Mary Roznowski

Bio: Mary Roznowski is an academic researcher from Ohio State University. The author has contributed to research in topics: Job satisfaction & Goodness of fit. The author has an hindex of 14, co-authored 16 publications receiving 3047 citations.

Model modifications in covariance structure analysis: the problem of capitalization on chance.

Abstract: In applications of covariance structure modeling in which an initial model does not fit sample data well, it has become common practice to modify that model to improve its fit. Because this process is data driven, it is inherently susceptible to capitalization on chance characteristics of the data, thus raising the question of whether model modifications generalize to other samples or to the population. This issue is discussed in detail and is explored empirically through sampling studies using 2 large sets of data. Results demonstrate that over repeated samples, model modifications may be very inconsistent and cross-validation results may behave erratically. These findings lead to skepticism about generalizability of models resulting from data-driven modifications of an initial model. The use of alternative a priori models is recommended as a preferred strategy.

Alternative opportunities and withdrawal decisions: Empirical and theoretical discrepancies and an integration.

Abstract: Trois explications sont proposees pour rendre compte du desaccord existant entre les explications de type macroeconomique ou individuel de l'acte de quitter une entreprise

Examination of the measurement properties of the job descriptive index with experimental items

Abstract: The psychometric properties of the Job Descriptive Index (JDI; Smith, Kendall, & Hulin, 1969), supplemented by a pool of experimental items, was examined. Significant improvements in the measurement properties of the JDI scales were obtained. Results are discussed in the framework of the need for frequent updating of psychological measures and the unending process of test construction and validation

Alternative Strategies for Cross-Validation of Covariance Structure Models

Abstract: Alternative strategies for two-sample cross-validation of covariance structure models are described and investigated. The strategies vary according to whether all (tight strategy) or some (partial strategy) of the model parameters are held constant when a calibration sample solution is re-fit to a validation sample covariance matrix. Justification is provided for three partial strategies. Conventional and alternative strategies for cross-validation are discussed as methods for evaluating overall discrepancy of a model fit to a particular sample, where overall discrepancy arises from the combined influences of discrepancy of approximation and discrepancy of estimation (Cudeck & Henly, 1991). Results of a sampling study using empirical data show that for tighter strategies simpler models are preferred in smaller samples. However, when partial cross-validation is employed, a more complex model may be supported even in a small sample. Implications for model comparison and evaluation, as well as the issues of model complexity and sample size are discussed.

Power analysis and determination of sample size for covariance structure modeling.

Abstract: A framework for hypothesis testing and power analysis in the assessment of fit of covariance structure models is presented. We emphasize the value of confidence intervals for fit indices, and we stress the relationship of confidence intervals to a framework for hypothesis testing. The approach allows for testing null hypotheses of not-good fit, reversing the role of the null hypothesis in conventional tests of model fit, so that a significant result provides strong support for good fit. The approach also allows for direct estimation of power, where effect size is defined in terms of a null and alternative value of the root-mean-square error of approximation fit index proposed by J. H. Steiger and J. M. Lind (1980). It is also feasible to determine minimum sample size required to achieve a given level of power for any test of fit in this framework. Computer programs and examples are provided for power analyses and calculation of minimum sample sizes.

The Measurement of Engagement and Burnout: A Two Sample Confirmatory Factor Analytic Approach

Abstract: This study examines the factorial structure of a new instrument to measure engagement, the hypothesized `opposite' of burnout in a sample of university students (N=314) and employees (N=619). In addition, the factorial structure of the Maslach-Burnout Inventory-General Survey (MBI-GS) is assessed and the relationship between engagement and burnout is examined. Simultaneous confirmatory factor analyses in both samples confirmed the original three-factor structure of the MBI-GS (exhaustion, cynicism, and professional efficacy) as well as the hypothesized three-factor structure of engagement (vigor, dedication, and absorption). Contrary to expectations, a model with two higher-order factors – ‘burnout’ and ‘engagement’ – did not show a superior fit to the data. Instead, our analyses revealed an alternative model with two latent factors including: (1) exhaustion and cynicism (‘core of burnout’); (2) all three engagement scales plus efficacy. Both latent factors are negatively related and share between 22% and 38% of their variances in both samples. Despite the fact that slightly different versions of the MBI-GS and the engagement questionnaire had to be used in both samples the results were remarkably similar across samples, which illustrates the robustness of our findings.

Job demands, job resources, and their relationship with burnout and engagement: a multi‐sample study

Abstract: This study focuses on burnout and its positive antipode—engagement. A model is tested in which burnout and engagement have different predictors and different possible consequences. Structural equation modeling was used to simultaneously analyze data from four independent occupational samples (total N = 1698). Results confirm the hypothesized model indicating that: (1) burnout and engagement are negatively related, sharing between 10 per cent and 25 per cent of their variances; (2) burnout is mainly predicted by job demands but also by lack of job resources, whereas engagement is exclusively predicted by available job resources; (3) burnout is related to health problems as well as to turnover intention, whereas engagement is related only to the latter; (4) burnout mediates the relationship between job demands and health problems, whereas engagement mediates the relationship between job resources and turnover intention. The fact that burnout and engagement exhibit different patterns of possible causes and consequences implies that different intervention strategies should be used when burnout is to be reduced or engagement is to be enhanced. Copyright © 2004 John Wiley & Sons, Ltd.

Trust and TAM in online shopping: an integrated model

Abstract: A separate and distinct interaction with both the actual e-vendor and with its IT Web site interface is at the heart of online shopping Previous research has established, accordingly, that online purchase intentions are the product of both consumer assessments of the IT itself-specifically its perceived usefulness and ease-of-use (TAM)-and trust in the e-vendor But these perspectives have been examined independently by IS researchers Integrating these two perspectives and examining the factors that build online trust in an environment that lacks the typical human interaction that often leads to trust in other circumstances advances our understanding of these constructs and their linkages to behavior Our research on experienced repeat online shoppers shows that consumer trust is as important to online commerce as the widely accepted TAM use-antecedents, perceived usefulness and perceived ease of use Together these variable sets explain a considerable proportion of variance in intended behavior The study also provides evidence that online trust is built through (1) a belief that the vendor has nothing to gain by cheating, (2) a belief that there are safety mechanisms built into the Web site, and (3) by having a typical interface, (4) one that is, moreover, easy to use