Confirmatory Factor Analysis with SPSS Amos

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Luís Cunha, PhD

2:39:05

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1. Confirmatory Factor Analysis

1. CFA - Part 01 Beyond Path Analysis.mp4

04:02

2. CFA - Part 02 Measurment Model for a Construct.mp4

03:36

3. CFA - Part 03 - Relations between PA, CFA and SEM.mp4

03:24

4.1 AVE CR MSV ASV Calculators.zip

4.2 CFA Write-up Example.pdf

4.3 Path Analysis Write-up Example.pdf

4. CFA - Part 04 Measures of Construct Validity.mp4

05:40

2. Exercise 1 on CFA

1.1 CFA Exercise 01.zip

1. CFA Exercise 01 - Step 1.mp4

07:18

2.1 CFA Exercise 01.zip

2. CFA Exercise 01 - Step 2.mp4

03:27

3.1 CFA Exercise 01.zip

3.2 CFA Write-up Example.pdf

3. CFA Exercise 01 - Step 3.mp4

06:38

3. Exercise 2 on CFA

1.1 CFA Exercise 02.zip

1.2 CFA Write-up Example.pdf

1. CFA Exercise 02 - Complete.mp4

06:02

4. Exercise 3 on CFA

1.1 CFA Exercise 03.zip

1. CFA Exercise 03 - Step 1.mp4

03:54

2.1 CFA Exercise 03.zip

2. CFA Exercise 03 - Step 2.mp4

04:43

3.1 CFA Exercise 03.zip

3. CFA Exercise 03 - Step 3.mp4

14:22

4.1 CFA Exercise 03.zip

4. CFA Exercise 03 - Step 4.mp4

04:49

5.1 CFA Exercise 03.zip

5. CFA Exercise 03 - Step 5.mp4

04:04

6.1 CFA Exercise 03.zip

6. CFA Exercise 03 - Step 6.mp4

08:05

7.1 CFA Exercise 03.zip

7.2 CFA Write-up Example.pdf

7. CFA Exercise 03 - Step 7.mp4

11:12

5. Supplementary Materials Path Analysis

1. PA Part 01 - A Path Analysis Model.mp4

04:00

2. PA Part 02 - About Model Fit.mp4

04:20

3. PA Part 03 - Testing the Hypothesis.mp4

03:45

4.1 CFA Write-up Example.pdf

4.2 Path Analysis Write-up Example.pdf

4. PA Part 04 - Comparing with Basic SPSS.mp4

02:58

6. Section 6 Supplementary Materials Mediation Analysis

1.1 Mediation Exercises - New.zip

1. Mediation - Part 1.mp4

04:10

2. Mediation - Part 2.mp4

04:41

3.1 Mediation Exercises - New.zip

3.2 tpb spss data.zip

3. Mediation - Exercises 1.mp4

08:40

4.1 Mediation Exercises - New.zip

4. Mediation - Exercises 2.mp4

07:59

7. Section 7 Full SEM Models

1. Lecture 24 Full SEM.mp4

04:23

2. Full SEM - Exercise Step 0.mp4

04:16

3.1 Step 0 Simple Path Analysis Model.zip

3.2 Step 1 CFA Model.zip

3. Full SEM - Exercise Step 1.mp4

06:34

4.1 Step 2 Full Sem Model.zip

4. Full SEM Exercise - Step 2.mp4

12:03

Description

How to Obtain Reliable and Valid Measures from Scales and Questionnaires

What You'll Learn?

Confirmatory Factor Analysis
Path Analysis
Amos
Mediation Analysis
Structural Equation Models
SEM

Who is this for?

Researchers and students from all areas of study for which statistics and assessment instruments play an important role.

What You Need to Know?

There are no prerequisites for this course.

You should have a valid Amos license (or download the trial version, available from IBM for a 30-day time limit)

More details

Description
In this course you will learn how to develop valid and reliable instruments to collect data.
You will learn how to measure item reliability in the context of confirmatory factor analysis.
You will be able to assess the validity of your constructs (by measuring convergent and discriminant validities).
The course contains very detailed exercises, that are solved step by step, so that you can understand how to apply each step to your own models.
Who this course is for:
Researchers and students from all areas of study for which statistics and assessment instruments play an important role.

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I did undergraduate and postgraduate studies both in Psychology and in Computer Science.I taught Psychology / Neuropsychology courses at University for many years, and I got the level of Advanced Specialist in Neuropsychology by OPP (the official entity that regulates psychologists in Portugal)Afterwards, I graduated in Computer Science and I did a PhD in Information Science, in which I had to apply structural equation modelling (using software such as Amos and R).Today, I teach Object Oriented Programming, System Analysis, Software Engineering, Interface Design, and Multivariate Statistics.My main area of work is Applied Statistics, Research Methods, and Machine Learning (with a particular focus on Neural Networks / Deep Learning).

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