A Non-Parametric Analysis of the HRM Data.

Abstract

This thesis provides a statistical analysis of historical HRM data in an attempt to determine if significant positive trends exist. Non-parametric statistical techniques using rank-ordering concepts were used for the analysis. Analysis failed to show the trends predicted by the literature on survey-guided development. No significant overall trends were detected by any of the statistical tests used. A conclusion that no significant changes have occurred in Navy attitudes as the result of efforts by the HRMSS was considered suspect. The authors discussed the possible explanations for the discrepency between the conceptual prediction and the observed results. In conclusion, the analysis was not able to reject the null hypothesis. Possible areas of future research are presented for consideration by interested parties. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1978
Accession Number
ADA057290

Entities

People

  • Lawrence L. Yeatman
  • William L. Carter

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Attrition
  • California
  • Data Analysis
  • Data Science
  • Human Resources
  • Information Science
  • Measurement
  • Measuring Instruments
  • Navy
  • Regression Analysis
  • Resource Management
  • Statistical Analysis
  • Statistical Tests
  • Surveys
  • Training
  • United States

Readers

  • Gender and Food Studies
  • Regression Analysis.
  • Systems Analysis and Design