Publications by Sara Lieber
Lab 5 - Linear Regression with Categorical Predictors
For today’s lab, we’ll be using the data set called disagreeableness.csv on Canvas. Example: Let’s say a researcher is interested in whether people’s relationship statuses are related to how disagreeable they are. The researcher asks 162 participants whether they are single (1), dating (2), or seriously dating (3) and also measures thei...
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Linear Regression with a Single Categorical Predictor with Related Levels
For today’s lab, we’ll be using the data set called extraversion.csv on Canvas. Example: A researcher is interested in testing whether personality traits are characteristics that are stable across situations or whether the environment shapes people’s expression of personality traits. To test this research question, the researcher measure...
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Linear Regression with Multiple Categorical Predictors
Research Scenario Rejection sensitivity refers to the degree to which an individual is sensitive to interpreting ambiguous cues during interpersonal interactions as a sign of rejection. People high on rejection sensitivity may interpret a mildly negative experience, like not immediately receiving an answer to a text, more strongly as a sign of ...
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Polynomial Regression
Research Scenario A professor is interested in the pattern that average scores on the three exams that they give in their course follow. The professor gives three exams throughout the term: midterm 1, midterm 2, and a final exam. The professor hopes that scores on the exams follow a linear trend such that average scores improve on every success...
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Handling Survey Data
Research Scenario A researcher measures personality in their study using the Big Five Inventory-2 (BFI-2), which includes five subscales capturing each of the following personality traits: 1) Extraversion, 2) Agreeableness, 3) Conscientiousness, 4) Neuroticism (or negative emotionality), and 5) Openness (or open-mindedness). We need to prepare ...
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Linear Regression with a Single Continuous Predictor
Research Scenario Example: Researchers have theorized that conscientiousness, a personality trait assessing how organized, planful, and mindful of social rules an individual is, may predict important health outcomes. Specifically, theorists propose that people higher on conscientiousness may engage in less risky health-related, and more benefi...
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Linear Regression with Multiple Continuous Predictors
Research Scenario Example: Last week, we examined whether people’s conscientiousness predicted how good of health they reported being in. However, there are likely many variables in addition to conscientiousness that contribute to predicting people’s overall health! Multiple regression allows us to examine how multiple predictors contribut...
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Linear Regression with Continuous and Categorical Predictors
This week, we’ll be examining models that include both continuous and categorical predictors (but not their interactions - we’ll save that for next week). A model that examines the relationship between a categorical predictor and an outcome while controlling for a continuous covariate has traditionally been called an ANCOVA (Analysis of Co...
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Regression Diagnostics
There are many potential issues that we can run into when dealing with real, messy data. Regression diagnostics refers to the process of diagnosing potential issues with the data and deciding how to handle them. We’ll cover the following regression diagnostics: Outliers Missing Data Violatons of Correctly Specified Form Violations of Normalit...
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Linear Regression with a Single Categorical Predictor with 2 Independent Levels
Steps of Performing the Analysis The general steps we will undergo to conduct this analysis include: A priori power analysis Import the Data Data Cleaning & Wrangling Descriptive Statistics Fit the model Check whether model assumptions were met Interpret model output Calculate effect size & 95%CIs Example: Today we will be analyzing data from a ...
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