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• W149282564 startingPage "280" @default.
• W149282564 abstract "Although validity evidence in its many forms (e.g., content, construct, criterion-related) is an admittedly large part of the psychometric pie, is also a critical piece (Nunnally and Bernstein, 1994). As stated by many psychometricians, A test may be without being valid, but it cannot be valid without being reliable (e.g., Aiken and Groth-Marnat, 2006: 97). Therefore, is a necessary condition for validity. There is widespread acknowledgement (Gronlund and Linn, 1990; Henson, 2001; Thompson, 1994; Vacha-Haase, 1998) that is actually a feature of the scores obtained in a specific sample from the use of an instrument, and not a feature of the instrument itself. Specifically, values (such as Cronbach's alpha) obtained using the same instrument may vary from sample to sample. In fact, the APA Task Force on Statistical Inference declared that reliability is a property of the scores on a test for a particular [italics added] population of examinees (Wilkinson and APA Task Force on Statistical Inference, 1999: 596). Since researchers have come to realize that perfect is only a handy fiction (Nunnally, 1967: 218), a certain amount of measurement error is expected in the social and behavioral sciences. However, poor can result in attenuated construct relationships, such as the zero correlation described by Reinhardt (1996) for scores that are perfectly unreliable on at least one variable. Other detrimental effects of poor of scores include reduced statistical power (Onwuegbuzie and Daniel, 2004). Because is such a central issue in empirical research (e.g., Nunnally and Bernstein, 1994), many (e.g., Henson and Thompson, 2002; Vacha-Haase, 1998; Vacha-Haase et al., 2002) have argued for an increased focus on the topic of in the form of generalization (RG) studies. The purposes of this study were, first and foremost, to demonstrate the technique of generalization so that other management researchers might use it, and secondly to provide researchers investigating perceptions of organizational politics with information that allows them to understand: (1) the typical of scores on the Perceptions of Organizational Politics Scale (POPS) so they can place their own measures in context, (2) the amount of variability in coefficients so they can understand the robustness of estimates, and (3) the sample and/or test elements that systematically contribute to variations in so they can understand how generalizable measures of political perceptions are across diverse samples. Politics are sometimes described as dysfunctional aspects of organization life whereby employees compete for scarce resources usually at the expense of each other (Kacmar and Baron, 1999). The perception of organization-level politics implies that organizational members view life in the organization as tainted by behavior rooted in self-interest (Ferris et al., 1989). Thus, the measurement of phenomena like politics in the workplace is of potential value to organizational intervention efforts and organizational development. To accomplish these goals, this study examines factors affecting variance in score across studies that employ measures of perceptions of organizational politics, using generalization, a meta-analytic framework described by Henson and Thompson (2002), Vacha-Haase (1998), and Vacha-Haase et al. (2002). RELIABILITY GENERALIZATION Reliability generalization as an analytic tool was first described by Kennedy and Turnage (1991) as an extension of validity generalization (Hunter and Schmidt, 1990; Schmidt and Hunter, 1977; Schmidt et al., 1985). However, the technical sophistication of generalization was greatly expanded upon by Vacha-Haase (1998) as she described generalization as an analytic method of characterizing mean measurement error variance and the sources of variability in scores. …" @default.
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• W149282564 date "2009-06-22" @default.
• W149282564 modified "2023-09-24" @default.
• W149282564 title "Perceptions of Organizational Politics: A Demonstration of the Reliability Generalization Technique" @default.
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