Discovering the Scientist Within

Who Needs Data? Publicly Available Datasets You Can Use in Class

*Open Science, Statistics / , /

Looking for large publicly available data for your students to explore? Below we provide a collection of sources and links. Title Description Link The Stanford Open Policing Project Standardized stop data are available to download (by location) from the table below. We provide these data in both CSV and RDS formats. Click here The General Social Survey (GSS) ​​​Since […]

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The 5 Techniques of Science Denial

01. Psychology as a Science: Thinking Like a Researcher, Communicating Psych Science, Reading Research, Research Methods / , , , , /

In the article “A history of FLICC: the 5 techniques of science denial” places five strategies (Fake experts, Logical fallacies, Impossible expectations, Cherry picking, and Conspiracy theories.) into a the acronym FLICC. This article, elaborates on many other techniques within these broad 5 categories, including examples of each. The article includes links to a three

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Connected Papers: A Visual Tool for Writing Literature Reviews

Communicating Psych Science, The APA Style Research Report / , /

From the website: “Enter a typical paper and we’ll build you a graph of similar papers in the field. Explore and build more graphs for interesting papers that you find – soon you’ll have a real, visual understanding of the trends, popular works and dynamics of the field you’re interested in. “ In the above example,

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Practice: Repeated-Measures ANOVA

10. Within-Subjects Design, 12. Repeated Measures Analysis of Variance (RM-ANOVA), Research Methods, Statistics / , , , , /

In this activity, students will take data from a fictitious design to practice conducting a Repeated-Measures Analysis of Variance (ANOVA). First, provide students with the research scenario and the accompanying questions to have them determine the research design, statistical analysis to use, and independent and dependent variables. Next, have students set up a data file

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Practice: Two-Way (Factorial) ANOVA

11. Factorial Design, 13. Factorial Analysis of Variance (ANOVA), Research Methods, Statistics / , , , , /

In this activity, students will take data from a fictitious 2 x 2 factorial design to practice conducting a Two-Way (Factorial) Analysis of Variance (ANOVA). First, provide students with the research scenario and the accompanying questions to have them determine the research design, statistical analysis to use, and independent and dependent variables. Next, have students

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Practice: One-Way ANOVA

09. Multigroup Design, 11. One-Way Analysis of Variance (ANOVA), Research Methods, Statistics / , , , , , /

In this activity, students will take data from a fictitious multi-group design to practice conducting a One-way Analysis of Variance (ANOVA). First, provide students with the research scenario and the accompanying questions to have them determine the research design, statistical analysis to use, and independent and dependent variables. Next, have students set up a data

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Practice: t-test for Independent Means

08. Two-Group Design, 10. t test For Two Independent/Unrelated Samples, Research Methods, Statistics / , , , , , /

In this activity, students will take data from a fictitious two-group design to practice conducting a t-test for Independent Means. First, provide students with the research scenario and the accompanying questions to have them determine the research design, statistical analysis to use, and independent and dependent variables. Next, have students set up a data file

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Video: Sample from a Statistical Distribution, Clearly Explained

05. Probability and the Distribution of Sample Means, Statistics / , , , , /

This short video (3:48) explains sampling a distribution from StatQuest with Josh Starmer. Bam. Before watching, students should be familiar with histograms. You can find the StatQuest website here.

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Video: Central Limit Theorem and Distributions of Sample Means

05. Probability and the Distribution of Sample Means, 07. Hypothesis Testing with a Distribution of Means, Statistics / , , , , , /

This video (7:34) explains the central limit theorem, where distributions of means of samples come from, and how those distributions are normally distributed from StatQuest with Josh Starmer. Bam. Before watching, students should have a good understanding of the normal distribution. You can find the StatQuest website here.

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Video: Statistical Significance What Are p Values? How Do We Interpret Them? How Do We Calculate Them?

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

A video (11:21) (which includes an “awesome song” in the beginning) that explains p values and their interpretation from StatQuest with Josh Starmer. Bam. Students should watch this before the video (below) on calculating p values. If you’re interested in how to calculate p values, this video (25:14) gives a thorough explanation. You can find

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Video: What is a Distribution? Normal Distributions, Clearly Explained

04. Z-Scores and the Normal Curve / , , , /

A short (5:14) video that introduces statistical distributions from StatQuest with Josh Starmer. This is great for students to watch before a discussion of the normal distribution. A short (5:12) video that clearly explains normal distributions from StatQuest with Josh Starmer. You can find the StatQuest website here.

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Assignment: Data Visualization (Histograms, Pie Charts, and Scatterplots) (SPSS)

*Statistical Software Packages, 02. Frequency Distributions and Visual Displays of Data, Statistics / , , , , , , , , , /

In this assignment (created by Dr. Kimberly A. Barchard and Dr. Leiszle Lapping-Carr), students learn how to create and edit histograms, pie charts, and scatterplots in SPSS. A detailed grading rubric is included. This assignment was designed to be completed with an existing dataset (the address is given on the assignment). The handout includes instructions

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Assignment: Basic Data Transformation (Recode, Reverse Code, Calculating Totals) (SPSS)

*Statistical Software Packages, Statistics / , , , , , , /

In this assignment (created by Dr. Kimberly A. Barchard and Dr. Leiszle Lapping-Carr), students learn how to recode a string variable into a numeric variable, reverse code a numeric variable, and calculate a total score. A detailed grading rubric is included. This assignment was designed to be completed with an existing dataset (the address is

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Assignment: Selecting Cases / Calculating Statistics for Subgroups (SPSS)

*Statistical Software Packages, Statistics / , , , , , , /

In this assignment (created by Dr. Kimberly A. Barchard and Dr. Leiszle Lapping-Carr), students will use SPSS to compare two subgroups (men and women) using three different methods: select cases, split file, and explore. A detailed grading rubric is included. This assignment was designed to be completed with an existing dataset (the address is given

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Assignment: Working with Syntax (SPSS)

*Statistical Software Packages, Statistics / , , , , , /

In this assignment (created by Dr. Kimberly A. Barchard and Dr. Leiszle Lapping-Carr), students learn create syntax commands by typing them and by using the paste function, and they will learn how to save the syntax file in SPSS format and pdf format. A detailed grading rubric is included. This assignment was designed to be

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Assignment: Creating a Data Set, Calculating Descriptive Statistics (SPSS)

*Statistical Software Packages, Statistics / , , , , , /

In this assignment (created by Dr. Kimberly A. Barchard and Dr. Leiszle Lapping-Carr), students learn the basics of SPSS, including how to create a new data file or open an existing data file, enter data, calculate descriptive statistics, and save data and output files. A detailed grading rubric is included. This assignment was designed to

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Assignment: Correlation (SPSS)

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

In this assignment (created by Dr. Kimberly A. Barchard and Dr. Leiszle Lapping-Carr), students learn how to calculate the Pearson Product-Moment correlation using SPSS and how to interpret the output. A detailed grading rubric is included. This assignment was designed to be completed with an existing dataset (the address is given on the assignment). The

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