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PREVIEW COURSE

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Course Overview

The 10 Attributes

Levels of Measurement Measures of Central Tendency Dummy Variables Direction Choosing a Test Running, Reading, Reporting H0s, Interpretation, Strength

One-Sample T-Tests: From Theory to Interpretation

Formulating Null and Alternative Hypotheses SPSS One-Sample T-Test & Confidence Intervals APA Reporting and Cohen's d for One-Sample T-Tests One-Sample T-Test Case Study P-Value Sensitivity and Effect Size Nuance

Mastering T-Tests: From Theory to SPSS and APA Reporting

One-Sample vs. Independent T-Tests Logic Understanding Dependent Samples T-Tests Practical SPSS: Paired T-Tests and Visual Logic APA Reporting and Cohen's d for T-Tests

Independent and Dependent Samples T-Tests

Independent vs. Dependent Samples Explained Independent vs. Dependent Samples Practice One-Sample vs. Paired Samples T-Tests Dependent vs. Independent T-Tests: Advanced Scenarios SPSS Setup and Hypothesis Formulation Interpreting SPSS: Levene's Test and Cohen's D

Associations: Correlation and Linear Regression in SPSS

Transitioning from Comparing Means to Association Theory Executing and Interpreting Bivariate Correlation Simple Linear Regression: Logic and Execution Multiple Regression and R-Square Interpretation

Multiple Regression: Interpreting Coefficients and Equations

Interpreting Regression Coefficients and P-Values Building and Calculating Regression Equations APA Reporting for Coefficients and Confidence Intervals Interactive Lab: Multiple Predictor Practice Q&A: Standard Error vs. Standard Deviation

Reporting One-Way ANOVA Results in APA Style

APA Reporting: The ANOVA Model, Post Hoc, and Variance Reporting Post Hoc Tests in APA Style Explaining Variance and Main Effects

Mastering One-Way ANOVA: Theory, SPSS, and Interpretation

Conceptual Framework: ANOVA vs. T-Tests SPSS Setup and Capitalization on Chance Formulating Null and Research Hypotheses Interpreting Results and Post Hoc Analysis Effect Size Calculation and Final Recap

Mastering Two-Way ANOVA in SPSS

Recap: One-Way ANOVA and Experimental Design Conceptualizing the Two-Way ANOVA Design Main Effects vs. Interaction Effects SPSS Setup: Variables, Plots, and Post-Hocs Formulating Null Hypotheses for Factorial ANOVA Checking Assumptions and Levene's Test Interpreting the ANOVA Table and Effect Size (Eta)Visual Analysis: Interpreting Means Plots

Mastering Factor Analysis and Scale Reliability in SPSS

Introduction to Factor Analysis and Latent Constructs Executing Factor Analysis and Interpreting Output Pattern Matrix Analysis and Naming Factors Reliability Analysis and Reverse Coding Computing Latent Variables and Handling Cross-Loadings

Reporting Chi-Square Results in APA Format

Writing and Interpreting the APA Chi-Square Report

Chi-Square Analysis and Measures of Association in SPSS

Introduction to Chi-Square and Measurement Hierarchy Selecting Measures of Strength and Symmetry Collapsing Categories and Data Transformation Assumptions, Interpreting Tables, and Effect Size Controlling for Variables Using Layers Asymmetrical Measures and Fisher's Exact Test

Advanced Chi-Square: Control Variables and Relationship types

Chi-Square Recap: Measurement Levels and Assumptions Adding Layers: Recoding and Multivariate Cross-Tabs Interpreting Sub-Group Significance and Strength Third-Variable Effects: Moderation and Spuriousness Understanding Suppression Effects and Final Recap

Science Fundamentals

Falsification: Why Stats Matters Science in a Minute Skepticism, Validity, Reliability

Stats Fundamentals

What is Inferential Statistics?Variables and Datasets Check for Missing Values

Normal Distributions

Normal Distributions are Everywhere Properties of a Normal Distribution I Don't Care About Your Average

Z-Scores

Distribution as a Ruler Many Ways to Talk Cumulative Percentages Finding the 95% Range How Long Do I Have to Wait?

All Distributions I

What is a Sampling Distribution?What's the Population Number?Measures of Dispersion SD vs SE Not Only Averages Linking Back to Book and Summary

Advanced: Literally Every Test

Turning Hypotheses Into Numbers Check If 0 or Not All About the Range Does the Range Include 0?What is a p-value?Alpha, Significance Level, Confidence Level The Alpha Rule: Reject Retain Two Worlds How to Find the Wiggle Room Intro to Errors Type I and II 1-Tailed vs. 2-Tailed Tests P-values in 1- and 2-Sided Tests

Advanced: All Distributions II

Sampling Discrete x Continuous Theoretical Approximations What is Bootstrapping What is Exact Approach

Advanced: The Bouncer Dilemma

Recap Literally Every Test Ranges Interval Estimates Errors Type I Type II The Critical Value Tradeoff Trick Questions Sample Size Changes