research, 14. Correlation, Statistics / , , , , , , , , , , /

Activities focus on the following topics: Does Being Wealthy Distort Perceptions of Wealth Inequality? Here students get to create new variables, calculate means and standard deviations, and conduct bivariate correlations. Do Outbreaks of Infectious Diseases Influence Voting Behavior? Here students will need to select certain cases for the analysis, conduct bivariate correlations, and generate scatterplots.

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Link: Open Stats Lab

*Data Ethics, *Open Science, Statistics / , , , /

Open Stats Lab (OSL) is a free resource for the teaching of introductory statistics. From the site: “OSL is primarily a resource for the teaching (and learning) of statistics. Although many statistics textbooks come with supplemental data sets to help train students in data analysis, these data sets often lack the richness and complexity of

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Assignment: Creating a Conference Poster on Sex Differences (SPSS)

*Statistical Software Packages, 02. Frequency Distributions & Data Visualization, 10. t test For Two Independent/Unrelated Samples, Communicating Psych Science, Poster Presentations / , , , , , , , , , /

In this assignment (created by Dr. Kimberly A. Barchard and Dr. Leiszle Lapping-Carr), students conduct a literature review, analyze data using an independent samples t-test and a confidence interval, create a grouped frequency distribution and a histogram, write a research report, and create a PowerPoint poster. A detailed grading rubric is included. This assignment was

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Video: Chi-Square Calculation

16. Chi-square Tests, Statistics / , /

A short (~5 minute) video (created by J David Eisenberg) with straightforward examples and explanations of how to compute the chi-squared statistic for independent measures of nominal data. Examples focus on who uses a garbage can vs. who litters, among males and females. Another example focuses on the color of fliers and whether people take

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Video: Sampling Distribution of the Sample Means

07. Hypothesis Testing with Distribution of Means, Statistics / , , , /

A Khan Academy video that demonstrates calculating means of samples in the context of the central limit theorem, including a discussion of the Sampling Distribution of the Sample mean (or the Distribution of Means of Samples). You can find the whole series of Khan Academy videos on Probability and Statistics here.

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Video: Introduction to Hypothesis Testing

06. Introduction to Hypothesis Testing, Statistics / , , , /

A really well done video that clearly explains the basics of hypothesis testing. Students could easily watch this at home as part of a flipped classroom approach and come to class with a solid foundation. It has over 2 million views for a reason. This video is from the http://www.MathTutorDVD.com series.

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Lecture Slides: Power and the Elephant (Understanding the Relation Between Sample Size, Effect Size, and Significance Level)

08. Statistical Significance, Confidence Intervals, Effect Size, & Power, Statistics / , /

This activity (created by Dr. Lisa Dinella) has students participate in a lively game show that serves as a metaphor for the relation between sample size, effect size, and significance level when determining power The goal of this is to provide students with an example that demonstrates the interrelation of effect size, significance level, and

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Lecture Slides: Predicting Job Performance (Multiple Regression)

*Statistical Software Packages, 15. Regression, Statistics / , , , , , /

This is an example (created by Dr. Alisa McArthur) looking at predictors of job performance that shows simple multiple regression using SPSS which illustrates how multicollinearity can lead to results that are inconsistent and difficult to interpret. It includes both a PowerPoint as well as hard copy for students to help them get more comfortable

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Stats in Everyday Life: Z-scores and the Top 20 Athletes Ever

02. The Research Process: Ideas to Innovations, 04. The Normal Curve & Z-scores / , , /

“Top” lists of anything are always popular because people want to see how the list compares to their own beliefs. Readers then get to debate the merits of who was included or excluded. When it comes to a diverse group such as athletes, it can be difficult to compare across sports. Please click here for

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Lecture Slides: Samples Representing the Population with the Use of M&Ms

04. Psychologist’s Toolbox: Sampling, Measurement, Reliability, & Validity, 05. Probability & Sampling Distributions / , , , /

This PowerPoint leads students through an activity that stresses the need to have a relatively large sample when trying to accurately represent the population.Instructors will need to supply students with fun size bags of plain M&Ms®. Students first estimate the population frequency of each color of candy using their small sample (fun size bag). Then

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Activity: Orange You Glad for Descriptive Statistics?

02. Frequency Distributions & Data Visualization, 03. Central Tendency & Variability / , , /

This is a lab or classroom activity “Oranges Are the New Statistics“(created by Kathrine Frey Frøslie) that has students peel oranges and collect data from various aspects of the experience (e.g., number of wedges, speed of peeling, weight of oranges, etc.) Students then use this data to calculate descriptive statistics such as central tendency, and

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Online Activity: Simulation of Sampling Distributions

04. Psychologist’s Toolbox: Sampling, Measurement, Reliability, & Validity, 05. Probability & Sampling Distributions, 07. Hypothesis Testing with Distribution of Means, Statistics / , , , /

This Java applet (created by Dr. David Lane) estimates and plots the sampling distributions of various statistics based upon the user’s specified population distribution, sample size, and statistic. The simulation and its associated questions can be used as either homework assignment or as an in-class activity for those classes with access to computers with Internet

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Link: FiveThirtyEight.com’s Hack Your Way to Scientific Glory

*Data Ethics, *Open Science, 02. Frequency Distributions & Data Visualization / , , , , , , /

This website lets you take the wheel and play with several different parameters during data analysis. By defining who you’re sample is, how you measure economic performance, an what other variables you factor in, you’ll get to see how it impacts results. Sure enough, after a few tries you’re virtually sure to get “publishable” findings.

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Resource: Learning Statistics with JAMOVI

*Statistical Software Packages, Statistics / , , /

This is a very basic/brief statistics textbook by Dr. Danielle Navarro and Dr. David Foxcroft. It includes an easy to follow section on using JAMOVI with instructions and screenshots. If you’re new to JAMOVI this is a fantastic resource. Please click here for the free file. To download JAMOVI, click here.

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Link: Society for the Improvement of Psychological Science (SIPS)

*Data Ethics, *Open Science / /

From The Society for the Improvement of Psychological Science (SIPS) Mission Statement: The Society for the Improvement of Psychological Science (SIPS) brings together scholars working to improve methods and practices in psychological science. Anyone interested in improving psychological research is welcome to join, regardless of experience. SIPS is a service organization aiming to make psychological science higher

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Online Activity: Open Science in Psychology

*Data Ethics, *Open Science, Research Methods, Statistics / , , , , , , , , /

A set of lecture slides (created by Dr. Benjamin Le) entitled, “Open Science in Psychology: Why, What, & How.“ This stylish slide deck reviews the problem (i.e., the replication crisis) including several examples of failed replications, questionable research practices, and provides potential solutions (e.g, using open science concepts). Please click here for the file.

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