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EQUALITY GUIdE - KU Leuven

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Chapter 1 ! Personnel development and organisational culture 39<br />

3.6.1. Personnel survey<br />

The respondents consisted of 48.1% women and 51.9% men. The age frequencies<br />

were almost equally distributed between 25 and 50 years. First, the survey was analysed<br />

on comprehensibility by examining missing data and ‘I don’t know what this<br />

means’ answers. There were no items that strikingly came out as unanswered or as<br />

missing. A principal axis factoring (one specific way of doing factor analysis) was then<br />

conducted on the six subparts on organizational climate. Principal axis factoring was<br />

preferred over the commonly used principal components as an extraction method<br />

because the latter does not discriminate between shared and unique variance. Principal<br />

axis factoring can identify the variables that contribute to the shared variance in a set of<br />

measured variables, which is what is needed in identifying underlying structures. Also,<br />

the principal factor method does not have distributional assumptions (meaning the<br />

data do not have to follow a normal distribution) 63 . During the analysis, variables that<br />

did not meet the criteria of sampling adequacy and variables that had a low-shared<br />

variance were excluded. Variables with factor loadings $ 0.4 after rotation were chosen.<br />

After the factor analysis, an item analysis (reliability analysis) was conducted on<br />

the factors. The analyses were performed using SPSS 14.0 64 .<br />

Table 2 summarizes the high loading variables on the five factors generated by the<br />

factor analysis and the Cronbach " from the reliability analysis. An " of 0.8 shows<br />

good reliability 65 .<br />

Table 2: Summarizes the high loading variables on the five factors generated by the factor<br />

analysis and the Cronbach " from the reliability analysis (personnel survey)<br />

Factor names and high loading variables<br />

Cronbach " and<br />

factor loadings<br />

Factor 1: Relationships with colleagues " = 0.888<br />

Colleagues help each other with performing tasks. 0.756<br />

People are on good terms with each other. 0.739<br />

Colleagues are prepared to give each other help or advice. 0.689<br />

The relationship with my colleagues is good. 0.661<br />

There’s a feeling of solidarity. 0.637<br />

There’s a pleasant working atmosphere. 0.546<br />

Emphasis on good interactions with colleagues. 0.504<br />

Emphasis on getting individual results.<br />

&0.498<br />

I’m invited to join informal activities organized by colleagues. 0.410<br />

63<br />

64<br />

65<br />

Costello & Osborne (2005). ‘Best practices in Exploratory Factor Analysis: Four Recommendations for<br />

Getting the Most From Your Analysis’. In: Practical Assessment Research & Evaluation, Vol. 10, 7.<br />

SPSS, 14.0.<br />

Field, A. (2005). Discovering Statistics Using SPSS. Sage publications, 2 nd edition, 777 p.

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