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CFA

The Four Models You Meet in Structural Equation Modeling

by guest contributer  5 Comments

A multiple regression model could be conceptualized using Structural Equation Model path diagrams. That’s the simplest SEM you can create, but its real power lies in expanding on that regression model.  Here I will discuss four types of structural equation models.

Path Analysis

More interesting research questions could be asked and answered using Path Analysis. Path Analysis is a type of structural equation modeling without latent variables. [Read more…] about The Four Models You Meet in Structural Equation Modeling

Tagged With: CFA, Confirmatory Factor Analysis, EFA, Latent Growth Curve Model, mediation, Path Analysis, SEM, Structural Equation Modeling

Related Posts

  • One of the Many Advantages to Running Confirmatory Factor Analysis with a Structural Equation Model
  • First Steps in Structural Equation Modeling: Confirmatory Factor Analysis
  • Member Training: Reporting Structural Equation Modeling Results
  • Three Myths and Truths About Model Fit in Confirmatory Factor Analysis

One of the Many Advantages to Running Confirmatory Factor Analysis with a Structural Equation Model

by Jeff Meyer  9 Comments

Based on questions I’ve been asked by clients, most analysts prefer using the factor analysis procedures in their general statistical software to run a confirmatory factor analysis.

While this can work in some situations, you’re losing out on some key information you’d get from a structural equation model. This article highlights one of these.

[Read more…] about One of the Many Advantages to Running Confirmatory Factor Analysis with a Structural Equation Model

Tagged With: CFA, Confirmatory Factor Analysis, Cronbach's alpha, eigenvalue, Factor Analysis, factor loadings, latent construct, Latent Growth Curve Model, latent variable, Model Fit, residuals, SEM, Structural Equation Modeling

Related Posts

  • First Steps in Structural Equation Modeling: Confirmatory Factor Analysis
  • Member Training: Reporting Structural Equation Modeling Results
  • The Four Models You Meet in Structural Equation Modeling
  • Three Myths and Truths About Model Fit in Confirmatory Factor Analysis

First Steps in Structural Equation Modeling: Confirmatory Factor Analysis

by Jeff Meyer  6 Comments

Confirmatory factor analysis (CFA) is the fundamental first step in running most types of SEM models. You want to do this first to verify the measurement quality of any and all latent constructs you’re using in your structural equation model.

[Read more…] about First Steps in Structural Equation Modeling: Confirmatory Factor Analysis

Tagged With: CFA, Confirmatory Factor Analysis, latent construct, Latent Growth Curve Model, latent variable, SEM, Structural Equation Modeling

Related Posts

  • One of the Many Advantages to Running Confirmatory Factor Analysis with a Structural Equation Model
  • The Four Models You Meet in Structural Equation Modeling
  • Member Training: Reporting Structural Equation Modeling Results
  • Three Myths and Truths About Model Fit in Confirmatory Factor Analysis

Member Training: Reporting Structural Equation Modeling Results

by Jeff Meyer 

The last, and sometimes hardest, step for running any statistical model is writing up results.

As with most other steps, this one is a bit more complicated for structural equation models than it is for simpler models like linear regression.

Any good statistical report includes enough information that someone else could replicate your results with your data.

[Read more…] about Member Training: Reporting Structural Equation Modeling Results

Tagged With: CFA, discriminant analysis, error term, factor loadings, Intercept, Latent Growth Curve Model, mean, mediation, parameter estimates, principal component analysis, reliability, reporting, SEM, Structural Equation Modeling

Related Posts

  • One of the Many Advantages to Running Confirmatory Factor Analysis with a Structural Equation Model
  • First Steps in Structural Equation Modeling: Confirmatory Factor Analysis
  • The Four Models You Meet in Structural Equation Modeling
  • Member Training: Latent Growth Curve Models

Confirmatory Factor Analysis: How To Measure Something We Cannot Observe or Measure Directly

by guest contributer  Leave a Comment

by Christos Giannoulis, PhD

Many times in science we are intrigued to measure an underlying characteristic that cannot be observed or measured directly. This measure is hypothesized to exist to explain variables, such as behavior, that can be observed.

The measurable variables are called manifest variables. The unmeasurable are called latent variables.

Latent variables are often called factors, especially in the context of factor analysis.

[Read more…] about Confirmatory Factor Analysis: How To Measure Something We Cannot Observe or Measure Directly

Tagged With: CFA, Confirmatory Factor Analysis, EFA, Error, Exploratory Factor Analysis, latent variable, manifest variable, measurement, random error, True Score

Related Posts

  • One of the Many Advantages to Running Confirmatory Factor Analysis with a Structural Equation Model
  • First Steps in Structural Equation Modeling: Confirmatory Factor Analysis
  • The Four Models You Meet in Structural Equation Modeling
  • Correlated Errors in Confirmatory Factor Analysis

Three Myths and Truths About Model Fit in Confirmatory Factor Analysis

by guest contributer  1 Comment

by Christos Giannoulis, PhD

We mentioned before that we use Confirmatory Factor Analysis to evaluate whether the relationships among the variables are adequately represented by the hypothesized factor structure. The factor structure (relationships between factors and variables) can be based on theoretical justification or previous findings.

Once we estimate the relationship indicators of those factors, the next task is to determine the extent to which these structure specifications are consistent with the data. The main question we are trying to answer is:

[Read more…] about Three Myths and Truths About Model Fit in Confirmatory Factor Analysis

Tagged With: CFA, Confirmatory Factor Analysis, factor structure, fit statistics, Model Fit, SEM, Structural Equation Modeling

Related Posts

  • One of the Many Advantages to Running Confirmatory Factor Analysis with a Structural Equation Model
  • First Steps in Structural Equation Modeling: Confirmatory Factor Analysis
  • The Four Models You Meet in Structural Equation Modeling
  • Correlated Errors in Confirmatory Factor Analysis

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