June 2020

Lecture Slides: Manipulating Independent Variables

This  lecture introduces students to several different ways of manipulating independent variables. Some techniques covered include: mock Facebook profiles, priming, having participants count money, and viewing cute pictures. The goal of this lecture is to get students to see a variety of ways that researchers can manipulate IVs. Each example provides the citation for the […]

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Lecture Slides: Calculating the t-test for Independent Means/Samples (Does Eating Spinach Make Your Stronger?)

The goal of this PowerPoint is to work through the step-by-step process of hand calculating a t-test for independent means. The slides start with an explanation of the formula involved and then a sample problem is presented. It is designed for you to have the class solve the problem along with you as you advance

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Lecture Slides: Calculating the Pearson r Correlation (Study Hours and GPA)

The goal of this PowerPoint is to work through the step-by-step process of hand calculating a Person Correlation. The slides start with the formula involved and then a sample problem is presented. It is designed for you to have the class solve the problem along with you as you advance through the slides and animation.

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Lecture Slides: Calculating the t-test for Paired-Samples/Dependent Means (Weight Loss Study)

The goal of this PowerPoint is to work through the step-by-step process of hand calculating a t-test for dependent means. The slides start with an explanation of the formula involved and then a sample problem is presented. It is designed for you to have the class solve the problem along with you as you advance

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Lecture Slides: Pie Taste Test (MultiGroup / Repeated-Measures Design Demonstration)

In this demonstration/activity (with PowerPoint slides) four student volunteers have the opportunity to provide taste ratings for several types of pie.  Instructors would need to provide plates, napkins, utensils, and the 4 types of pie. Type of pie can obviously vary, but students seem to be more engaged when there is an obvious “cheap” kind

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Lecture Slides: The Pepsi Challenge (Factorial Design Demonstration)

In this demonstration/activity (with PowerPoint slides) eight student volunteers have the opportunity to provide taste ratings for soda.  Instructors would need to provide cups and soda (usually a 16 oz bottle of each type of soda is enough). Type of soda can vary, but students seem to like the Pepsi vs. Coke dynamic. Another fun

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Lecture Slides: Arousal and Attraction (Two-Group Design Demonstration)

In this demonstration/activity (with PowerPoint slides) students are randomly assigned to a high or low arousal group based on the last digit of their social security number. Those in high arousal condition believe they will give a short speech on a randomly selected topic. Those in low arousal condition believe they will merely listen a

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Design & Data: How Do You Know If You Are Truly Helping? (Program Evaluation)

Key Topics and Links to Files Data Analysis Guide Applying Your Skills in the Real World: How Do You Know If You Are Truly Helping? Analyses Included: Single Sample t-test; t-test for Independent Means; Creating a Mean; Descriptive Statistics (Central Tendency)   Dataset Syntax Output BONUS – STUDY 1: How Can We Reduce Underage Drinking?

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Design & Data: Which Therapy is Best for Treating Eating Disorders? (Mixed Design and Mixed/Repeated-Measures ANOVA)

Key Topics and Links to Files Data Analysis Guide Which Therapy is Best for Treating Eating Disorders? Analyses Included: Mixed ANOVA/Repeated-Measures ANOVA Dataset Syntax Output BONUS: Do Others Help or Hinder Performance? Analyses Included: Mixed ANOVA/Repeated-Measures ANOVA Dataset Syntax Output The Data Analysis Guide contains all of the following: Design Summary (for the chapter study

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Design & Data: Do Pick-up Lines Really Work? (Factorial Design and Two-Way ANOVA)

Key Topics and Links to Files Data Analysis Guide “I Lost My Phone Number, Can I Borrow Yours?” Do Pick-up Lines Really Work? Analyses Included: Two-Way ANOVA Dataset Syntax Output BONUS: Do Tattoos and How You Dress Influence Whether Someone Will Help You?   Analyses Included: Two-Way ANOVA; Descriptive Statistics (Frequencies) Dataset Syntax Output The

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Design & Data: Can Watching Reality TV Shows Be Good for Us? (Within-Subjects Design, t-test for Paired/Dependent Samples, and Repeated-Measures ANOVA)

Key Topics and Links to Files Data Analysis Guide Can Watching Reality TV Shows Be Good for Us? Analyses Included: t-test for Dependent Means/Paired Samples t-test; Repeated-Measures ANOVA Dataset Syntax Output BONUS: Does Talking Lead to Distracted Driving? Analyses Included: Repeated-Measures ANOVA Dataset Syntax Output The Data Analysis Guide contains all of the following: Design

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Design & Data: I’m Feeling Hot, But Is the Earth Hot, Too? (MultiGroup Design and One-Way ANOVA)

Key Topics and Links to Files Data Analysis Guide I’m Feeling Hot, But Is the Earth Hot, Too? Analyses Included: One-Way Analysis of Variance (ANOVA) with Post Hoc test and Planned Contrasts; Reliability (Cronbach’s alpha); Chi-Square (Test of Independence) Dataset Syntax Output BONUS: Can Motivational Lyrics Reduce Pre-performance Anxiety and Improve Actual Task Performance? Analyses

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Design & Data: Texting, I Can’t Get You Out of My Mind (Two-Group Design and t-test for Independent Means/Samples)

Key Topics and Links to Files Data Analysis Guide Texting: I Can’t Get You Out of My Mind Analyses Included: t-test for Independent Means Dataset Syntax Output BONUS: How Does the Experience of Stress Influence Feelings toward One’s Relationship? Analyses Included: t-test for Independent Means; Creating a Mean; Reliability (Cronbach’s alpha)  Dataset Syntax Output The

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Design & Data: Is Going Greek a Good Idea? (Survey Research and Correlation)

Key Topics and Links to Files Data Analysis Guide Is Going Greek a Good Idea? Analyses Included: Pearson r correlation; Descriptive Statistics (Frequencies; Central Tendency); Scale Reliability (Cronbach’s alpha); Creating a Sum Dataset Syntax Output BONUS: What Contributes to College Satisfaction? Analyses Included: Pearson r correlation; Multiple Regression Dataset Syntax Output The Data Analysis Guide

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Design & Data: How Do Parents Respond to Their Child’s Public Tantrums? (Observational Research/Descriptive Statistics)

Key Topics and Links to Files Data Analysis Guide The Many Forms of Discipline in Parents’ Bag of Tricks Analyses Included: Descriptive Statistics (Frequencies; Central Tendency); Inter-observer Reliability (Cohen’s Kappa); Inter-observer Reliability (Pearson’s r); Creating a Mean; Creating a Median Split; Selecting Cases Dataset Syntax Output BONUS: Dyads at Diners (How often and how much

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Lecture Slides: How Personality Differs across the United States (ANOVA Review)

These slides (created by Dr. Jessica Hartnett) discuss a one-way ANOVA example from published research examining if different parts of the United States exhibit different personalities. In her blog post about it, she includes a link to a Time magazine article about the study, CSV and Excel versions of the dataset. Here is a blog

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Open Stats Lab: Identifying Questionnable Research Practices

Students read “Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling“ Student respond to a series of questions asking them to define questionable research practices, how they relate to Type 1 Error, consequences, and remedies. A lab summary includes: learning objectives, background, article citation, and the response questions. You can follow Open

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Open Stats Lab: Introduction to Pre-registration

Students read “Research Preregistration 101“ Students read “Example steps for doing a pre-registration in (social) psychology” from the OSF website. Student respond to a series of questions about the value of pre-registration, including its ability to counter HARKing. A lab summary includes: learning objectives, background, links to articles, and the response questions. You can follow

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Open Stats Lab: Additional Activities

Activities focus on the following topics: (RELIABILITY ANALYSIS) Do People Feel Immoral After Behaving Inauthentically? Here students get to compute new variable, calculate descriptive statistics, find Cronbach’s alpha, and create a table. (CHI-SQUARE TEST OF INDEPENDENCE) Why do People Fail to Follow Through on Their Good Intentions? Here students get to conduct a t-test for

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

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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