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By Hannah O. Price

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Interested readers are referred to these studies for details about these two criteria. However, as detailed later in this section, regardless of which decision rules are used in EFA/PCA for factor retention, both are exploratory or descriptive in nature, and neither can conclusively establish factorial validity. As Thatcher and Goolam (2005) acknowledged, validity is only ―partially established‖ using exploratory factor analysis (p. 805). It is thus essential to use analytic techniques that are confirmatory in nature.

And Woolard, J. (2008). Age differences in sensation seeking and impulsivity as indexed by behavior and self-report: Evidence for a dual systems model. Developmental Psychology, 44, 1764-1778. , and Gross, E. (2001). The impact of\ computer use on children‘s and adolescents‘ development. Journal of Applied Developmental Psychology, 22, 7-30. Suler, J. R. (1999). To get what you need: healthy and pathological Internet use. CyberPsychology and Behavior, 2(5), 355-393. Suler, J. (2004). Computer and cyberspace addiction.

In the context of EFA/PCA, weak discriminant validity is often a result of overfactoring. For example, when measurement items that underlie the same latent factor, Z, are treated as tapping separate factors, Z1 and Z2, the domains of Z1 and Z2 will have 36 Ronnie Jia and Heather H. Jia considerable overlap, leading to high inter-factor correlation and low discriminant validity between the two. However, inter-factor correlations may not always be high enough to threaten discriminant validity as gauged by prevailing statistical guidelines.

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