Assessing Multicultural Counseling Competence: A Review of Instrumentation

The authors review four new instruments designed to assess multicultural counseling competence in trainees and practicing professionals. The Cross-Cultural Counseling Inventory—Revised (CCCI-R), the Multicultural Counseling Awareness Scale—Form B (MCAS:B), the Multicultural Counseling Inventory (MCI), and the Multicultural Awareness-Knowledge-and Skills Survey (MAKSS) were each critically reviewed in terms of item development, psychometric properties, and pragmatic utility. Specific research suggestions for continued empirical validation on the instruments are posited, and strong cautions regarding their current use in training are leveled.     

An International Study of the Psychometric Properties of the Hofstede Values Survey Module 1994: A Comparison of Individual and Country/Province Level Results

Hofstede's Values Survey Module has been the basis for much cross‐cultural and cross‐national research in the workplace, but little information about its psychometric properties has been available. This study provides internal consistency (coefficient alpha) statistics from samples representing 23 nations/provinces. Across both English and translated versions, internal consistencies tended to be poor, and in the majority of cases failed to achieve even a liberal criterion of 0.60. Even when data were aggregated by sample coefficient alphas were poor for all but long‐term orientation. At the participant level, long‐term orientation and individualism had marginal internal consistencies, whereas power distance, masculinity, and uncertainty avoidance subscales had inadequate internal consistencies. A replication of Hofstede's ecological factor analysis failed to support the five subscales. It is suggested that the construct validity of these scales is suspect, and that they should be used with caution.     

Job demands,work‐family conflict,and emotional exhaustion in police officers: A longitudinal test of competing theories

We propose and test a comprehensive theory designed to explain seemingly contradictory relations between job demands, emotional exhaustion, and work‐family conflict (WFC) reported in the literature. Using job demands‐resources theory, effort‐recovery theory, and personal resources theory we hypothesized that job demands would spillover to emotional exhaustion as mediated by WFC (causality model), and alternatively that job demands would also spillover to WFC as mediated by emotional exhaustion (reverse causal model). Further, we also hypothesized using loss spiral theory that a more comprehensive model representing reciprocal and cross‐linked effects (causal and reverse causal simultaneously) would best fit the data. The hypotheses were tested in a longitudinal study of 257 Australian (Victorian) frontline police officers at two time points approximately 12 months apart. We used structural equation modelling and found in support of the simultaneous reciprocal effects hypothesis, that the more comprehensive model fitted the data better than either the causality or the reverse causal model. Future research should more comprehensively model the important relationships between job demands, emotional exhaustion, and WFC to reflect their complex interplay. Interventions to reduce work demands arising from work pressure and emotional demands are indicated to prevent conflict at home and emotional exhaustion in police officers.     

The use of structured multi-domain job analysis for the construction of assessment center methods and procedures

This article addresses the defensibility of the assessment center based on a content oriented validation strategy. One reason for the confusion in this area is the fact that there are no agreed upon methods for constructing the assessment procedures. Therefore, the purpose of this article is to describe how structured multi-domain job analysis information can be used to develop an assessment center which is well grounded with regard to content validity.     

Customer Reactions to Staff Empowerment: Mediators and Moderators

For over a decade, the empowerment of service staff has been touted as an effective means of improving worker satisfaction and performance. The 2 studies described in this paper assess likely customer reactions to staff empowerment. In Study I, conditions of full empowerment produced higher customer satisfaction ratings than did either limited or no empowerment, with evidence that the link between empowerment and satisfaction is mediated primarily by perceptions of procedural fairness. In Study 2, full empowerment was again associated with high satisfaction and with positive appraisals of the empowered staff member, although these effects were moderated by the employee's communication style.     

A feature-integration theory of attention

A new hypothesis about the role of focused attention is proposed. The feature-integration theory of attention suggests that attention must be directed serially to each stimulus in a display whenever conjunctions of more than one separable feature are needed to characterize or distinguish the possible objects presented. A number of predictions were tested in a variety of paradigms including visual search, texture segregation, identification and localization, and using both separable dimensions (shape and color) and local elements or parts of figures (lines, curves, etc. in letters) as the features to be integrated into complex wholes. The results were in general consistent with the hypothesis. They offer a new set of criteria for distinguishing separable from integral features and a new rationale for predicting which tasks will show attention limits and which will not.     

TEACHING CHILD-CARE SKILLS TO MOTHERS WITH DEVELOPMENTAL DISABILITIES

The present study identified and remediated child-care skill deficits in parents with developmental disabilities to reduce their risk of child neglect. Eleven mothers with developmental disabilities who were considered by social service and child welfare agencies to be providing neglectful child care were found in baseline to have several important child-care skill deficits (e.g., bathing, diaper rash treatment, cleaning baby bottles) compared to nonhandicapped mothers. Parent training (consisting of verbal instructions, pictorial manuals, modeling, feedback, and reinforcement) resulted in rapid acquisition and maintenance of child-care skills in all mothers. Mean percentage correct scores increased from 58% in baseline to 90% in training and 91% in follow-up (M = 31 weeks). The latter two scores compare favorably to the mean score (87%) of 20 nonhandicapped mothers on the same skills. Where observable, parent training was associated with corresponding benefits to the children (e.g., elimination of diaper rash and cradle cap, increased weight gain, successful toilet training). These results indicate that parent training may be a viable option to the removal of the child from the home when parenting skill deficits place the child's well-being in jeopardy.     

Outliers and Influential Observations in Exponential Random Graph Models

We discuss measuring and detecting influential observations and outliers in the context of exponential family random graph (ERG) models for social networks. We focus on the level of the nodes of the network and consider those nodes whose removal would result in changes to the model as extreme or “central” with respect to the structural features that “matter”. We construe removal in terms of two case-deletion strategies: the tie-variables of an actor are assumed to be unobserved, or the node is removed resulting in the induced subgraph. We define the difference in inferred model resulting from case deletion from the perspective of information theory and difference in estimates, in both the natural and mean-value parameterisation, representing varying degrees of approximation. We arrive at several measures of influence and propose the use of two that do not require refitting of the model and lend themselves to routine application in the ERGM fitting procedure. MCMC p values are obtained for testing how extreme each node is with respect to the network structure. The influence measures are applied to two well-known data sets to illustrate the information they provide. From a network perspective, the proposed statistics offer an indication of which actors are most distinctive in the network structure, in terms of not abiding by the structural norms present across other actors.