Who are Effective Time Managers? Bivariate Correlation Analysis and Hypotheses Testing

Who are Effective Time Managers? Bivariate Correlation Analysis and Hypotheses Testing

Dezhi Wu (Southern Utah University, USA)
DOI: 10.4018/978-1-60566-776-8.ch009
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Abstract

This chapter presents the bivariate analysis results, and compares the differences between effective time managers and ineffective time managers on their temporal structure knowledge, usage, and relationship understanding. The hypotheses to compare effective time managers and ineffective time managers developed for this research are examined in this chapter.
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Bivariate Correlation Analysis For Student Sample

The normality test on the constructs for the student sample (see Table 18 of Chapter 8 in Appendix D) indicates that only temporal structure knowledge, sensing a lack of time control, creation of temporal structure, and perceived usefulness of time management tool are normally distributed. Therefore, Pearson correlation analysis was chosen for analyzing these four constructs. The rest of the constructs are not normally distributed, therefore Spearman’s R was chosen to conduct bivariate correlation analysis for these data sets.

Table 18.
Mann-Whitney U tests based upon “meeting deadlines” factor (faculty sample)
Dependent VariablesMeeting
Deadline
NMean RankMann-Whitney USignificance
Understanding of Implicit Temporal StructuresGroup 12829.75385.0000.730
Group 22928.28
Understanding of University-related Temporal Structure RelationshipsGroup 12730.93290.0000.180
Group 22825.18

** P < 0.01

Group 1 – effective time managers

Group 2 – ineffective time mangers

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