Neuropsychological Behavioral Inhibition System (BIS) and Behavioral Approach System (BAS) Assessment: A Shortened Sensitivity to Punishment and Sensitivity to Reward Questionnaire Version (SPSRQ–20)

This research was designed to investigate the items and factor structure of the Sensitivity to Punishment and Sensitivity to Reward Questionnaire (SPSRQ) proposed by Torrubia, Avila, Moltó, and Caseras (2001 Spielberger, C. D., Gorsuch, R. L. and Lushene, R. E. 1970. Manual for the State-Trait Anxiety Inventory., Palo Alto, CA: Consulting Psychologists Press.  [Google Scholar]), as a measure of the behavioral inhibition system and behavioral activation system in Gray's reinforcement sensitivity theory. Recent studies that analyzed this instrument by exploratory and confirmatory factor analysis suggest the need for structural refinement. The Spanish version of the SPSRQ was analyzed by exploratory and confirmatory procedures in calibration (n = 2,102) and validation (n = 746) independent samples. In addition, convergent and discriminant validity was evaluated with the Zuckerman–Kuhlman Personality Questionnaire (Zuckerman, Kuhlman, Teta, Joireman, &; Kraft, 1993 Torrubia, R. and Tobeña, A. 1984. A scale for the assessment of susceptibility to punishment as a measure of anxiety: Preliminary results. Personality and Individual Differences, 5: 371–375. [Crossref], [Web of Science ®] , [Google Scholar]), the Impulsiveness, Venturesomeness and Empathy Inventory (S. B. G. Eysenck, Pearson, Easting, &; Allsopp, 1985 Eysenck, S. B. G., Pearson, P. R., Easting, G. and Allsopp, F. J. 1985. Age norms for impulsiveness, venturesomeness and empathy in adults. Personality and Individual Differences, 6: 613–619. [Crossref], [Web of Science ®] , [Google Scholar]) the Neuroticism, Extraversion and Openness Five Factor Inventory (Costa &; McCrae, 1992 Costa, P. T. and McCrae, R. R. 1992. NEO–PI–R professional manual: Revised NEO Personality Inventory (NEO–PI–R) and NEO Five Factor Inventory (NEO–FFI), Odessa, FL: Psychological Assessment Resources.  [Google Scholar]), and the Barratt Impulsiveness Scales (Barratt, 1985 Ball, S. and Zuckerman, M. 1990. Sensation seeking, Eysenck's personality dimensions and reinforcement sensitivity in concept formation. Personality and Individual Differences, 11: 343–355. [Crossref], [Web of Science ®] , [Google Scholar]). Results showed the robustness of a 20-item structure of the SPSRQ, with satisfactory fit adjustment, validity, and reliability. The findings are discussed in terms of the better functioning and sound psychometric properties of the SPSRQ 20-item version for Gray's personality theory.     

Considering too few alternatives: The mental model theory of extensional reasoning

When solving a simple probabilistic problem, people tend to build an incomplete mental representation. We observe this pattern in responses to probabilistic problems over a set of premises using the conjunction, disjunction, and conditional propositional connectives. The mental model theory of extensional reasoning explains this bias towards underestimating the number of possibilities: In reckoning with different interpretations of the premises (logical rules, mental model theoretical, and, specific to conditional premises, conjunction and biconditional interpretation) the mental model theory accounts for the majority of observations. Different interpretations of a premise result in a build-up of mental models that are often incomplete. These mental models are processed using either an extensional strategy relying on proportions amongst models, or a conflict monitoring strategy. The consequence of considering too few possibilities is an erroneous probability estimate akin to that faced by decision makers who fail to generate and consider all alternatives, a characteristic of bounded rationality. We compare our results to the results published by Johnson-Laird, Legrenzi, Girotto, Legrenzi, and Caverni [Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar], 62 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]–88 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]. doi:10 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar].1037 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]/0033 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]-295X Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar].106 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar].1 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar].62 Johnson-Laird, P., Legrenzi, P., Girotto, V., Legrenzi, M., &; Caverni, J. (1999). Naive probability: A mental model theory of extensional reasoning. Psychological Review, 106, 62–88. doi:10.1037/0033-295X.106.1.62[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]], and we observe lower performance levels than those in the original article.     

Commentary: Mediation Analysis,Causal Process,and Cross-Sectional Data

Maxwell, Cole, and Mitchell (2011) extended the work of Maxwell and Cole (2007) Maxwell, S. E. and Cole, D. A. 2007. Bias in cross-sectional analyses of longitudinal mediation. Psychological Methods, 12: 23–44. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar], which raised important questions about whether mediation analyses based on cross-sectional data can shed light on longitudinal mediation process. The latest article considers longitudinal processes that can only be partially explained by an intervening variable, and Maxwell et al. showed that the same general conclusions are obtained, namely that analyses of cross-sectional data will not reveal the longitudinal mediation process. While applauding the advances of the target article, this comment encourages the detailed exploration of alternate causal models in psychology beyond the autoregressive model considered by Maxwell et al. When inferences based on cross-sectional analyses are compared to alternate models, different patterns of bias are likely to be observed. I illustrate how different models of the causal process can be derived using examples from research on psychopathology.     

Validation of the Impulsive/Premeditated Aggression Scale in College Students

ABSTRACT

Impulsive (IA) and premeditated (PM) aggression reflect functions of aggressive behavior that may have differential correlates and clinical utility. The purpose of this study was to extend the use of the Impulsive/Premeditated Aggression Scale (IPAS) for characterizing aggression in a college student sample. Three hundred forty students completed the IPAS, Buss and Perry's (1992) Buss, A. H. and Perry, M. 1992. The Aggression Questionnaire. Journal of Personality and Social Psychology, 63: 452–459. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar] Aggression Questionnaire (AQ), and measures of childhood maltreatment and negative life events. Principal components analyses supported reliable IA and PM factors. The degree of IA was significantly higher than that of PM. Convergent validity for the IA scale was supported with significant relationships with certain AQ scales. Implications for studying aggressive functions in this age group may inform violence prevention and treatment on college campuses.     

Childhood Sexual Abuse and Adulthood Parenting: The Mediating Role of Intimate Partner Violence

This study examined the role of intimate partner victimization in mediating the relationship between childhood sexual abuse and adulthood parenting in a community sample of mothers reliant on public assistance (N = 483). Baron and Kenny's (1986 Baron, R. M. and Kenny, D. A. 1986. The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51: 1173–1182. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) method for establishing mediation was used to address this question. A recent history of intimate partner violence mediated the relationship between childhood sexual abuse and psychological aggression; however, a lifetime history of intimate partner violence did not. Depressive symptomatology was found to mediate the relationship between childhood sexual abuse and parental warmth. The impact of childhood sexual abuse on corporal punishment was indirect through its association with childhood physical abuse and witnessing domestic violence. Implications for research, theory development, and practice are provided.     

Implicit and Explicit Sexual Motives as Related,But Distinct Characteristics

A measure of implicit sexual motives—the implicit AMORE—was constructed employing the Affect Misattribution Procedure (Payne, Cheng, Govorun, &; Stewart, 2005 Payne, B. K., Cheng, C. M., Govorun, O., &; Stewart, B. D. (2005). An inkblot for attitudes: Affect misattribution as implcit measurement. Journal of Personality and Social Psychology, 89, 277–293. doi:10.1037/0022-3514.89.3.277[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). Subscales paralleled the 8 dimensions identified previously by the self-report measure of sexual motives, the explicit AMORE (Hill &; Preston, 1996 Hill, C. A., &; Preston, L. K. (1996). Individual differences in the experience of sexual motivation: Theory and measurement of dispositional sexual motives. Journal of Sex Research, 33, 27–45. doi:10.1080/00224499609551812[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). Confirmatory factor analyses supported the proposed 8-factor model in slightly revised form, which was confirmed based on a second independent set of participants. Consistent with hypotheses, the implicit scales correlated with nonconscious erotica-viewing behavior for women in a laboratory setting. In contrast to explicit scales, implicit scales were unrelated to self-report ratings of likely sexual behavior. Finally, self-reports of aspects of sexual behavior were generally associated with the measures of implicit motives independently of corresponding explicit motives for both women and men. The results support the conception of implicit sexual motives as related, but distinct from explicit sexual motives.     

Bias in Cross-Sectional Analyses of Longitudinal Mediation: Partial and Complete Mediation Under an Autoregressive Model

Maxwell and Cole (2007) Maxwell, S. E. and Cole, D. A. 2007. Bias in cross-sectional analyses of longitudinal mediation. Psychological Methods, 12: 23–44. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar] showed that cross-sectional approaches to mediation typically generate substantially biased estimates of longitudinal parameters in the special case of complete mediation. However, their results did not apply to the more typical case of partial mediation. We extend their previous work by showing that substantial bias can also occur with partial mediation. In particular, cross-sectional analyses can imply the existence of a substantial indirect effect even when the true longitudinal indirect effect is zero. Thus, a variable that is found to be a strong mediator in a cross-sectional analysis may not be a mediator at all in a longitudinal analysis. In addition, we show that very different combinations of longitudinal parameter values can lead to essentially identical cross-sectional correlations, raising serious questions about the interpretability of cross-sectional mediation data. More generally, researchers are encouraged to consider a wide variety of possible mediation models beyond simple cross-sectional models, including but not restricted to autoregressive models of change.     

Predictors of Self-Reported Prospective and Retrospective Memory in a Population-Based Sample of Older Adults

In this article, the authors examined predictors of self-reported everyday memory failures using the Prospective and Retrospective Questionnaire (PRMQ; Smith, Della Sala, Logie, &; Maylor, 2000 Smith, G. V., Della Sala, S., Logie, R. H. and Maylor, E. A. M. 2000. Prospective and retrospective memory in normal ageing and dementia: A questionnaire study. Memory, 8: 311–321. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) in a population-based sample of older adults (age range = 60–90 years; N = 250). The results showed that a higher frequency of reported failures was associated with lower scores on the personality dimension of self-directedness as assessed by the Temperament and Character Inventory (TCI; Cloninger, Dragan, Svrakic, &; Przybeck, 1993 Cloninger, R. C., Dragan, M. S., Svrakic, D. M. and Przybeck, T. R. 1993. A psychobiological model of temperament and character. Archives of General Psychiatry, 50: 975–990. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) and more depressive symptoms on the Center for Epidemiological Studies Depression Scale (CES-D; Radloff, 1977 Radloff, L. S. 1977. The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1: 385–401. [Crossref], [Web of Science ®] , [Google Scholar]). However, PRMQ scores showed no relationships with objective memory ability, as reflected by a series of retrospective memory measures and a measure of prospective memory. Neither were the PRMQ scales associated with general cognitive functioning as assessed by the Mini-Mental State Examination (MMSE; Folstein, Folstein, &; McHugh, 1977). Taken together, the results indicate that within the older population, self-reported memory as assessed by the PRMQ may reflect mood-state and personality factors rather than individual differences in memory and cognitive ability.     

The Rediscovery of Bifactor Measurement Models

Bifactor latent structures were introduced over 70 years ago, but only recently has bifactor modeling been rediscovered as an effective approach to modeling construct-relevant multidimensionality in a set of ordered categorical item responses. I begin by describing the Schmid-Leiman bifactor procedure (Schmid &; Leiman, 1957 Schmid, J. 1957. The comparability of the bi-factor and second-order factor patterns. Journal of Experimental Education, 25: 249–253. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) and highlight its relations with correlated-factors and second-order exploratory factor models. After describing limitations of the Schmid-Leiman, 2 newer methods of exploratory bifactor modeling are considered, namely, analytic bifactor (Jennrich &; Bentler, 2011 Jennrich, R. I. and Bentler, P. M. 2011. Exploratory bi-factor analysis. Psychometrika, 76: 537–549. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) and target bifactor rotations (Reise, Moore, &; Maydeu-Olivares, 2011 Reise, S. P., Moore, T. M. and Maydeu-Olivares, A. 2011. Targeted bifactor rotations and assessing the impact of model violations on the parameters of unidimensional and bifactor models. Educational and Psychological Measurement, 71: 684–711. [Crossref], [Web of Science ®] , [Google Scholar]). Then I discuss limited- and full-information estimation approaches to confirmatory bifactor models that have emerged from the item response theory and factor analysis traditions, respectively. Comparison of the confirmatory bifactor model to alternative nested confirmatory models and establishing parameter invariance for the general factor also are discussed. Finally, important applications of bifactor models are reviewed. These applications demonstrate that bifactor modeling potentially provides a solid foundation for conceptualizing psychological constructs, constructing measures, and evaluating a measure's psychometric properties. However, some applications of the bifactor model may be limited due to its restrictive assumptions.     

Mind Perception and Individual Differences: A Replication and Extension

Mind perception involves attributing higher functional abilities to others (e.g., saying a dog feels pain). The relationships between mind perception and psychopathology—autism, psychopathy, and schizotypy—have been revealed by K. Gray, Jenkins, Heberlein, and Wegner (2011 Gray, K., Jenkins, A. C., Heberlein, A. S., &; Wegner, D. M. (2011). Distortions of mind perception in psychopathology. Proceedings of the National Academy of Sciences of the United States of America, 108, 477–479. doi:10.1073/pnas.1015493108[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]); however, mind perception has yet to be correlated with personality. Participants (N = 180) completed measures of personality, psychopathology, and mind perception. The psychopathology results were consistent with Gray et al. (2011 Gray, K., Jenkins, A. C., Heberlein, A. S., &; Wegner, D. M. (2011). Distortions of mind perception in psychopathology. Proceedings of the National Academy of Sciences of the United States of America, 108, 477–479. doi:10.1073/pnas.1015493108[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). The Big Five captured mind perception virtually as much as the three psychopathologies captured mind perception. Mind perception is not solely relevant to psychopathology; it is also relevant to everyday personality.     

Extending a Multilab Preregistered Replication of the Ego-Depletion Effect to a Research Program

We reanalyze the recent multilab preregistered study on ego-depletion by Hagger and Chatzisarantis (2016 Hagger, M. S., &; Chatzisarantis, N. L. D. (2016). A multilab preregistered replication of the ego-depletion effect. Perspectives on Psychological Science, 11, 546–573. doi:10.1177/1745691616652873[Crossref], [Web of Science ®] , [Google Scholar]) as if their data were obtained under the research program-strategy (Witte &; Zenker, 2016a Witte, E. H., &; Zenker, F. (2016a). Beyond schools—Reply to Marsman, Ly, and Wagenmakers. Basic and Applied Social Psychology, 38, 313–317. doi:10.1080/01973533.2016.1227710[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar], 2016b Witte, E. H., &; Zenker, F. (2016b). Reconstructing recent work on macro-social stress as a research program. Basic and Applied Social Psychology, 38, 301–307. doi:10.1080/01973533.2016.1207077[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). This strengthens Hagger and Chatzisarantis’s (2016 Hagger, M. S., &; Chatzisarantis, N. L. D. (2016). A multilab preregistered replication of the ego-depletion effect. Perspectives on Psychological Science, 11, 546–573. doi:10.1177/1745691616652873[Crossref], [Web of Science ®] , [Google Scholar]) main conclusion, because our reanalysis more directly corroborates the absence of a medium-sized, or a small-sized, ego-depletion effect (d?=?.50 under α?=?β?=?.05; d?=?.20 under α?=?β?=?.01). We explain how a smaller ego-depletion effect of d?=?.04 can be tested under similar conditions, having determined this value by maximum likelihood estimation, and compare the research program-strategy to a standard meta-analytic integration.     

The Adult Attachment Projective Picture System: Integrating Attachment Into Clinical Assessment

This article summarizes the development and validation of the Adult Attachment Projective System (AAP), a measure we developed from the Bowlby–Ainsworth developmental tradition to assess adult attachment status. The AAP has demonstrated excellent concurrent validity with the Adult Attachment Interview (George, Kaplan, &; Main, 1984/1985/1996 Finn, S. E. 2007. In our client's shoes: Theory and techniques of therapeutic assessment., New York, NY: Psychology Press.  [Google Scholar]; Main &; Goldwyn, 1985–1994 Lis, A., Mazzeschi, C., Di Riso, D. and Salcuni, S. 2011/this issue. Attachment, assessment, and psychological intervention: A case study of anorexia. Journal of Personality Assessment, 93: 434–444. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]; Main, Goldwyn, &; Hesse, 2003 Lyons-Ruth, K. and Jacobvitz, D. 2008. “Attachment disorganization: Unresolved loss, relational violence, and lapses in behavioral and attentional strategies”. In Handbook of attachment: Theory, research, and clinical applications , 2nd ed, Edited by: Cassidy, J. and Shaver, P. R. 666–697. New York, NY: Guilford.  [Google Scholar]), interjudge reliability, and test–retest reliability, with no effects of verbal intelligence or social desirability. The AAP coding and classification system and application in clinical and community samples are summarized. Finally, we introduce the 3 other articles that are part of this Special Section and discuss the use of the AAP in therapeutic assessment and treatment.     

The Effect of the Accountability Variables of Responsibility,Openness, and Answerability on Authentic Leadership

One salient aspect of authentic leadership is the possibility that it can be developed (Walumbwa, Avolio, Gardner, Wernsing, &; Peterson, 2008 Walumbwa, F. O., Avolio, B. J., Gardner, W. L., Wernsing, T. S., &; Peterson, S. J. (2008). Authentic leadership: Development and validation of a theory-based measure. Journal of Management, 34(1), 89–126. doi:10.1177/0149206307308913[Crossref], [Web of Science ®] , [Google Scholar]). However, the relative paucity of research on authentic leadership as a dependent variable needs to be addressed. The purpose of this cross-sectional quantitative study is to examine the three factors of accountability: (a) responsibility, (b) openness, and (c) answerability (Wood &; Winston, 2007 Wood, J. A., &; Winston, B. E. (2007). Development of three scales to measure leader accountability. Leadership &; Organization Development Journal, 28(2), 167–185. doi:10.1108/01437730710726859[Crossref] , [Google Scholar]) as antecedents to authentic leadership. Using survey results from a sample of full-time employees at six faith-based institutions of higher education in the United States, a predictive relationship was investigated through hierarchical regression analysis. The results indicated that the variables of responsibility, openness, and answerability predict the perception of authentic leadership.     

Matching Methods for Selection of Participants for Follow-Up

This work examines ways to make the best use of limited resources when selecting individuals to follow up in a longitudinal study estimating causal effects. In the setting under consideration, covariate information is available for all individuals but outcomes have not yet been collected and may be expensive to gather, and thus only a subset of the comparison participants are followed. Expressions in Rubin and Thomas (1996) Rubin, D. B. and Thomas, N. 1996. Matching using estimated propensity scores, relating theory to practice.. Biometrics, 52: 249–264. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar] show the benefits that can be obtained, in terms of reduced bias and variance of the estimated treatment effect, of selecting comparison individuals well matched to those in the treated group compared with a random sample of comparison individuals. We primarily consider nonexperimental settings but also consider implications for randomized trials. The methods are illustrated using data from the Johns Hopkins University Baltimore Prevention Program, which included data collection from age 6 to young adulthood of participants in an evaluation of 2 early elementary-school-based universal prevention programs.     

Quality of Life in the U.S. Navy: Impact on Performance and Career Continuance

Previous research has shown the importance of quality of life (QOL) for critical organizational outcomes such as the retention of U.S. Navy personnel (Wilcove, Schwerin, &; Wolosin, 2003 Wilcove, G., Schwerin, M. and Wolosin, D. 2003. An exploratory model of quality of life in the U.S. Navy.. Military Psychology, 15(2): 133–152. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) and Marines (Hindelang, Schwerin, &; Farmer, 2004 Hindelang, R. L., Schwerin, M. J. and Farmer, W. L. 2004. Quality of life (QOL) in the U.S. Marine Corps: The validation of a QOL model for predicting reenlistment intentions.. Military Psychology, 16(2): 115–134. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). These studies employed a life domains approach addressing a full range of work and non-work life needs as well as specific aspects of each life domain. In contrast, most other research exploring outcomes critical to military organizations focused only on work life needs of personnel (e.g., job satisfaction, organizational commitment, command climate). This study extends previous research by (a) including both performance and career-continuance plans of personnel as outcomes of interest, (b) exploring the contribution of an additional life need—spiritual well-being—to the measurement of QOL, and (c) examining changes in perceptions of QOL over time between 1999 and 2002 among U.S. Navy personnel. Implications of findings to military personnel, families, and manpower and personnel policy as well as future directions for research are discussed.     

Assessing Mediational Models: Testing and Interval Estimation for Indirect Effects

Theoretical models specifying indirect or mediated effects are common in the social sciences. An indirect effect exists when an independent variable's influence on the dependent variable is mediated through an intervening variable. Classic approaches to assessing such mediational hypotheses (Baron &; Kenny, 1986 Baron, R. M. and Kenny, D. A. 1986. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations.. Journal of Personality and Social Psychology, 51: 1173–1182. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Sobel, 1982 Sobel, M. E. 1982. “Asymptotic confidence intervals for indirect effects in structural equation models.”. In Sociological methodology 1982 Edited by: Leinhardt, S. 290–312. San Francisco: Jossey-Bass. [Crossref] , [Google Scholar]) have in recent years been supplemented by computationally intensive methods such as bootstrapping, the distribution of the product methods, and hierarchical Bayesian Markov chain Monte Carlo (MCMC) methods. These different approaches for assessing mediation are illustrated using data from Dunn, Biesanz, Human, and Finn (2007). However, little is known about how these methods perform relative to each other, particularly in more challenging situations, such as with data that are incomplete and/or nonnormal. This article presents an extensive Monte Carlo simulation evaluating a host of approaches for assessing mediation. We examine Type I error rates, power, and coverage. We study normal and nonnormal data as well as complete and incomplete data. In addition, we adapt a method, recently proposed in statistical literature, that does not rely on confidence intervals (CIs) to test the null hypothesis of no indirect effect. The results suggest that the new inferential method—the partial posterior p value—slightly outperforms existing ones in terms of maintaining Type I error rates while maximizing power, especially with incomplete data. Among confidence interval approaches, the bias-corrected accelerated (BC _a ) bootstrapping approach often has inflated Type I error rates and inconsistent coverage and is not recommended; In contrast, the bootstrapped percentile confidence interval and the hierarchical Bayesian MCMC method perform best overall, maintaining Type I error rates, exhibiting reasonable power, and producing stable and accurate coverage rates.     

Individual Differences in Mediators and Reactions to a Personal Safety Threat Message

Individual differences in processing information about a personal threat message about bisphenol A (BPA) risk were examined using the threat orientation model (Thompson &; Schlehofer, 2008 Thompson , S. C. , &; Schlehofer , M. M. ( 2008 ). Control, denial, and heightened sensitivity reactions to personal threat: Testing the generalizability of the threat orientation approach . Personality and Social Psychology Bulletin , 34 , 1070 – 1083 .[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). Adults (N = 448) read a risk message concerning BPA in plastics. Threat orientations, intentions to protect oneself from BPA risk, and emotional and cognitive reactions to the message were measured. Individuals with different approaches to threat reached different conclusions about the message and used different information in that process. These findings suggest that consideration of individual differences could improve the predictive ability of existing theoretical models and the effectiveness of health and safety messages.     

Nonpathological and Pathological Narcissism: Which Self-Reported Characteristics Are Most Problematic in Adolescents?

Prior research indicates that dimensions of adolescent narcissism differ in their associations with indicators of positive and negative psychological functioning (e.g., Barry, Frick, Adler, &; Grafeman, 2007 Barry, C. T., Frick, P. J., Adler, K. K. and Grafeman, S. J. 2007. The predictive utility of narcissism among children and adolescents: Evidence for a distinction between adaptive and maladaptive narcissism. Journal of Child and Family Studies, 16: 508–521. [Crossref] , [Google Scholar]; Barry &; Wallace, 2010 Barry, C. T. and Wallace, M. T. 2010. Current considerations in the assessment of youth narcissism: Indicators of pathological and normative development. Journal of Psychopathology and Behavioral Assessment, 32: 479–489. [Crossref], [Web of Science ®] , [Google Scholar]). This study investigated correlates of 2 empirically derived factors of adolescent narcissism (i.e., pathological and nonpathological narcissism) from 2 measures thought to differ based on their inclusion of pathological versus nonpathological content. In a sample of 188 at-risk adolescents ages 16 to 18, pathological narcissism was associated with various indicators of maladjustment, including aggression, low self-esteem, internalizing problems, and poor perceived interpersonal relationships. On the other hand, nonpathological narcissism was positively associated with self-esteem and aggression but negatively associated with internalizing problems. The implications for the conceptualization of adolescent narcissism are discussed.