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RESULTS

Data Analysis

The quantitative analysis began by coding and entering the data collected from the questionnaires into SPSS 18.0. The data was then cleaned and examined more closely in order to ascertain the distributional properties of the data; and was assessed for missing values, outliers and normality of the distribution. As stated by Hair, Black, Babin, and Anderson (2010), it is important to establish the normality of the dataset even when using partial least squares structural equation modeling. The data was found to be largely non-normal, which is common in organizational research.

Descriptive Statistics

As we can see in Table 2, Organization 1 shows a quite high level of job satisfaction (4.835) but only an average level of affective commitment (3.79).6 Moreover, intention to leave (4.05) is at the mid-range or average level of the scale. In terms of OEI, Organization 1 performs just above average (3.217) with slightly higher scores for Interpersonal Sensitivity (3.428), Conscientiousness (3.389), Intuitiveness (3.3510), and Emotional Resilience (3.2911); but lower scores for Self-Awareness (3.1612) and Motivation (3.0813) and a noticeably low score for Influence (2.7714).

Table 2. Descriptive Statistics.

Constructs

N

Minimum

Maximum

Mean

Std. Deviation

Self-Awareness

174

1.00

4.67

3.16

0.76

Emotional Resilience

173

1.00

5.00

3.29

0.67

Motivation

174

1.00

5.00

3.08

0.74

Interpersonal Sensitivity

174

1.00

5.00

3.42

0.61

Influence

174

1.00

5.00

2.77

0.77

Intuition

174

1.00

4.67

3.35

0.69

Conscientiousness

174

1.00

5.00

3.38

0.74

OEI

174

1.00

4.86

3.21

0.58

Affective Commitment

174

1.67

5.67

3.79

0.55

Job Satisfaction

173

1.00

7.00

4.83

1.69

Intention to Leave

173

1.00

7.00

4.05

1.90

Valid N (listwise)

173

 
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