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Research Paper | Social Science | Nigeria | Volume 7 Issue 1, January 2018
Models-based Organizational Effectiveness Scale: Development and Validation
Nwanzu Chiyem L., Uhiara Anayo C.
Abstract: This study was on development and validation of models-based organizational effectiveness scale. On the basis of inclusive characteristics, four models of organizational effectiveness were adopted and combined to produce the scale. The models are goal attainment, system resources, internal processes and stakeholder. Fifteen items for each of the models were generated from extensive review of the literature. However, after subject-experts review, 40 items were subjected to factor analysis. Exploratory factor analysis (varimax) on the 40 items, using 244 participants from public, private, manufacturing and service organizations resulted in 10 factors with eigen value 1 and above. And Scree plot of the items showed 1 factor. The Scree plot result was adopted in the study because the 1 factor accounted for 35.33 % of the total variance. The scale showed satisfactory psychometric properties. With a sample of 20 participants, the following coefficients for reliability and validity were observed on the entire scale. Test-retest reliability.73, alternate form reliability,.94, cronbach alpha reliability,.96, split-half reliability (correlation between forms,.78, spearman-Brown coefficient,.88, Guttman split-half coefficient,.86), convergent validity,.89, discriminant validity, -.13 with perception of organizational politics,.32 with organizational stress, and -.23 with turnover intention. The adopted model also showed satisfactory relationship between each other. The specific and inclusive characteristics of the scale make it a very useful tool for both research and practice
Keywords: Organizational effectiveness, psychometric properties, scale development,
Edition: Volume 7 Issue 1, January 2018,
Pages: 21 - 29
How to Cite this Article?
Nwanzu Chiyem L., Uhiara Anayo C., "Models-based Organizational Effectiveness Scale: Development and Validation", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=27121704, Volume 7 Issue 1, January 2018, 21 - 29
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