Social influences on smoking in middle-aged and older women

The purpose of this study was to examine the role of 2 types of social influence--general social support and living with a smoker--on smoking behavior among middle-aged and older women in the Women's Health Initiative (WHI) Observational Study. Participants were postmenopausal women who reported smoking at some time in their lives (N=37,027), who were an average age of 63.3 years at baseline. Analyses used multiple logistic regression and controlled for age, educational level, and ethnicity. In cross-sectional analyses, social support was associated with a lower likelihood and living with a smoker was associated with a higher likelihood of being a current smoker and, among smokers, of being a heavier smoker. Moreover, in prospective analyses among baseline smokers, social support predicted a higher likelihood and living with a smoker predicted a lower likelihood of smoking cessation 1-year later. Further, in prospective analyses among former smokers who were not smoking at baseline, social support predicted a lower likelihood and living with a smoker predicted a higher likelihood of smoking relapse 1-year later. Overall, the present results indicate that social influences are important correlates of smoking status, smoking level, smoking cessation, and smoking relapse among middle-aged and older women.     

Non‐standard work schedules and retention in the entry‐level hourly workforce

Non‐standard work schedules involve work outside the Monday–Friday daytime hours. Although research has heavily studied the health and family effects of such schedules, few studies have investigated their relationship to retention. We draw from Maertz and Campion's discussion of motivational forces that influence turnover to propose that employees on non‐standard schedules are more likely to quit their employer because of general job dissatisfaction and because of normative pressures from family and/or friends. Specifically, we hypothesized that employees on day shifts or weekday only schedules would remain with their employer longer than those who work on nonday shifts or on the weekends. We also hypothesized that perceived employment mobility would moderate the effects of non‐standard schedules on retention length. Hypotheses were tested among 3,178 retail employees who worked five different distinct shift arrangements and different weekday/weekend schedules. Cox regression analyses indicated that, as hypothesized, employees working nonday shifts or schedules including weekends remained with their employer for a shorter duration of time than employees not on such schedules. Perceived mobility moderated the schedule–turnover relationship, though not in the hypothesized manner. We discuss the theoretical and practical implications of these findings for work schedule assignment and retention strategies.     

Parental Divorce, Familial Risk for Depression, and Psychopathology in Offspring: A Three-Generation Study

Research suggests a link between parental divorce and negative child outcomes; however, the presence of parental depression may confound this relationship. Studies exploring the simultaneous effects of depression and parents’ divorce on the adjustment of their children are scarce and rarely have a longitudinal design. This is the first three-generation study of the relative effects of depression and divorce on offspring psychopathology, based on data from a 25-year longitudinal study with families at high and low risk for depression. One hundred seventy-eight grandchildren (mean age?=?13.9?years) of depressed and nondepressed parents and grandparents were evaluated by raters blind to their parents’ and grandparents’ clinical status. We found that in both low and high-risk children, divorce had a limited impact on child adjustment over and above familial risk for depression. Divorce had a significant effect on child outcomes only among high-risk grandchildren with a depressed grandparent and non-depressed parents, with this group showing a threefold risk for anxiety disorders. Results support previous findings suggesting that familial risk for depression largely overshadows the effect of parental divorce on child psychopathology. Possible reasons for the lack of association between divorce and child psychopathology among low-risk offspring are discussed.     

Toward an understanding of meaning creation via the collective co‐production process

Co‐production has been traditionally studied in the context of industrial and service markets. This study investigates the consumer's search for meaning and fulfillment via one type of co‐production, collective co‐production. The case study method was utilized to examine knife making from kits. The findings unpack a three‐part co‐production process (design, production, and consumption) that results in significant identity ramifications for consumers. During the design stage of knife making, the informants shaped their self‐concept through social inspiration, creative self‐expression, and identification with the primal sense of self. The production stage provided internal validation of the self‐concept through a pseudochallenge that was achieved through learning activities. The consumption stage provided external validation of the self‐concept as the informants shared their co‐production experience with others. Theoretical implications are discussed. Copyright © 2012 John Wiley & Sons, Ltd.     

Pathways to vocational services: factors affecting entry by veterans enrolled in Veterans Health Administration mental health services

The current study provides naturalistic data documenting the pathways-to-care to vocational services for 155 veterans who were receiving some form of mental health care from the Veterans Health Administration and had a vocational need but were not currently enrolled in vocational services. Of the participants, 94.2% had recognized their vocational need, 80.6% reported that they or someone else had sought help to alleviate the need, and 77.4% had previously received some form of vocational services. The median length of the participants' vocational need was more than 4.2 years. Delays associated with recognition, help-seeking, and treatment entry all contributed to the overall delay in entering appropriate care. Filtering factors associated with quicker recognition, seeking help, and receiving services included diagnosis, level of disability, type of vocational need, and support from primary providers, family, and friends. The results provide information for designing interventions to improve service entry by adults with mental health problems and vocational needs.     

Modeling general and specific variance in multifaceted constructs: a comparison of the bifactor model to other approaches

This article recommends an alternative method for testing multifaceted constructs. Researchers often have to choose between two problematic approaches for analyzing multifaceted constructs: the total score approach and the individual score approach. Both approaches can result in conceptual ambiguity. The proposed bifactor model assesses simultaneously the general construct shared by the facets and the specific facets, over and above the general construct. We illustrate the bifactor model by examining the construct of Extraversion as measured by the Revised NEO Personality Inventory (NEO‐PI‐R; Costa & McCrae, 1992), with two college samples (N = 383 and 378). The analysis reveals that the facets of the NEO‐PI‐R Extraversion correlate with criteria in opposite directions after partialling out the general construct. The direction of gender differences also varies by facets. Bifactor models combine the advantages but avoid the drawbacks of the 2 existing methods and can lead to greater conceptual clarity.     

Treating stimuli as a random factor in social psychology: a new and comprehensive solution to a pervasive but largely ignored problem

Throughout social and cognitive psychology, participants are routinely asked to respond in some way to experimental stimuli that are thought to represent categories of theoretical interest. For instance, in measures of implicit attitudes, participants are primed with pictures of specific African American and White stimulus persons sampled in some way from possible stimuli that might have been used. Yet seldom is the sampling of stimuli taken into account in the analysis of the resulting data, in spite of numerous warnings about the perils of ignoring stimulus variation (Clark, 1973; Kenny, 1985; Wells & Windschitl, 1999). Part of this failure to attend to stimulus variation is due to the demands imposed by traditional analysis of variance procedures for the analysis of data when both participants and stimuli are treated as random factors. In this article, we present a comprehensive solution using mixed models for the analysis of data with crossed random factors (e.g., participants and stimuli). We show the substantial biases inherent in analyses that ignore one or the other of the random factors, and we illustrate the substantial advantages of the mixed models approach with both hypothetical and actual, well-known data sets in social psychology (Bem, 2011; Blair, Chapleau, & Judd, 2005; Correll, Park, Judd, & Wittenbrink, 2002).