Quantitative methodologies in human resource management /

This case study is a discussion of how non-experimental, quantitative research methodologies were used in a human resource management study. Quantitative research involves measurable, objective subject matter and can demonstrate the significance one subject may have with another. During the institut...

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Bibliographic Details
Main Author: Frost, Catherine M. (Author)
Format: eBook
Language:English
Published: London : SAGE Publications Ltd, 2019.
Series:SAGE Research Methods. Cases.
Subjects:
Online Access:Connect to the full text of this electronic book

MARC

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520 8 |a This case study is a discussion of how non-experimental, quantitative research methodologies were used in a human resource management study. Quantitative research involves measurable, objective subject matter and can demonstrate the significance one subject may have with another. During the institutional review board application process, a problem statement was developed, a literature review was completed, hypotheses were written, questionnaires were selected, and the survey approach was selected (electronic questionnaire through email and a link to Survey Monkey). The population under analysis was the Central Iowa Society of Human Resource Managers. There was an indication of greater generalization because the Society of Human Resource Managers is a national organization. The variables tested were organization policies (independent variable) and the relationship those policies have on employee job satisfaction (dependent variable) and the employee job stress level (dependent variable). Herzberg's Two-Factor Theory was the framework selected for employee satisfaction determinations, using the Minnesota Satisfaction Questionnaire short form. Policies and job stress surveys were also located during the literature review and combined with the Minnesota Satisfaction Questionnaire for one overall survey. The statistical reports of the original study show multiple regressions, descriptive statistics, tests of normality, and correlation coefficients. From a case study standpoint, the researcher gained experience in completing a study using data generated by questionnaires and interpreting the statistical reports provided. 
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