Conspicuous Employment by Benjamin Berghaus

Author:Benjamin Berghaus
Language: eng
Format: epub
ISBN: 9783030377014
Publisher: Springer International Publishing

3.2.6.2 Results

The results of this study build on each other, combining an exploratory factor analysis with statistical analysis of the goodness of fit for the construct’s model with the data gathered. Finally, group comparisons are carried out to evaluate the degree to which known subgroups can be discerned by the model and data provided.

Exploratory factor analysis

Testing for applicability of factor analysis through evaluating the Kaiser-Meyer-Olkin-Criterion yielded a good result of overall MSA of 0.85 and no items with a lower MSA than 0.79 (PEP_HED3). This constitutes no substantial change in comparison to the pilot study. Investigating the number of factors extractable from the data, three approaches were investigated: first, parallel analysis suggests that the number of factors are 5 and the number of components is 4; second, the Kaiser-Harris-Criterion suggests to extract five-factors; third, the analysis of the scree plot shows two distinct ‘elbows’ with one inflection point suggesting two factors and the second suggesting five-factors, see Fig. A.10 on Sect. A.6.3.1. This initial result provided further support for the structural concept of the data suggesting two groups of five-factors. This constitutes a better fit between the data and the theorised model after revising the scale in comparison to the pilot study. Exploratory factor analysis was calculated for 1, 2, and 5 factors with results presented in Table 3.7. Based on the variances explained, the five-factor-model appears, as theorised, the most appropriate model to investigate as it provides a greater increase in variance explained when adding the fifth factor (5% point gain) and adding a further sixth factor increases the variance explained to a lesser degree (2% point gain), indicating a decreasing statistical effectiveness to describe the data. The increasing cumulative variance explained suggest a greater fit between the revised scale and the generated data.Table 3.7Revision study: variance explained in factor extractions by model

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