Social Science

1502 Submissions

[2] viXra:1502.0237 [pdf] submitted on 2015-02-26 21:13:20

How Change Happens: a Theory of Philosophy of History, Social Change and Cultural Evolution

Authors: Rochelle Forrester
Comments: 143 Pages.

How Change Happens puts the study of social and cultural history and social change and cultural evolution on a scientific basis capable of rational analysis and understanding. It shows how social and cultural change happens and explains the sequence of events in social and cultural history. It shows how social and cultural history followed a necessary path that can be analysed and rationally understood and explained. Most books on history describe how one thing followed another. How Change Happens describes why one thing followed another.
Category: Social Science

[1] viXra:1502.0226 [pdf] submitted on 2015-02-25 12:56:18

The Issue of Statistical Power for Overall Model Fit in Evaluating Structural Equation Models: Examples from Industrial-Organizational Psychology Research

Authors: Richard Hermida, Joseph N. Luchman, Vias Nicolaides, Cristina Wilcox
Comments: 52 Pages.

Statistical power is an important concept for psychological research. However, examining the power of a structural equation model (SEM) is rare in practice. This article provides an accessible review of the concept of statistical power for the Root Mean Square Error of Approximation (RMSEA) index of overall model fit in structural equation modeling. By way of example, we examine the current state of power in the literature by reviewing studies in top Industrial-Organizational (I/O) Psychology journals using SEMs. Results indicate that in many studies, power is very low, which implies acceptance of invalid models. Additionally, we examined methodological situations which may have an influence on statistical power of SEMs. Results showed that power varies significantly as a function of model type and whether or not the model is the main model for the study. Finally, results indicated that power is significantly related to model fit statistics used in evaluating SEMs. The results from this quantitative review imply that researchers should be more vigilant with respect to power in structural equation modeling. We therefore conclude by offering methodological best practices to increase confidence in the interpretation of structural equation modeling results with respect to statistical power issues.
Category: Social Science