The decision of how many factors to retain is a critical component of exploratory factor analysis. Evidence is presented that parallel analysis is one of the most accurate factor retention methods while also being one of the most underutilized in management and organizational research. Therefore, a step-by-step guide to performing parallel analysis is described, and an example is provided using data from the Minnesota Satisfaction Questionnaire. Recommendations for making factor retention decisions are discussed
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Determining the number of factors to extract is a critical decision in exploratory factor analysis. ...
The decision of how many factors to retain is a critical component of exploratory factor analysis. E...
parallel analysis as a factor retention criterion. See our 2004 paper in Organizational Research met...
parallel analysis as a factor retention criterion. See our 2004 paper in Organizational Research met...
When conducting an exploratory factor analysis, the decision regarding the number of factors to reta...
Parallel analysis (Horn, 1965) is the most accurate method to confirm the number of factors/ compone...
Parallel analysis (Horn, 1965) is the most accurate method to confirm the number of factors/ compone...
Parallel analysis (Horn, 1965) is the most accurate method to confirm the number of factors/ compone...
Determining the number of factors to extract is a critical decision in exploratory factor analysis. ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Determining the number of factors to extract is a critical decision in exploratory factor analysis. ...
The decision of how many factors to retain is a critical component of exploratory factor analysis. E...
parallel analysis as a factor retention criterion. See our 2004 paper in Organizational Research met...
parallel analysis as a factor retention criterion. See our 2004 paper in Organizational Research met...
When conducting an exploratory factor analysis, the decision regarding the number of factors to reta...
Parallel analysis (Horn, 1965) is the most accurate method to confirm the number of factors/ compone...
Parallel analysis (Horn, 1965) is the most accurate method to confirm the number of factors/ compone...
Parallel analysis (Horn, 1965) is the most accurate method to confirm the number of factors/ compone...
Determining the number of factors to extract is a critical decision in exploratory factor analysis. ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists ...
Determining the number of factors to extract is a critical decision in exploratory factor analysis. ...