Multi-Iteration Usability Testing of the U.S. Navy's Performance Management System

The U.S. Navy has undertaken the second of two iterations of usability testing for the Navy's Human Performance Feedback and Development (HPFD) and ePerformance system. This second of two iterations included 34 officer and enlisted supervisors and nonsupervisors in usability testing conducted at three Navy locations—Naval Meteorology and Oceanographic Center (NAVMETOCCEN) Norfolk in Norfolk, Virginia; USS HOWARD (DDG 83) in San Diego, California; and the Bureau of Naval Personnel (BUPERS) in Arlington, Virginia. Each participant completed a usability test scenario in addition to pretest and posttest surveys designed to obtain Navy personnel's subjective impressions of the HPFD and ePerformance systems. Results from analyses comparing data from Iteration 1 (reported in Schwerin, Dean, Robbins, Bourne, &; Reed, 2006 Schwerin, M. J., Dean, E., Robbins, K. M., Bourne, M. J. and Reed, L. 2006. Subjective and objective results of usability testing for the U.S. Navy's Performance Management System.. Military Psychology, 18(3): 227–245. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) and Iteration 2 (reported in Dean, Aspinwall, Schwerin, &; Kendrick, 2006 Dean, E., Aspinwall, K. R., Schwerin, M. J. and Kendrick, D. 2006. Usability results from Human Performance Feedback and Development (HPFD) and ePerformance system users (Tech. Rep. No. 1)., Research Triangle Park, NC: RTI International. [Crossref] , [Google Scholar]) show an overall reduction in user burden (e.g., fewer errors and less time to complete usability tasks) and increased user satisfaction (e.g., more satisfied with the professionalism, efficiency, and overall effectiveness). These findings indicate that the Navy HPFD and ePerformance systems are easier to use but, more generally, results support the value and effectiveness of usability in human systems integration (HSI) and usability testing. Recommendations for system refinement, policy development, and implementation planning are discussed.     

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.     

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.     

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.     

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.     

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.     

Mutual Suppression: Comment on Paulhus et al. (2004)

Paulhus, Robins, Trzesniewski, and Tracy (Multivariate Behavioral Research, 2004 Paulhus, D. L., Robins, R. W., Trzesniewski, K. H. and Tracy, J. L. 2004. Two replicable suppressor situations in personality research. Multivariate Behavioral Research, 39: 303–328. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar], 39, 305–328) suggested that the three types of two-predictor suppression situations—classical suppression, cooperative suppression, and net suppression—-can all be considered special cases of mutual suppression, in that the magnitude of each of the two standardized partial regression coefficients exceeds the magnitude of its corresponding standardized bivariate regression coefficient. Classical suppression and cooperative suppression can be considered mutual suppression, but net suppression cannot. Hypothetical and empirical examples of net suppression in which the magnitude of the standardized partial regression coefficient for the suppressor variable is greater than, equal to, and less than the magnitude of its standardized bivariate regression coefficient are provided. The empirical examples were drawn from the social psychology literature relating psychological well-being outcomes to life aspirations.     

The Effect of Attributional Retraining on Mastery and Performance Motivation Among First-Year College Students

Motivation can be undermined among first-year college students as they face a multitude of unanticipated challenges during the transition from high school to college (Compas, Wagner, Slavin, &; Vannatta, 1986 Compas , B. E. , Wagner , B. M. , Slavin , L. A. , &; Vannatta , K. ( 1986 ). A prospective study of life events, social support, and psychological symptomatology during the transition from high school to college . American Journal of Community Psychology , 14 , 241 – 257 .[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Perry, Hall, &; Ruthig, 2005 Perry , R. P. , Hall , N. C. , &; Ruthig , J. C. ( 2005 ). Perceived (academic) control and scholastic attainment in higher education . In J. Smart (Ed.), Higher education: Handbook of theory and research ( Vol. 20 , pp. 363 – 436 ). New York : Springer .[Crossref] , [Google Scholar]). As a consequence, approximately 27% of first-year students do not return for the second year of college (Feldman, 2005 Feldman , R. S. ( 2005 ). Improving the first year of college: Research and practice . Mahwah , NJ : Erlbaum . [Google Scholar]). First-year college students (N = 336) participated in a study to examine the efficacy of an Attributional Retraining (AR) treatment designed to increase motivation and enhance academic achievement. Employing a pre–post study design spanning an academic year, we examined the impact of AR on student motivation as operationalized in terms of mastery and performance goals. Findings indicated that AR increased mastery motivation but did not affect performance motivation. Findings also demonstrated that mastery motivation mediated the relationship between AR and grade point average, suggesting that mastery motivation is a key mechanism of AR. Findings are discussed in terms of conceptual contributions to both the AR and achievement motivation literatures, and practical implications are outlined.     

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.     

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.     

Reconstructing Recent Work on Macrosocial Stress as a Research Program

We reconstruct recent work on macrosocial stress (Chou, Parmar, &; Galinsky, 2016 Chou, E. Y., Parmar, B. L., &; Galinsky, A. D. (2016). Economic insecurity increases physical pain. Psychological Science, 27, 434–454. doi:10.1177/0956797615625640[Crossref], [Web of Science ®] , [Google Scholar]) as if it were an instance of a research strategy that tests point-alternative hypotheses within a full-fledged research program. Because this strategy is free of various deficits that beset dominant strategies (e.g., meta-analysis, Bayes factor analysis), our article demonstrates one way in which the confidence crisis may be overcome.     

Commentary Research on gene–environment interdependence: Honing the tools and examining the angles

The insightful overview by Sir Michael Rutter (this issue) on gene–environment interdependence comes about 10 years after the breakthrough Science publications on gene–environment interactions (G×E) involving the MAOA and 5-HTT genes by Caspi et al. (2002 Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J.Craig, I. W. 2002. Role of genotype in the cycle of violence in maltreated children. Science, 297: 851–854. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar], 2003 Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W.Harrington, H. 2003. Influence of life stress on depression: Moderation by a polymorphism in the 5-HTT gene. Science, 301: 386–389. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). Since then, a field of research has burgeoned that has produced replications as well as intriguing new evidence of gene–environment interdependence. At the same time, however, the field has witnessed a growing scepticism about the relevance of studying gene–environment interactions and has seen replication failures (see Duncan & Keller, 2011 Duncan, L. E. and Keller, M. C. 2011. A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry. American Journal of Psychiatry, 168: 1041–1049. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Risch et al., 2009 Risch, N., Herell, R., Lehner, T., Liang, K.-Y., Eaves, L.Hoh, J. 2009. Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: A meta-analysis. Journal of the American Medical Association, 301: 2462–2471. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). Against this backdrop, we comment and elaborate on several of the key issues raised by Rutter, and suggest some directions for future research on G×E. Specifically, we discuss (1) replication issues; (2) the crucial role of experiments in understanding gene–environment interdependence; (3) current unknowns with regard to differential susceptibility; and (4) clinical and practical implications of G×E research.     

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.     

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.     

Characteristics and Correlates of Cigarette Use Among Recent U.S. Veterans

Little is known about the smoking habits and cessation efforts of veterans returning from Iraq and Afghanistan, many of whom will seek health care services in the public sector. This project documents rates of smoking and quit attempts among veterans receiving Veteran's Health Administration (VHA) health care and describes the relationship between current smoking use/cessation and demographic characteristics, quality of life, and potential alcohol misuse.

A large representative sample of Iraq/Afghanistan era veterans was surveyed using the VA Survey of Healthcare Experiences of Patients (Wright, Craig, Campbell, Schafer, &; Humble, 2006 Wright, S. M., Craig, T., Campbell, S., Schaefer, J. and Humble, C. 2006. Patient satisfaction of female and male users of Veterans Health Administration services. Journal of General Internal Medicine, 21(Suppl. 3): S26–S32. [Crossref], [PubMed] , [Google Scholar]). One third of respondents reported smoking during the past year and 24% reported currently smoking. Current smoking status was more prevalent among those who reported less education and lower household income. Current smoking status was also related to lower mental and physical health quality of life and higher potential alcohol misuse scores. Quit attempts were significantly less common among reserve component veterans and quitters reported higher incomes and were slightly older. The frequency of cigarette smoking among recent veterans underscores the importance of addressing smoking cessation efforts within this population. Individual characteristics associated with current smoking, cessation efforts, and relapse may help tailor cessation treatment for this growing cohort of new veterans.