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Cronbach's alpha

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

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Life After Exploratory Factor Analysis: Estimating Internal Consistency

by guest contributer  2 Comments

by Christos Giannoulis, PhD

After you are done with the odyssey of exploratory factor analysis (aka a reliable and valid instrument)…you may find yourself at the beginning of a journey rather than the ending.

The process of performing exploratory factor analysis usually seeks to answer whether a given set of items form a coherent factor (or often several factors). If you decide on the number and type of factors, the next step is to evaluate how well those factors are measured.

[Read more…] about Life After Exploratory Factor Analysis: Estimating Internal Consistency

Tagged With: Coefficient alpha, Cronbach's alpha, Exploratory Factor Analysis, Factor Analysis, latent variable, reliability, scale reliability

Related Posts

  • One of the Many Advantages to Running Confirmatory Factor Analysis with a Structural Equation Model
  • The Fundamental Difference Between Principal Component Analysis and Factor Analysis
  • Computing Cronbach’s Alpha in SPSS with Missing Data
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Computing Cronbach’s Alpha in SPSS with Missing Data

by Karen Grace-Martin  17 Comments

I recently received this question:

I have scale which I want to run Chronbach’s alpha on.  One response category for all items is ‘not applicable’. I want to run  Chronbach’s alpha requiring that at least 50% of the items must be answered for the scale to be defined.  Where this is the case then I want all missing values on that scale replaced by the average of the non-missing items on that scale. Is this reasonable? How would I do this in SPSS?

My Answer:

In RELIABILITY, the SPSS command for running a Cronbach’s alpha, the only options for Missing Data [Read more…] about Computing Cronbach’s Alpha in SPSS with Missing Data

Tagged With: Cronbach's alpha, Imputation, Missing Data, scale reliability, SPSS

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  • Multiple Imputation in a Nutshell
  • Life After Exploratory Factor Analysis: Estimating Internal Consistency
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  • An Easy Way to Reverse Code Scale items

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