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Some research has shown that expectations modulate people's economic dishonesty. These studies have allowed their participants to precisely establish the dishonest extra financial gain, without threatening their image of honesty. In this article, we show that in situations where our economic dishonesty is driven by hard-to-quantify motivators such as level of effort, it is difficult to change the categorization of (dishonest) judgments. Faced with this ambiguity, people make decisions guided by moral intuitions that are not conditioned by changing expectations. We carried out three studies (one single-group study and two experimental between-subjects studies) in which we tested whether the level of deception varies when manipulating expectations of transparency/privacy and dishonesty/honesty. Our results show that the levels of dishonesty remain low, regardless of the participants' expectations. When our decisions are motivated by more ambiguous factors, in terms of being able to justify ourselves, our economic dishonesty becomes more rigidly directed toward the dictates of our moral intuitions., Competing Interests: The authors have declared that no competing interests exist.

The Positive Youth Development (PYD) approach identifies adolescents as resources to be empowered rather than problems to be solved. All adolescents have strengths and will fully develop when these strengths are integrated with healthy resources in the diverse environments where they live and interact. The objective of this study was twofold: (1) to present the Positive Development Program for Adolescents living in rural areas (DPAR Program) and (2) to pilot test the intervention program. The DPAR program was evaluated using a repeated-measures design before and after the intervention, with an intervention group and a control group. The sample consisted of 176 adolescents between 11 and 15 years old (M = 12.89, SD = 0.90) who belonged to two high schools with similar characteristics located in rural settings. A mixed-design analysis of variance was performed for each dependent variable. Results showed a significant increase in most of the study variables (self-esteem, self-efficacy, group identity, empathy, relational skills, assertiveness, and conflict resolution) and a significant decrease in alexithymia, as well as better academic performance. All this evidence indicates that the DPAR program is effective in promoting positive adolescent development and addresses the lack of programs based on the PYD approach in rural areas.

These studies are framed within Social Identity Theory and the Positive Youth Development approach. The aim is: (1) to analyze the relationship between group identification at school and key positive development variables (such as self-esteem, self-efficacy, assertiveness, empathy, alexithymia, satisfaction with life, and academic performance); and (2) examine the moderator role of context (rural or urban areas of residence) and sex in these relationships. The samples were composed of 246 adolescents from a rural context (Study 1) and 156 students from rural and urban contexts (Study 2). As proposed in our hypotheses, the results show statistically significant relationships between group identification and all the variables considered, higher group identification with the class in the rural context, and a moderator role of the context in the relationships between group identification and satisfaction with life, assertiveness, and empathy. These results are relevant for designing and implementing psychoeducational programs to promote positive youth development in both rural and urban contexts., (Copyright © 2020 Paricio, Herrera, Rodrigo and Viguer.)

Objective: Recent studies into the factorial structure of the 12-item version of the General Health Questionnaire (GHQ-12) have shown that it was best represented by a single substantive factor when method effects associated with negatively worded (NW) items are considered. The purpose of the present study was to examine the presence of method effects, and their relationships with demographic covariates, associated with positively worded (PW) and/or NW items., Design: A cross-sectional, observational study to compare a comprehensive set of confirmatory factor models, including method effects associated with PW and/or NW items with GHQ-12 responses., Setting: Representative sample of all employees living in Catalonia (Spain)., Participants: 3050 participants (44.6% women) who responded the Second Catalonian Survey of Working Conditions., Results: A confirmatory factor analysis showed that the best fitting model was a unidimensional model with two additional uncorrelated method factors associated with PW and NW items. Furthermore, structural equation modelling (SEM) revealed that method effects were differentially related to both the sex and age of the respondents., Conclusion: Individual differences related to sex and age can help to identify respondents who are prone to answering PW and NW items differently. Consequently, it is desirable that both the constructs of interest as well as the effects of method factors are considered in SEM models as a means of avoiding the drawing of inaccurate conclusions about the relationships between the substantive factors., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Ultrasound is a common medical care procedure during pregnancy which has psychological implications. Research has found that it reduces the mother's level of anxiety, but there is not enough literature on the effects of the ultrasound in relation to the trimester it is done (first, second, and third) and the effects on the psychosocial adaptation to pregnancy. The purpose of this study was to investigate the effects of the ultrasound in the first, second, and third trimester on anxiety and variables related to psychosocial adaptation to pregnancy. A pre-post intervention design was used. Participants were 111 pregnant women attending a prenatal diagnosis ultrasound scan procedure, State-Trait Anxiety Inventory (STAI), and Prenatal Self-Evaluation Questionnaire (PSEQ) were used to measure anxiety and psychosocial adaptation to pregnancy, respectively. Previous history was obtained through an interview. Results indicated that anxiety diminished after the ultrasound regardless of the trimester in which the ultrasound took place. However, first trimester ultrasound showed an additional benefit favoring the mother's psychosocial adaptation to pregnancy, identification with the motherhood role, and the quality of the relationship with the partner. These findings suggest that in addition to the medical value of the ultrasound, it also has an important psychological value that has to be considered in order to guarantee an integral care of the pregnant women, especially in the first trimester.

The 12-item version of the General Health Questionnaire (GHQ-12) has become a popular screening instrument with which to measure general psychological health in different settings. Previous studies into the factorial structure of the GHQ-12 have mainly supported multifactor solutions, and only a few recent works have shown that the GHQ-12 was best represented by a single substantive factor when method effects associated with negatively worded items were considered. Confirmatory factor analysis was applied to compare competing measurement models from previous research, including correlated traits-correlated methods and correlated traits-correlated uniquenesses approaches, to obtain further evidence about the factorial structure of the GHQ-12. This goal was achieved with data from 3,050 participants who completed the GHQ-12 included in the Catalonian Survey of Working Conditions (Catalonian Labor Relations and Quality of Work Department, 2012). The results showed additional evidence that the GHQ-12 has a unidimensional structure after controlling for method effects associated with negatively worded items. Furthermore, we found evidence for our hypothesis about the spurious nature of the 3-factor solution in Graetz's (1991) model after comparing its fit with that found for alternative models resulting from different combinations of the negatively worded items. An implication of our results is that future research about the factor structure of the GHQ-12 should take method effects associated with negative wording into account in order to avoid reaching inaccurate conclusions about its dimensionality., (PsycINFO Database Record (c) 2014 APA, all rights reserved.)

In relative terms, Spanish motorcyclists are more likely to be involved in crashes than other drivers and this tendency is constantly increasing. The objective of this study is to identify the factors that are related to being an offender in motorcycle accidents. A binary logit model is used to differentiate between offender and non-offender motorcyclists. A motorcyclist was considered to be offender when s/he had committed at least one traffic offense at the moment previous to the crash. The analysis is based on the official accident database of the Spanish general directorate of traffic (DGT) for the 2003-2008 time period. A number of explanatory variables including motorcyclist characteristics and environmental factors have been evaluated. The results suggest that inexperienced, older females, not using helmets, absent-minded and non-fatigued riders are more likely to be offenders. Moreover, riding during the night, on weekends, for leisure purposes and along roads in perfect condition, mainly on curves, predict offenses among motorcyclists. The findings of this study are expected to be useful in developing traffic policy decisions in order to improve motorcyclist safety., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Several pilot studies have provided evidence that mindfulness-based intervention is beneficial during pregnancy, yet its effects in mothers during the early parenting period are unknown. The purpose of the present pilot study was to examine the effectiveness of a mindfulness-based intervention in breast-feeding mothers. We developed and tested an 8-week mindfulness-based intervention aimed at improving maternal self-efficacy, mindfulness, self-compassion, satisfaction with life, and subjective happiness, and at reducing psychological distress. A randomized controlled, between-groups design was used with treatment and control groups (n = 26) and pretest and posttest measures. ANCOVA results indicated that, compared to the control group, mothers in the treatment group scored significantly higher on maternal self-efficacy, some dimensions of mindfulness (observing, acting with awareness, non-judging, and non-reactivity), and self-compassion (self-kindness, mindfulness, over-identification, and total self-compassion). In addition, mothers who received the treatment exhibited significantly less anxiety, stress, and psychological distress. The results supported previous research findings about the benefits of mindfulness-based intervention in women from the perinatal and postpartum periods through the early parenting period. Additional research is needed to validate our findings in non-breast-feeding mothers and to examine the intervention's indirect benefits in terms of family relationships and child development.

Count data are commonly assumed to have a Poisson distribution, especially when there is no diagnostic procedure for checking this assumption. However, count data rarely fit the restrictive assumptions of the Poisson distribution. The violation of much of such assumptions commonly results in overdispersion, which invalidates the Poisson distribution. Undetected overdispersion may entail important misleading inferences, so its detection is essential. In this study, different overdispersion diagnostic tests are evaluated through two simulation studies. In Exp. 1, the nominal error rate is compared under different sample sizes and lamda conditions. Analysis shows a remarkable performance of the chi2 df test. In Exp. 2 and 3, statistical power is compared under different sample sizes, lamda, and overdispersion conditions. Chi2 and LR tests provide the highest statistical power.

As some authors have noticed in fields other than psychology, level of measurement and distributional characteristics of count data are commonly not taken into account, so that they are analysed as normally distributed continuous variables, and therefore some general linear model is applied. In this work, we review a random sample of 457 articles published in the last four years in journals with the highest impact factor in the Journal Citation Reports (JCR Social Sciences Edition) of the Institute for Scientific Information. The goals are to know how often count variables appear in psychological applied research and which data analyses are used when dealing with count response variables. Examination showed that there is a notable presence of count variables, especially in some topics in psychology and a remarkable misapplication of the general linear model. One deals with causes and consequences of this approach to data analysis and suggests the use of specific models to analyse count data.