Concise video from Research by Design in which, “We create an APA-style frequency table with scores in descending order, simple frequency, relative frequency, cumulative frequency, percentile, and sample size. We use JASP for the statistics, Excel for the formatting, and wrap it all up for presentation in Word. These same techniques work with open-source word […]
Abstract When people interpret the outcome of a research study, do they consider other relevant information such as prior research? In the current study, 251 college graduates read a single brief fictitious news article. The article summarized the findings of a study that found positive results for a new drug. Three versions of the article
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
Who Needs Data? Publicly Available Datasets You Can Use in Class Read More »
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
The 5 Techniques of Science Denial Read More »
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,
Connected Papers: A Visual Tool for Writing Literature Reviews Read More »
An article from the Conversation that answers the question, “What are some of the qualities of a good online course?” Please click here to read the article.
The 7 Elements of a Good Online Course Read More »
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
Practice: Repeated-Measures ANOVA Read More »
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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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
Practice: One-Way ANOVA Read More »
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
Practice: t-test for Independent Means Read More »
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.
Video: Sample from a Statistical Distribution, Clearly Explained Read More »
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.
Video: Central Limit Theorem and Distributions of Sample Means Read More »
This video (14:21) explains the statistic fundamentals of central tendency and variability from StatQuest with Josh Starmer. Bam. You can find the StatQuest website here.
Video: Mean, Variance, and Standard Deviation Read More »
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
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.
Video: What is a Distribution? Normal Distributions, Clearly Explained Read More »
A short (3:41) video that explains histograms from StatQuest with Josh Starmer. Another short (2:32) video, this time explaining boxplots. You can find the StatQuest website here.
Video: Histograms and Boxplots, Clearly Explained Read More »
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
Assignment: Data Visualization (Histograms, Pie Charts, and Scatterplots) (SPSS) Read More »
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
Assignment: Basic Data Transformation (Recode, Reverse Code, Calculating Totals) (SPSS) Read More »
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
Assignment: Selecting Cases / Calculating Statistics for Subgroups (SPSS) Read More »
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
Assignment: Working with Syntax (SPSS) Read More »
