Video (11:19) from Research by Design described as follows, “Using the same example from the Wizard of Oz involving Munchkins and wicked witches in various regions that we used learning ANOVA by hand, we are going to learn about conducting a one-way ANOVA using SPSS. We will create the dataset in SPSS, conduct a one-way […]
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Video (7:37) from Research by Design described as follows, “We are now going to learn how to calculate a one-way chi-square in SPSS. This is the House of Pigs Chi Square, using the dataset BuildingPermits.sav. A house inspector randomly samples building permits pulled by 70 little pigs who were building houses, to determine whether a
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Video (8:11) from Research by Design and Dr. Todd Daniel, described as follows, “Another way of measuring the difference between two samples is to compare two unrelated groups or participants or samples. In this design, you measure two groups one time; in contrast, the previous paired test measured the same sample two times. With independent
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Video (6:02) from Research by Design and Dr. Todd Daniel, described as follows, “When we calculate the mean of a sample, we can then use a one-sample t test to compare that sample mean to another mean, such as a mean from a population, a normative group, or another known value (mean). The “one sample”
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Video (9:52) from Research by Design and Dr. Todd Daniel, described as follows, “Using the dataset we created in the first video, we now explore the relationship between our two scale-level variables: height and weight. We will use Pearson’s correlation to measure this relationship. We will also learn about a point biserial correlation with gender.”
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Video (14:01) from Research by Design and Dr. Todd Daniel, described as follows, “Having learned how to create a variable, you are ready to begin entering data. Dr. Daniel begins with descriptive statistics (numbers that describe our data) and shows you how to do some basic data cleaning and data exploration with the Frequencies command
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Video (10:27) from Research by Design in which, “We learn how to calculate a One-Way Chi-Square goodness of fit test in JASP using the setting for Multinomial Test. For the null hypothesis, we assume that the observed values in one group (the Pigs) do not differ from the values in a comparison population (the Bears)
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Video (23:18) from Research by Design in which, “Exploring our data about burnout and job satisfaction, we predict an outcome with a single variable using simple linear regression in JASP. I explain how regression works, then open an SPSS dataset in JASP. We explore the assumptions of homoscedasticity and linearity with a scatterplot and normality
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Video (18:47) from Research by Design in which, “Using a dataset about burnout and job satisfaction, we learn how to conduct a simple correlation, how to interpret it, and how to write it up in APA style. We begin by exploring the theoretical relationship among the variables to understand how correlation works. After we walk
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Video (14:02) from Research by Design in which, “We are off to see the wizard with an example of a one-way (factorial) ANOVA involving wicked witches and munchkins. We open a .CSV dataset in JASP, check the assumptions of homogeneity of variance and normality, conduct the test, interpret the results, and write up the findings
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Video (18:29) from Research by Design in which, “Using a dataset about puppy training, we learn how to set up and run an independent samples t test. We import data into JASP, conduct the test, interpret the results and write up the findings. We will learn to check the assumptions of homogeneity of variance using
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Video (16:57) from Research by Design in which, “The One Sample t-Test is a parametric procedure that tests whether a sample mean is statistically significantly different than a population mean or other known value. We will open a CSV dataset in JASP, check the assumptions of the test, conduct the one sample t-test, interpret the
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Concise video (9:50) from Research by Design in which, “We walk through the steps to identify three measures of central tendency (mean, median, and mode) using JASP. This is an excellent introduction to JASP software and some of the functions that we will use throughout the introductory statistics course.” (7:41) “We will learn how to
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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
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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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
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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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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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