This article by Lisa Lawmaster Hess from FacultyFocus.com includes several tips for making the switch to an online class go more smoothly. Key suggestions include: Hold Zoom office hours Use an asynchronous format Rethink exams Use low stakes responses. To learn about the other three, you can check out the full article here.
Seven Things That Worked in My Online Class Read More »
The switch to online learning means that we will need to switch up many of go-to first day of class icebreaker activities. Importantly, whatever we choose will likely need to work well via video meeting programs like Zoom. Rather than reinvent the wheel, you can check out the suggestions in this article by Eugene Korsunskiy
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One of the most tedious parts of creating a syllabus is setting up the schedule. This tool, created by Caleb does it for you. Enter in a few key dates (e.g., start and end of the semester), the days of the week you meet, and this provides the dates the class meets each months. Click
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A clip (5:30) from the The Daily Show with Jon Stewart that demonstrates how sampling bias and demand characteristics can lead to misleading conclusions. “Poll Bearers: Cable news polls might not reflect public opinion so much as the ability of viewers to repeat the ideas they just heard.” View the episode here.
Examples of Sampling Bias and Demand Characteristics through a Daily Show Clip Read More »
Establishing a rapport with students is connected to students’ success, interest, and pro-academic behaviors. Rapport can be particularly hard to establish in an online learning environment. One way to help establish rapport is by starting the semester with a survey that helps you get to know the students and their needs. Teachers who do this
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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 (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
Video: Frequencies and Descriptive Statistics (SPSS for Beginners) Read More »
A brief (2:25) video from Pew Research Center in which, “The first video in Pew Research Center’s Methods 101 series helps explain random sampling – a concept that lies at the heart of all probability-based survey research – and why it’s important.”
Video: Random Sampling Read More »
This activity gives students practice identifying confounds in several descriptions of research. This activity should take approximately 10 minutes. Students could work individually or in groups to identify the confound in each scenario. An answer key is provided. Please click here for the file.
Activity: Identifying Confounds Read More »
Video (5:27) from Pew Research Center in which, “The second video in Pew Research Center’s “Methods 101” series helps explain question wording – a concept at the center of sound public opinion survey research – and why it’s important.”
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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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