Z-scores, the Central Limit Theorem, and P-values (Chapter 4 Lecture 2)

Introduction to Structural Equation Modeling (Chapter 12 Lecture 1)Подробнее

Exploratory and Confirmatory Factor Analyses (Chapter 11 Lecture 2)Подробнее

Introduction to Factor Analysis (Chapter 11 Lecture 1)Подробнее

Interpreting Logistic Regression (Chapter 10 Lecture 3)Подробнее

Probabilities vs. Odds (Chapter 10 Lecture 2)Подробнее

Multiple Regression (Part 2) (Chapter 9 Lecture 2)Подробнее

Calculating and Interpreting b and Pearson's r (Chapter 8 Lecture 2)Подробнее

Simple Regression and Pearson's r (Chapter 8 Lecture 1)Подробнее

Calculating and Interpreting the Chi-Square Test (Chapter 7 Lecture 2)Подробнее

The Chi-Square Test (Chapter 7 Lecture 1)Подробнее

What is an Analysis of Variance? (Chapter 6 Lecture 1)Подробнее

What is a t-test? (Chapter 5 Lecture 1)Подробнее

Standard Errors, Confidence Intervals, Type I and Type II Errors, and Data Normalization (Ch 4 Le 3)Подробнее

The Normal Curve (Chapter 4 Lecture 1)Подробнее

Frequency Distributions, Histograms, Skewness, and Kurtosis (Chapter 3 Lecture 3)Подробнее

Measures of Dispersion: The Standard Deviation and Range (Chapter 3 Lecture 2)Подробнее

Measures of Central Tendency: The Mean, Median, and Mode (Chapter 3 Lecture 1)Подробнее

Recoding and Transforming Variables in SPSS (Chapter 2 Lecture 3)Подробнее

Variable View, Data View, and the IBM SPSS Toolbar (Chapter 2 Lecture 2)Подробнее