Assumptions about unmeasured variables with studies of reciprocal relationships: the case of employee attitudes

Article Abstract:

Recent applications of latent variable modeling (LVM) of reciprocal relationships involving employee attitudes were examined with regard to assumptions made about unmeasured variables and correlations among residuals of structural equations. Data from two published studies from the job satisfaction and organizational commitment literature were reanalyzed with LVM. The consequence of specifying residual correlations were examined for models containing nonlagged and lagged reciprocal effects. The results of model comparison tests in both samples supported the importance of specifying correlations among the residuals, and many of the residual correlations estimated were statistically significant. Moreover, specifying residual correlations resulted in most of the significant parameter estimates representing reciprocal effects becoming nonsignificant, and changes in other parameter estimates also occured. Implications for model specification are discussed. (Reprinted by permission of the publisher.)

Models, Latent variables

---

Management and nonmeasurement processes with negative affectivity and employee attitudes

Article Abstract:

The partial-correlation approach to investigating negative affectivity (NA) is discussed, and 2 alternative latent-variable techniques are presented. The results of these 3 analytic techniques were compared using a data set consisting of NA, job satisfaction, affective commitment, role stressors, leader-member exchange, and job complexity. The findings using the partial-correlation technique supported a biasing effect of NA on relationships between the substantive variables. Alternatively, although 2 latent-variable approaches provided evidence consistent with the measurement contamination and substantive influences of NA, relationships between the predictors and outcomes were not biased by NA. Both the measurement and substantive relationships effects of NA found in this study and implications for future research on self-reports are discussed. (Reprinted by permission of the publisher.)

Analysis, Psychological research, Affect (Psychology)

---

Interpersonal, job, and individual factors related to helping processes at work

Article Abstract:

Nurses and support staff (N=465; mostly women) participated in a survey study examining the relationships among helping, help seeking, quality of work relationships, and job and individual factors. The results were consistent with a model that linked relationship quality and helping behavior and linked 1 person's help seeking and the other's helping. The results were also consistent with a model that linked relationship quality and an individual's judgments about the costs of seeking help. Finally, there was support for relationships between help seeking and job demands and task interdependence, suggesting indirect relationships with helping. (Reprinted by permission of the publisher.)

Medical personnel, Organizational behavior, Quality of work life, Helping behavior, Help-seeking behavior, Help seeking behavior

Similar abstracts:

• Abstracts: Sampling variance in attenuated correlation coefficients: a Monte Carlo study. Averaging correlation coefficients: Should Fisher's z transformation be used?
• Abstracts: Meta-analysis and moderator variables: a cautionary note on transportability. The power of the Schmidt and Hunter Additive Model of Validity Generalization
• Abstracts: The effects of television consumption on social perceptions: the use of priming procedures to investigate psychological processes
• Abstracts: Efficacy beliefs and work stress: an exploratory study. Formal mentoring versus supervisor and coworker relationships: differences in perceptions and impact
• Abstracts: Consumer knowledge: effects on evaluation strategies mediating consumer judgments. Decision issues in building perceptual product spaces with multi-attribute rating data

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.