Longitudinal measurement models in evaluation research: Examining stability and change

This article provides an introduction to the use of Confirmatory Factor Analysis to test measurement invariance and stability in longitudinal research. The approach is illustrated through examples representing: (a) one construct, two measurement waves; (b) one construct, three waves; (c) two constructs, two waves; and (d) comparison of treatment and control groups in pre-post designs. Basic issues in establishing measurement invariance over time, across treatment groups, and within measurement waves are discussed. Estimates of the stability coefficients that are corrected for measurement error and method variance associated with each specific measured variable are provided. Establishing measurement invariance is a critical requirement for making inferences about treatment effects and changes in constructs over time.     

Risk and final offer arbitration usage rates: Evidence from major league baseball

We use major league baseball data to examine risk and final-offer arbitration usage. Risk attitudes are proxied by the likelihood that FOA-generated salary increases place the player’s baseball employment at risk. Employment risk is inversely related to player quality. Our evidence suggests that higher-quality (low-risk) players are more likely to file for arbitration and seek an arbitrated settlement than lowerquality (high-risk) players. We thank Paul Burgess for helpful comments on an earlier version of this paper.     

Political assessment by international firms: Models or methodologies?

Political risk is defined in terms of managerial contingencies arising from political events and processes. A number of “first-generation” assessment methodologies are reviewed and compared in terms of their degree of structure (explicit model of process) and systemization (formalization of methodology). The paper concludes that, at this point, effective political assessment is more likely to result from explicit specification of causal relationships and implementation of systematic analytical procedures than from development of increased methodological sophistication or elegance.     

WHY FAMILY THERAPY SHOULD GO BEYOND HOMEOSTASIS: A KUHNIAN REPLY TO ARIEL,CAREL AND TYANO

The thesis of “Beyond Homeostasis” is (a) that the discourse of family therapists unquestionably shows that family therapists have tended to see homeostasis as a trait of families; and (b) that such a view of homeostasis is inconsistent with the systemic paradigm. Therefore, family therapy should go beyond such an understanding of homeostasis. Ariel et al. may have failed to grasp this argument; they have certainly chosen to ignore it. Ariel et al. have provided a logical empiricist explication of the nonsystemic version of homeostasis which is portrayed in the discourse of family therapists. I still argue that family therapy should go beyond such an understanding of homeostasis.     

Bayes and empirical Bayes shrinkage estimation of regression coefficients

For a moderate or large number of regression coefficients, shrinkage estimates towards an overall mean are obtained by Bayes and empirical Bayes methods. For a special case, the Bayes and empirical Bayes shrinking weights are shown to be asymptotically equivalent as the amount of shrinkage goes to zero. Based on comparisons between Bayes and empirical Bayes solutions, a modification of the empirical Bayes shrinking weights designed to guard against unreasonable overshrinking is suggested. A numerical example is given.     

Equal Relationships: Fostering Growth for Clients and Counselors

Luthman, S. G., & Kirschenbaum, M. The Dynamic Family .
Stapleton, J., & Bright, R. Equal Marriage .     

The influence of contextual variables on interpersonal spacing

Four studies examined the effects of contextual variables on interpersonal spacing. Contextual variables were defined as transitory factors that involved the setting in which an interaction occurs; these variables were delineated from personal and interpersonal characteristics. In each experimental setting, white male subjects were allowed to choose the distance at which they interacted with a stranger. The first study found that subjects who had experienced social isolation prior to the interaction chose greater distances than subjects who had not been isolated. The second study found that subjects chose greater distances when they believed their interaction would be observed by others than when the interaction was private. Results from the third study yielded an interaction between topic of conversation and expected length of conversation with greatest distance being chosen when subjects expected a long conversation to focus on a personal topic. In the final study, room size and shape influenced interpersonal distance; the interaction indicated that room size affected distance only in rectangular rooms. The results are discussed in terms of equilibrium model (Argyle & Dean, 1965). It is argued that contextual variables affect intimacy, and that the equilibrium model can explicate the effects of contextual as well as personal and interpersonal variables.The help of the following people in conducting the research and analyzing the data is gratefully acknowledged: Elizabeth Brown, Brad Reeves, Michael Satir, Sheryl Vaughn, Mary Holland, Quig Lawrence, William Webb, and Kerry Marsh. Thanks are also in order for an unusually thorough reviewer who raised a number of important issues.