Jason T. Newsom PhD

Professor, Department of Psychology, Portland State University

Main Page Current Courses Univariate Quant Multivariate Quant Categorical Data Analysis Structural Equation Modeling Multilevel Regression Psychological Measurement Adult Development and Aging Past Courses Stats Notes Resources SEM References SEM Books Other LSEM Book LDA Book Department of Psychology

Psy 521/621 Univariate Quantitative Methods

Syllabus Readings Homework Homework Articles Review Sheet for Exam 2 Data Sets Lab Website Handouts & Overheads SPSS Access at PSU Overhead: Examples of Distributions and Descriptive Graphs Overhead: Coffee Grind Distribution The Normal Distribution and z-scores Descriptive Statistics: SPSS and R Examples Outlier and Sample Size Illustration Overhead: Sampling Distribution Cutoffs and t-Distribution t-Test Example: Hand Computation, SPSS, and R Some General and Scientific Writing Suggestions Overhead: Independent-Groups t-Test Figures Overhead: Effects of Combining Data Sets Correlated Scores t Test Example: Hand Computation, SPSS, and R Levels of Measurement and Choosing the Correct Statistical Test Single-Group Statistical Tests with a Binary Dependent Variable: Hand Computations, SPSS, and R Examples 2 X 2 Contingency Chi-square: Hand Computations, SPSS, and R Examples Chi-square for Within-subjects: McNemar’s Test Overhead: Binomial Distribution Figures Overhead: Scatterplot Examples Correlation Example: Hand Computations, SPSS, and R Regression Example: Hand Computations, SPSS, and R Reliability Overhead: Reliability Figures Reliability Analysis Example: SPSS and R Overhead: Correlation limitations t Tests, Chi-squares, Phi, Correlations: It’s all the same stuff One-Way ANOVA ANOVA Example: SPSS and R Post Hoc Tests Post Hoc Test Example: SPSS and R Planned Contrasts with SPSS and R Examples Overhead: Eyewitness Factorial Design Example Main Effect and Interaction Graphs Factorial ANOVA Example: SPSS and R Simple Effects Test Following a Significant Interaction Simple Effects, Simple Contrasts, and Main Effect Contrasts (optional) Within-Subjects ANOVA & Example: Hand Computations, SPSS, and R Some Comments and Definitions Related to the Assumptions of Within-subjects ANOVA Follow-Up Analyses for Within-Subjects ANOVA Factorial ANOVA for Mixed Designs Factorial ANOVA for Mixed Designs Example: SPSS and R Precautions with Within-Subjects Experimental Designs Missing Data Overhead: Listwise Deletion and Imputation Bias Comparisons Common Ordinal Analyses: Loglinear Models and Measures of Association Overhead: Illustration of the Equivalence of Loglinear and Chi-Square Models for Two Binary Variables: SPSS Ordinal Examples: SPSS and R Nonparametric Statistics Overhead: Summary of SPSS Nonparametric Tests Power Replication Crisis and Critiques of Significance Testing: Some Suggested Readings Links SPSS Overview at University South Australia UCLA Statistical Computing Site on SPSS Syntax UCLA Statistical Computing Site on using SPSS Brief Design Overview William Trochim's Outstanding Research Methods Knowledge Base APA 7th Edition Sample Manuscripts Statistics on the Web Gateway MacTutor History of Mathematics and Statistics Installing R on Your Computer Installing RStudio (install R first) Quick RStudio Introduction RStudio Video Introduction Central Limit Theorem Demo Interactive Statistical Demonstrations Galton Board Illustration Video