Introduction to Structural Equation Modeling (Chapter 12 Lecture 1)

Hi there, and welcome! This lecture series corresponds to my textbook, Applied Statistics: Business and Management Research. You can purchase the textbook at:


Here is a full list of the lectures, all of which are free and open access on YouTube:

Introduction to the Quantitative Research Process (Chapter 1 Lecture 1): https://www.youtube.com/watch?v=jHHSioAPU2Q

Variables (Chapter 1 Lecture 2): https://www.youtube.com/watch?v=vrzNdx7CblQ

Survey Design, Administration, and Sampling (Chapter 1 Lecture 3): https://www.youtube.com/watch?v=4vUhstRKTH4

Getting Started with IBM SPSS (Chapter 2 Lecture 1): https://www.youtube.com/watch?v=LU7SEA9mw6g

Variable View, Data View, and the IBM SPSS Toolbar (Chapter 2 Lecture 2): https://www.youtube.com/watch?v=5cK5Ecaa1lo

Recoding and Transforming Variables in SPSS (Chapter 2 Lecture 3): https://www.youtube.com/watch?v=9Xaj_2DQLrY

Measures of Central Tendency: The Mean, Median, and Mode (Chapter 3 Lecture 1): https://www.youtube.com/watch?v=5TK-KVz0o-I

Measures of Dispersion: The Standard Deviation and Range (Chapter 3 Lecture 2): https://www.youtube.com/watch?v=1EhSvMU5oIE

Frequency Distributions, Histograms, Skewness, and Kurtosis (Chapter 3 Lecture 3): https://www.youtube.com/watch?v=WsY0Ks5uHB0

The Normal Curve (Chapter 4 Lecture 1): https://www.youtube.com/watch?v=mfRTdywKV4E

Z-scores, the Central Limit Theorem, and P-values (Chapter 4 Lecture 2): https://www.youtube.com/watch?v=p-Ykwt3HjTk

Standard Errors, Confidence Intervals, Type I and Type II Error, and Data Normalization (Chapter 4 Lecture 3): https://www.youtube.com/watch?v=RipfwcZlPCw

What is a t-test? (Chapter 5 Lecture 1): https://www.youtube.com/watch?v=GNVx5l6iBbI

Calculating and Interpreting an Independent Samples t-test (Chapter 5 Lecture 2): https://www.youtube.com/watch?v=1TW2763qgLE

What is an Analysis of Variance (ANOVA)? (Chapter 6 Lecture 1): https://www.youtube.com/watch?v=cXLqQ6cKbUo

Calculating and Interpreting the Analysis of Variance (ANOVA) (Chapter 6 Lecture 2): https://www.youtube.com/watch?v=ckXJ-UY1qME

The Chi-Square Test (Chapter 7 Lecture 1): https://www.youtube.com/watch?v=x0NlngHxiVA

Calculating and Interpreting the Chi-Square Test (Chapter 7 Lecture 2): https://www.youtube.com/watch?v=rQrSCzmlPRM

Simple Regression and Pearson’s r (Chapter 8 Lecture 1): https://www.youtube.com/watch?v=Y8ujVit7UW4

Calculating and Interpreting b and Pearson’s r (Chapter 8 Lecture 2): https://www.youtube.com/watch?v=kbNXii_LtXo

Multiple Regression (Part 1) (Chapter 9 Lecture 1): https://www.youtube.com/watch?v=i4vuYYPElgM

Multiple Regression (Part 2) (Chapter 9 Lecture 2): https://www.youtube.com/watch?v=QeZ6iyvGYGc

Multiple Regression (Part 3) (Chapter 9 Lecture 3): https://www.youtube.com/watch?v=94XafFKYeHo

Introduction to Logistic Regression (Chapter 10 Lecture 1): https://www.youtube.com/watch?v=Nu0S27sNBTs

Probabilities vs. Odds (Chapter 10 Lecture 2): https://www.youtube.com/watch?v=0dbSCqo_T1A

Interpreting Logistic Regression (Chapter 10 Lecture 3): https://www.youtube.com/watch?v=7GJPJP0WUo0

Introduction to Factor Analysis (Chapter 11 Lecture 1): https://www.youtube.com/watch?v=abbiVMKO1P4

Exploratory and Confirmatory Factor Analyses (Chapter 11 Lecture 2): https://www.youtube.com/watch?v=7Y_BS1DPrp8

Introduction to Structural Equation Modeling (Chapter 12 Lecture 1): https://www.youtube.com/watch?v=p6wBab3Cp30

Structural Equation Modeling in Practice (Chapter 12 Lecture 2): https://www.youtube.com/watch?v=MhGUijBypSU

I hope you enjoy this lecture series!

Professor Andrew R. Timming
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