Lexicality and Stimulus Length Effects in Italian Dyslexics: Role of the Overadditivity Effect

The effect of lexicality and stimulus length was studied in 32 third- and fourth-grade Italian dyslexics and in 86 age-matched controls. A visual lexical decision task was used. As proposed by Faust et al. (1999) Faust, M. E., Balota, D. A., Spieler, D. H. and Ferraro, F. R. 1999. Individual differences in information-processing rate and amount: Implications for group differences in response latency. Psychological Bulletin, 125: 777–799. [INFOTRIEVE][CROSSREF][CSA][Crossref], [PubMed], [Web of Science ®] , [Google Scholar], the results were analyzed in terms of raw reaction time (RT) data and using the z-score transformation to control for the presence of overadditivity effects. In terms of RTs, dyslexics showed a larger difference between words and nonwords (lexicality effect) and between short and long stimuli (length effect) than proficient readers. When data were transformed into z scores, only the group by length interaction remained significant while that with lexicality vanished. This pattern indicates that stimulus length has a specific role in Italian dyslexics’ reading deficit; in contrast, slowness in responding to nonwords was not specific but was interpreted as one aspect of dyslexics’ general inability to deal with alphabetical material (overadditivity effect).     

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.     

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.     

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.     

Immediate Psychological Impact of the Deepwater Horizon Oil Spill: Symptoms of PTSD and Coping Skills

Five hundred eighty-eight participants completed the Short Post Traumatic Stress Disorder Rating Interview (SPRINT; Connor &; Davidson, 2001 Connor, K. and Davidson, J. 2001. SPRINT: A brief global assessment of post-traumatic stress disorder. International Clinical Psychopharmacology, 16(5): 279–284. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) and the Brief COPE (Carver, 1997 Carver, C. S. 1997. You want to measure coping but your protocol's too long: Consider the Brief COPE. International Journal of Behavioral Medicine, 4(1): 92–100. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) to determine the psychological impacts and coping styles of the Deepwater Horizon Oil Spill on Gulf Coast residents. Participants were divided into at-risk and nonrisk groups based on their occupations. Results indicated that 28% of the respondents scored above the SPRINT cutoff score, indicating significant levels of posttraumatic stress disorder (PTSD) symptoms. Furthermore, the Brief COPE results revealed that the at-risk group showed a negative correlation between active coping and the level of PTSD-related symptoms. The at-risk respondents also showed negative correlations of PTSD-related symptoms with coping strategies such as acceptance, planning, positive reframing, humor, and religion. Future research directions are also discussed.     

Further Insight and Additional Inference Methods for Polynomial Regression Applied to the Analysis of Congruence

In their seminal paper, Edwards and Parry (1993) Edwards, J. R. and Parry, M. E. 1993. On the use of polynomial regression equations as an alternative to difference scores in organizational research. Academy of Management Journal, 36: 1577–1613. [Crossref], [Web of Science ®] , [Google Scholar] presented the polynomial regression as a better alternative to applying difference score in the study of congruence. Although this method is increasingly applied in congruence research, its complexity relative to other methods for assessing congruence (e.g., difference score methods) was one of the main claims against its use. The objective of this work is to gain additional insight into the use of polynomial regression in the area of social and behavioral sciences. First, we elaborate on the meaning and the inference based on the coefficients obtained by applying polynomial regression and explain the mathematical terms that are used to describe response surfaces. Then, we introduce additional inference methods and illustrate their application on a real-life example from the area of supportive exchanges using data collected by the Smithers Institute at Cornell University (supported by the National Institute on Alcohol Abuse and Alcoholism). Our work is aimed to provide a guide to researchers who apply polynomial regression in order to assess the effect of congruence between two constructs and enable better understanding and interpretation of the results obtained.     

On the Model-Based Bootstrap With Missing Data: Obtaining a P-Value for a Test of Exact Fit

Evaluating the fit of a structural equation model via bootstrap requires a transformation of the data so that the null hypothesis holds exactly in the sample. For complete data, such a transformation was proposed by Beran and Srivastava (1985) Beran, R. and Srivastava, M. S. 1985. Bootstrap tests and confidence regions for functions of a covariance matrix. The Annals of Statistics, 13: 95–115. [Crossref], [Web of Science ®] , [Google Scholar] for general covariance structure models and applied to structural equation modeling by Bollen and Stine (1992) Bollen, K. A. and Stine, R. A. 1992. Bootstrapping goodness-of-fit measures in structural equation models. Sociological Methods and Research, 21: 205–229. [Crossref], [Web of Science ®] , [Google Scholar]. An extension of this transformation to missing data was presented by Enders (2002) Enders, C. K. 2002. Applying the Bollen-Stine bootstrap for goodness-of-fit measures to structural equation models with missing data. Multivariate Behavioral Research, 37: 359–377. [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar], but it is an approximate and not an exact solution, with the degree of approximation unknown. In this article, we provide several approaches to obtaining an exact solution. First, an explicit solution for the special case when the sample covariance matrix within each missing data pattern is invertible is given. Second, 2 iterative algorithms are described for obtaining an exact solution in the general case. We evaluate the rejection rates of the bootstrapped likelihood ratio statistic obtained via the new procedures in a Monte Carlo study. Our main finding is that model-based bootstrap with incomplete data performs quite well across a variety of distributional conditions, missing data mechanisms, and proportions of missing data. We illustrate our new procedures using empirical data on 26 cognitive ability measures in junior high students, published in Holzinger and Swineford (1939) Holzinger, K. J. and Swineford, F. 1939. A study in factor analysis: The stability of a bi-factor solution. Supplementary Educational Monographs, 48: 1–91.  [Google Scholar].     

ATTENTIONAL FLEXIBILITY AND PERSEVERATION: DEVELOPMENTAL ASPECTS IN YOUNG CHILDREN

Whereas a growing interest in the development of attentional flexibility (AF) and in perseverative behavior, being one marker of this component, exists in neuropsychological studies and in the domain of developmental psychopathology (e.g., PKU, infantile schizophrenia, autism and Parkinson's disease) (Pennington &; Ozonoff, 1996 Pennington, B. and Ozonoff, S. 1996. Executive functions and developmental psychopathology. Journal of Child Psychology and Psychiatry, 37: 51–88. [PUBMED][INFOTRIEVE][CSA][Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Stahl &; Pry, 2002 Stahl, L. and Pry, R. 2002. Joint attention and set-shifting in young children with autism. Autism, 6(4): 383–396. [PUBMED][INFOTRIEVE][CROSSREF][Crossref], [PubMed], [Web of Science ®] , [Google Scholar]), only a few studies have concerned themselves with this subject in normal children. It is thus of interest to add more empirical data to the existing literature in this domain. Therefore, the aim of our study was to explore the development of AF and of perseverative errors in young preschool children with normal development, aged 1.5 to 6 years. Using set-shifting tasks of increasing difficulty level, three age groups were compared with respect to their AF skills.Results show a developmental factor underlying AF, with different levels of this form becoming more and more complex with age, ranging from a rudimentary visual form to a complex representational form of flexibility. Overall, few perseverative errors occurred and they decreased with age. Results are discussed from a developmental and neuropsychological perspective.     

Processing of musical structure by high-functioning adolescents with autism spectrum disorders

Enhanced pitch perception and memory have been cited as evidence of a local processing bias in autism spectrum disorders (ASD). This bias is argued to account for enhanced perceptual functioning (Mottron &; Burack, 2001 Mottron, L. and Burack, J. A. 2001. “Enhanced perceptual functioning in the development of autism”. In The development of autism: Perspectives from theory to research, Edited by: Burack, J. A., Charman, T., Yirmiya, N. and Zelazo, P. R. 131–147. Mahwah, NJ: Lawrence Erlbaum.  [Google Scholar]; Mottron, Dawson, Soulières, Hubert, &; Burack, 2006 Mottron, L., Dawson, M., Soulières, I., Hubert, B. and Burack, J. 2006. Enhanced perceptual functioning in autism: An update, and eight principles of autistic perception. Journal of Autism and Developmental Disorders, 36(1): 27–43. doi:10.1007/s10803-005-0040-7[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) and central coherence theories of ASD (Frith, 1989 Frith, U. 1989. Autism: Explaining the enigma, Oxford: United Kingdom: Blackwell.  [Google Scholar]; Happé &; Frith, 2006 Happé, F. and Frith, U. 2006. The weak coherence account: Detail-focused cognitive style in autism spectrum disorders. Journal of Autism and Developmental Disorders, 36(1): 5–25. doi:10.1007/s10803-005-0039-0[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). A local processing bias confers a different cognitive style to individuals with ASD (Happé, 1999 Happé, F. 1999. Autism: Cognitive deficit or cognitive style?. Trends in Cognitive Sciences, 3(6): 216–222. doi:10.1016/S1364-6613(99)01318-2[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]), which accounts in part for their good visuospatial and visuoconstructive skills. Here, we present analogues in the auditory domain, audiotemporal or audioconstructive processing, which we assess using a novel experimental task: a musical puzzle. This task evaluates the ability of individuals with ASD to process temporal sequences of musical events as well as various elements of musical structure and thus indexes their ability to employ a global processing style. Musical structures created and replicated by children and adolescents with ASD (10–19 years old) and typically developing children and adolescents (7–17 years old) were found to be similar in global coherence. Presenting a musical template for reference increased accuracy equally for both groups, with performance associated to performance IQ and short-term auditory memory. The overall pattern of performance was similar for both groups; some puzzles were easier than others and this was the case for both groups. Task performance was further found to be correlated with the ability to perceive musical emotions, more so for typically developing participants. Findings are discussed in light of the empathizing-systemizing theory of ASD (Baron-Cohen, 2009 Baron-Cohen, S. 2009. Autism: The Empathizing-Systemizing (E-S) Theory. Annals of the New York Academy of Sciences, 1156: 68–80. doi:10.1111/j.1749-6632.2009.04467.x[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) and the importance of describing the strengths of individuals with ASD (Happé, 1999 Happé, F. 1999. Autism: Cognitive deficit or cognitive style?. Trends in Cognitive Sciences, 3(6): 216–222. doi:10.1016/S1364-6613(99)01318-2[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Heaton, 2009 Heaton, P. 2009. Assessing musical skills in autistic children who are not savants. Philosophical Transactions of the Royal Society Biological Sciences, 364: 1443–1447. doi:10.1098/rstb.2008.0327[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]).     

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.     

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.     

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.     

Spatial Training Improves Children's Mathematics Ability

We tested whether mental rotation training improved math performance in 6- to 8-year-olds. Children were pretested on a range of number and math skills. Then one group received a single session of mental rotation training using an object completion task that had previously improved spatial ability in children this age (Ehrlich, Levine, &; Goldin-Meadow, 2006 Ehrlich , S. , Levine , S. , &; Goldin-Meadow , S. ( 2006 ). The importance of gestures in children's spatial reasoning . Developmental Psychology , 42 , 1259 – 1268 .[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). The remaining children completed crossword puzzles instead. Children's posttest scores revealed that those in the spatial training group improved significantly on calculation problems. In contrast, children in the control group did not improve on any math tasks. Further analyses revealed that the spatial training group's improvement was largely due to better performance on missing term problems (e.g., 4 + ____ = 11).     

The Factor Structure of the CVLT-C in Pediatric Epilepsy

The current study used archival data to evaluate the fit of six latent variable models, originally generated by Donders (1999) Donders. 1999. Structural analysis of the California Verbal Learning Test—Children's Version in the standardization sample. Developmental Neuropsychology, 15(3): 395–406. [CSA][Taylor &; Francis Online], [Web of Science ®] , [Google Scholar], for the California Verbal Learning Test-Children's Version (CVLT-C; Delis, Kramer, Kaplan, &; Ober, 1994 Delis, D. C., Kramer, J. H., Kaplan, E. and Ober, B. A. 1994. California Verbal Learning Test—Children's Version, San Antonio, TX: Psychological Corporation.  [Google Scholar]) in a large (N = 289) sample of pediatric epilepsy cases presenting at three tertiary treatment centers. Using confirmatory factor analysis, we found that a model including factors of Attention Span, Learning Efficiency, Free Delayed Recall, Cued Delayed Recall, and Inaccurate Recall demonstrated the best relative fit for our data. These findings are consistent with those reported by Donders (1999) Donders. 1999. Structural analysis of the California Verbal Learning Test—Children's Version in the standardization sample. Developmental Neuropsychology, 15(3): 395–406. [CSA][Taylor &; Francis Online], [Web of Science ®] , [Google Scholar] in his reanalysis of the CVLT-C standardization sample data, supporting the validity of this factorial model in pediatric epilepsy populations.     

The Regression Trap and Other Pitfalls of Replication Science—Illustrated by the Report of the Open Science Collaboration

The Open Science Collaboration’s 2015 Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349, aac4716. doi:10.1126/science.aac4716[Crossref], [PubMed], [Web of Science ®] , [Google Scholar] report suggests that replication effect sizes in psychology are modest. However, closer inspection reveals serious problems. When plotting replication effects are against original effects, the regression trap is lurking: Expecting replication effects to be equally strong as original effects is logically unwarranted; they are inevitably subject to regressive shrinkage. To control for regression, the reliability of original and replication studies must be taken into account. Further problems arise from missing manipulation checks and sampling biases. Our critical comment highlights the need for replication science to live up to the same methodological scrutiny as other research.     

Effects of Film Music on Psychological Transportation and Narrative Persuasion

Two experiments examined the effect of film music on the narrative persuasion. In Experiment 1, participants viewed a short film with its original musical soundtrack or with soundtrack muted. In Experiment 2, musical soundtrack was added to a film that was originally produced without music. Findings indicated that participants reported greater transportation into the film and greater agreement with film-relevant beliefs when soundtrack was presented but only when music was congruent with the film's affective tone. In support of the transportation-imagery model (Green &; Brock, 2000 Green , M. C. , &; Brock , T. C. ( 2000 ). The role of transportation in the persuasiveness of public narratives . Journal of Personality and Social Psychology , 79 , 701 – 721 .[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]), the effect of film music on beliefs was mediated by transportation into the film.     

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.     

Interference Control in Children with First Episode Major Depression: A Brief Report

The ability to deal with sources of conflict, that is, interference control, was evaluated in a group of 11 children with first episode Major Depression and a peer control group. To this end, the Eriksen and Schultz (1979 Eriksen, C. W. and Schulz, D. W. 1979. Information processing in visual search: A continuous flow conception and experimental results. Perception and Psychophysics, 25: 249–263. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) task was used. Here, the participant is presented with a stimulus that simultaneously activates two conflicting response channels: One response is activated by the instructions, whereas the other response is activated by elements in the array that strongly invite an alternative — yet incorrect — response. Findings provided no evidence for an undisturbed interference control nor impaired overall processing speed in children with first episode Major Depression.     

Interpersonal Subtypes in Social Phobia: Diagnostic and Treatment Implications

Interpersonal assessment may provide a clinically useful way to identify subtypes of social phobia. In this study, we examined evidence for interpersonal subtypes in a sample of 77 socially phobic outpatients. A cluster analysis based on the dimensions of dominance and love on the Inventory of Interpersonal Problems–Circumplex Scales (Alden, Wiggins, &; Pincus, 1990 Alden, L. E. and Phillips, N. 1990. An interpersonal analysis of social anxiety and depression. Cognitive Therapy and Research, 14: 499–513. [Crossref], [Web of Science ®] , [Google Scholar]) found 2 interpersonal subtypes of socially phobic patients. These subtypes did not differ on pretreatment global symptom severity as measured by the Brief Symptom Inventory (Derogatis, 1993 Derogatis, L. R. 1993. Brief Symptom Inventory: Administration, scoring, and procedures manual , (4th ed.), Minneapolis, MN: NCS Pearson Assessments, Inc.  [Google Scholar]) or diagnostic comorbidity but did exhibit differential responses to outpatient psychotherapy. Overall, friendly-submissive social phobia patients had significantly lower scores on measures of social anxiety and significantly higher scores on measures of well-being and satisfaction at posttreatment than cold-submissive social phobia patients. We discuss the results in terms of interpersonal theory and the clinical relevance of assessment of interpersonal functioning prior to beginning psychotherapy with socially phobic patients.     

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.