Online Statistics Guide

Welcome to the Online Statistics Guide

This site provides SPSS  tutorials and content tutorials to assist doctoral students and candidates in better understanding descriptive statistics and basic inferential statistical techniques. Hypothesis testing, confidence intervals, t-tests, analysis of variance, correlation techniques, and nonparametric statistical methods are just some of the concepts reviewed in the FREE Online Statistics Guide on this website.

For tutorials on multivariate statistics (e.g. MANOVA, factorial ANOVAs, multiple regression), check out my courses on Udemy:

Important Information about the SPSS tutorials

Click on the SPSS tutorial links to open them in a new web page. You will need to have the Adobe Flash Player plug in installed on your computer to view  the SPSS tutorials.

Each tutorial has a corresponding data set. The data set was used in the tutorial and enables you to practice the procedure. All Sample Data sets are .sav files and can only be opened using IBM SPSS.

Since the professional version of SPSS was used for the tutorials, some of the buttons and pop-up boxes may vary in your version.

The Beginning…Learning the Basics

Statistics Guide (PDF) (Right-click and choose Save As to download)

The Statistics Guide  is a guide that overviews the various topics covered in the online guide.

Tutorials

Introduction to Statistics…What are they? And, How Do I Know Which One to Choose?

This tutorial provides an overview of statistical analyses in the social sciences. It distinguishes between descriptive and inferential statistics, discusses factors for choosing an analysis procedure, and identifies the difference between parametric and nonparametric procedures.

Variables, Part 1

This tutorial focuses on the definition of a variable, the types of variables, and the levels of measurement.

Variables, Part 2

This tutorial focuses on identifying variables; that is, labeling them as independent, dependent, predictors, criterion, etc.

Hypotheses & Hypothesis Testing, Step 1

This tutorial focuses on the definition of a hypothesis and the first step to hypothesis testing, writing the hypothesis.

Hypotheses & Hypothesis Testing, Steps 2 to 4

This tutorial focuses on the definition on steps 2 to 4 of  hypothesis testing and type I and II error.

Assumption Testing (Coming Soon!)

Confidence Intervals

This tutorial focuses on defining, calculating, and interpreting  confidence intervals. This tutorial also briefly reviews the concepts of the Sampling distribution of the sample mean and sampling error.

Effect Size

This tutorial focuses on defining, calculating, and interpreting  effect size

Statistical Power

This tutorial focuses on the power of a statistical procedure and how power is maximized.

Descriptive Statistics

Tutorials

Descriptive Statistics, Part 1

This tutorial focuses on the measures of central tendency and dispersion (or variability).

Descriptive Statistics, Part 2

This tutorial focuses on measures of position, including percentiles, quartiles, and standard scores (z-scores).

SPSS Tutorials

Descriptive Statistics SPSS Tutorial 

t-tests

Tutorials

Independent t Test Tutorial

This tutorial defines an independent t test , provides examples for when this analysis might be used by a researcher, walks through the process of conducting this analysis, and discusses how to set up an SPSS file and write an APA results section for this analysis.

One Sample and Paired Sample t Test Tutorial

This tutorial defines a one sample test and paired samples t test, provides examples for when this analyses might be used by a researcher, walks through the process of conducting these analyses, and discusses how to set up  SPSS files and write an APA results section for this analyses.

SPSS Tutorials

Independent t Test SPSS Tutorial

Paired Sample (Dependent)  t Test SPSS Tutorial

Correlation Techniques

Tutorials

Bivariate, Zero Order Correlation Tutorial

This tutorial defines a bivariate, zero order correlation, provides examples for when this analysis might be used by a researcher, walks through the process of conducting this analysis, and discusses how to set up an SPSS file and write an APA results section for this analysis.

Partial Correlation Tutorial

This tutorial defines a partial correlation, provides examples for when this analysis might be used by a researcher, walks through the process of conducting this analysis, and discusses how to set up an SPSS file and write an APA results section for this analysis.

Bivariate Linear Regression

This tutorial defines a bivariate linear regression, provides examples for when this analysis might be used by a researcher, walks through the process of conducting this analysis, and discusses how to set up an SPSS file and write an APA results section for this analysis.

SPSS Tutorials

Bivariate Correlation SPSS Tutorial

Partial Correlation SPSS Tutorial

Bivariate Linear Regression SPSS Tutorial (*** This tutorial is self-guided,so there is NO audio after the first slides.)

ANOVAs & MANOVAs

Tutorials

An ANOVA and MANOVA Overview Tutorial

This tutorial overviews ANOVAs and MANOVAs and discusses  when these analyses might be used by a researcher.

One-Way Analysis of Variance (ANOVA) Tutorial

This tutorial defines an one- way ANOVA, provides examples for when this analysis might be used by a researcher, walks through the process of conducting this analysis, and discusses how to set up an SPSS file and write an APA results section for this analysis.

Factorial Analysis of Variance (ANOVA) 

Multivariate Analysis of Variance

SPSS Tutorials

One-Way Analysis of SPSS Tutorial

Repeated Measures Analysis of Variance SPSS Tutorial

Wrapping Things Up

Tutorials

Choosing a Statistical Procedure

This tutorial walks through the steps of choosing a statistical procedure.


Tutorial References

The ideas, illustrations, definitions, and concepts within these tutorials draw from these resources

Campbell, D. & Stanley, J. (1963). Experimental and quasi-experimental designs for research. Chicago, IL: Rand-McNally.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.

Cox, T. (2010). PSY 355& 356 lectures.[PowerPoint slides]. Retrieved from Liberty University Blackboard: http://bb7.liberty.edu/

Green, S. B. & Salkind, N. J. (2008). Using SPSS for Windows and Macintosh: Analyzing and understanding data (5th Ed.). Upper Saddle River, NJ: Prentice Hall.

Pallant, J.(2007). SPSS survival manual (3rd Ed.). Australia: Allen & Unwin.

Rovai, A.; Baker, J.D; Ponton, M.K. (2013) Social science research design and statistics. Chesapeake, VA: Watertee Press

Tabachnick, B.G., & Fidell, L.S. (2007). Using multivariate statistics. Boston: Allyn and Bacon.

Warner, R. M. (2012). Applied statistics: From bivariate through multivariate techniques (2nd). Thousand Oaks, CA: Sage Publications.