SPSS for Academic Research

Course details

Explore how to run tests for academic research with SPSS, the leading statistical software. In this course, Yash Patel dives into SPSS, focusing on how to run and interpret data for the most common types of quantitative tests. Topics include t-tests, analysis of variance (ANOVA), and understanding the statistical measurements behind academic research. Review the tenants of qualitative testing, including the central theorem, P values, and confidence intervals, and specific use cases for tests in SPSS. For each type, Yash provides some general guidelines and assumptions, along with a challenge and solution exercise to practice what you've learned.

Learning objectives
Quantitative vs. qualitative analysis
Sample size considerations
Normal distribution
Estimating the population mean
One-sample t-test
Paired-sample t-test
One-way and two-way ANOVA
Repeated measure ANOVA

Concepts

Introduction

Welcome
What you should know
Course setup and the exercise files

General Notions about Science and Research

Social science and statistics
Science vernacular
Quantitative vs. qualitative

Quantitative Research Fundamentals

Populations and samples
Cyclical experimentation
Sample size considerations
Normal distribution
The central limit theorem
Estimate the population mean
Z vs. T statistic
Hypotheses, confidence intervals, and p-values

One-Sample T-Test

Scenario and context
Assumptions and hypotheses
Data analysis in SPSS
Interpretation of results
Challenge - One-sample t-test
Solution - One-sample t-test

Paired-Samples T-Test

Scenario and context
Assumptions and hypotheses
Data analysis in SPSS
Interpretation of results
Challenge - Paired-samples t-test
Solution - Paired-samples t-test

Balanced One-Way ANOVA

Scenario and context
Assumptions and hypotheses
Data analysis in SPSS
Interpretation of results
Challenge - One-way ANOVA
Solution - One-way ANOVA

Two-Way ANOVA

Scenario and context
Assumptions and hypotheses
Data analysis in SPSS
Interpretation of results
Challenge - Two-way ANOVA
Solution - Two-way ANOVA

Repeated Measures ANOVA

Scenario and context
Assumptions and hypotheses
Data analysis in SPSS
Interpretation of results
Challenge - Repeated measures ANOVA
Solution - Repeated measures ANOVA

Conclusion

Next steps