SPSS Amos – Test Models, Hypothesis, Validity (and More)
SPSS Amos – Test Models, Hypothesis, Validity (and More), available at $39.99, has an average rating of 3.85, with 34 lectures, based on 63 reviews, and has 317 subscribers.
You will learn about Path Analysis Structural Equation Modeling Confirmatory Factor Analysis Construct Validity Convergent Validity Discriminant Validity Scale Reliability Psychometrics Psychological Assessment This course is ideal for individuals who are Researchers needing to use Amos to develop instruments and assess the fit of new (or existing) theoretical models. or People curious on how Amos can be used with their data analysis workflow (with at least some basic knowledge of concepts such as regression and correlation) It is particularly useful for Researchers needing to use Amos to develop instruments and assess the fit of new (or existing) theoretical models. or People curious on how Amos can be used with their data analysis workflow (with at least some basic knowledge of concepts such as regression and correlation).
Enroll now: SPSS Amos – Test Models, Hypothesis, Validity (and More)
Summary
Title: SPSS Amos – Test Models, Hypothesis, Validity (and More)
Price: $39.99
Average Rating: 3.85
Number of Lectures: 34
Number of Published Lectures: 34
Number of Curriculum Items: 34
Number of Published Curriculum Objects: 34
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Path Analysis
- Structural Equation Modeling
- Confirmatory Factor Analysis
- Construct Validity
- Convergent Validity
- Discriminant Validity
- Scale Reliability
- Psychometrics
- Psychological Assessment
Who Should Attend
- Researchers needing to use Amos to develop instruments and assess the fit of new (or existing) theoretical models.
- People curious on how Amos can be used with their data analysis workflow (with at least some basic knowledge of concepts such as regression and correlation)
Target Audiences
- Researchers needing to use Amos to develop instruments and assess the fit of new (or existing) theoretical models.
- People curious on how Amos can be used with their data analysis workflow (with at least some basic knowledge of concepts such as regression and correlation)
Do path analysis, test model fit, measure indirect effects, recognize and classify mediation types, recognize sources of bias in your estimates, perform confirmatory factor analysis, assess validity (construct, convergent and discriminant), combine path analysis with confirmatory factor analysis to build “full” structural equation models (that is path analysis with latent variables).
Course Curriculum
Chapter 1: Simple Path Analysis with Amos
Lecture 1: A Path Analysis Model
Lecture 2: About Model Fit
Lecture 3: Testing the Hypothesis
Lecture 4: Comparing with Basic SPSS Statistics
Lecture 5: Some Important Points
Lecture 6: Building a Diagram in Amos
Lecture 7: Reproducing Results with SPSS
Lecture 8: Measuring Model Fit
Chapter 2: Mediation Analysis with Amos
Lecture 1: Mediation Part I
Lecture 2: Mediation Part II
Lecture 3: Mediation Exercise 1
Lecture 4: Mediation Exercise 2
Chapter 3: Cautionary Notes on Path Analysis
Lecture 1: Cautionary Notes A
Lecture 2: Cautionary Notes B
Lecture 3: Cautionary Notes C
Chapter 4: Confirmatory Factor Analysis
Lecture 1: CFA – Part 01
Lecture 2: CFA – Part 02
Lecture 3: CFA – Part 03
Lecture 4: CFA – Part 04
Lecture 5: CFA Exercise 01 – Step 1
Lecture 6: CFA Exercise 01 – Step 2
Lecture 7: CFA Exercise 01 – Step 3
Lecture 8: CFA Exercise 02 – Complete
Lecture 9: CFA Exercise 03 – Step 1
Lecture 10: CFA Exercise 03 – Step 2
Lecture 11: CFA Exercise 03 – Step 3
Lecture 12: CFA Exercise 03 – Step 4
Lecture 13: CFA Exercise 03 – Step 5
Lecture 14: CFA Exercise 03 – Step 6
Lecture 15: CFA Exercise 03 – Step 7
Chapter 5: "Full SEM" Models
Lecture 1: Full SEM Models – Theory
Lecture 2: Full SEM Exercise – Step 1
Lecture 3: Full SEM Exercise – Step 2
Lecture 4: Full SEM Exercise – Step 3
Instructors
-
R Chandra, PhD
College Professor
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 3 votes
- 3 stars: 8 votes
- 4 stars: 20 votes
- 5 stars: 27 votes
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