Consciousness and emotion: ERP modulation and attentive vs. pre-attentive elaboration of emotional facial expressions by backward masking

Facial stimulus processing is an important topic to explain how people comprehend affective disposition in others. The effect of attentive and pre-attentive elaboration of emotional facial expression was explored in the present research by using backward masking procedure. Specifically, unconscious mental process of emotion comprehension was analyzed: pictures presenting a happy, sad, angry, fearful, disgusted, surprised expressions were submitted to 21 subjects in both attentive and pre-attentive conditions and event-related potentials (ERPs) were registered in the two conditions. The two processes, attentive and pre-attentive, seem to be similar in their nature, since they are marked by analogous ERP deflections. In fact, two ERP effects were found, a positive (P300) deflection, maximally distributed on the parietal regions, and a negative (N200) deflection, more localized on the frontal sites. Nevertheless, some differences between the two conditions were found in terms of quantitative modulations of the two peaks. The N200 effect, ampler in attentive condition, may be considered such as an index of conscious processing of emotional faces, whereas the P3 (P3a) effect, higher in pre-attentive condition, was considered a specific marker of the automatic, unconscious process during the emotional face comprehension.     

Investigating Psychometric Properties of Social Media Addiction Measures Among Adolescents

Assessment has a long history in counseling, with scholars noting multiple benefits to using assessment instruments in determining client strengths and needs as well as establishing relevant treatment goals. However, when counselors use unreliable or invalid instruments, they gather results that are ill equipped to inform clinical decision-making. Consequently, we evaluated and compared the psychometric properties of three scales of social media addiction—the Social Media Disorder Scale (van den Eijnden et al., 2016), the Bergen Social Media Addiction Scale (Andreassen et al., 2012, 2016), and the Social Media Addiction Scale (Al-Menayes, 2015)—to inform clinical use. Adolescents (N = 440) between the ages of 13 and 19 completed the scales. Results indicated that each scale provides a reliable and valid measurement of problematic social media use or addiction among adolescents. We provide recommendations for choosing a social media assessment and for future research.     

The relationship between direct and indirect measures of values: Is social desirability a significant moderator?

IntroductionThe measurement of personal values is still a great challenge in social psychology due to the complex nature of this concept.ObjectiveBased on Schwartz's theory of human values, this study aimed at analysing the relationship between the Values Implicit Association Test (VIAT), a relatively new indirect measure of values, and the Portrait Values Questionnaire (PVQ), a well-known direct measure of values. Also, it examined whether social desirability moderates this relationship.MethodSeventy-three participants (64.4% female; M age = 25.46, SD = 4.04) took part to the study in a standardized setting.ResultsResults showed different value priorities depending on the measure used (i.e., indirect vs direct), and although social desirability was related to participants’ responses on PVQ more than on VIAT, it did not moderate the association between direct and indirect measures for any of the examined values.ConclusionsImplications of the findings for value measurement and future developments are discussed.     

Regression away from the mean: Theory and examples

Using a standard repeated measures model with arbitrary true score distribution and normal error variables, we present some fundamental closed-form results which explicitly indicate the conditions under which regression effects towards (RTM) and away from the mean are expected. Specifically, we show that for skewed and bimodal distributions many or even most cases will show a regression effect that is in expectation away from the mean, or that is not just towards but actually beyond the mean. We illustrate our results in quantitative detail with typical examples from experimental and biometric applications, which exhibit a clear regression away from the mean (‘egression from the mean’) signature. We aim not to repeal cautionary advice against potential RTM effects, but to present a balanced view of regression effects, based on a clear identification of the conditions governing the form that regression effects take in repeated measures designs.     

Accounting for auto-dependency in binary dyadic time series data: A comparison of model- and permutation-based approaches for testing pairwise associations

Many theories have been put forward on how people become synchronized or co-regulate each other in daily interactions. These theories are often tested by observing a dyad and coding the presence of multiple target behaviours in small time intervals. The sequencing and co-occurrence of the partners’ behaviours across time are then quantified by means of association measures (e.g., kappa coefficient, Jaccard similarity index, proportion of agreement). We demonstrate that the association values obtained are not easy to interpret, because they depend on the marginal frequencies and the amount of auto-dependency in the data. Moreover, often no inferential framework is available to test the significance of the association. Even if a significance test exists (e.g., kappa coefficient) auto-dependencies are not taken into account, which, as we will show, can seriously inflate the Type I error rate. We compare the effectiveness of a model- and a permutation-based framework for significance testing. Results of two simulation studies show that within both frameworks test variants exist that successfully account for auto-dependency, as the Type I error rate is under control, while power is good.     

Are problems prevalent and stable in non-clinical populations? Problems and test-retest stability of a patient-generated measure,PSYCHLOPS (Psychological Outcome Profiles), in a non-clinical student sample

In straightened times counselling must evidence the changes it promotes on reputable measures. Patient-generated measures complement nomothetic measures and may be nearer the ethos of counselling in eliciting individuals' problems. Scores from such measures from non-clinical samples are rarely reported, making their test-retest stability uncertain. We report the prevalence and stability of self-reported problems using PSYCHLOPS (Psychological Outcome Profiles) in a non-clinical student population. PSYCHLOPS is a four-item, self-administered, patient-generated instrument. PSYCHLOPS was completed twice, 7–10 days apart. A wide range of problems was reported and showed satisfactory test-retest stability: Pearson, 0.66; Spearman, 0.68; intra-class correlation coefficient, 0.70. This is reassuring as instability would undermine PSYCHLOPS as a sensitive change measure.     

Assessing the merits and faults of holistic and disaggregated judgments

Three studies explored both the advantages of and subjects' preferences for a disaggregated judgment procedure and a holistic one. The task in our first two studies consisted of evaluating colleges; the third study asked participants to evaluate job applicants. Holistic ratings consisted of providing an overall evaluation while considering all of the characteristics of the evaluation objects; disaggregated ratings consisted of evaluating each cue independently. Participants also made paired comparisons of the evaluation objects. We constructed preference orders for the disaggregated method by aggregating these ratings (unweighted or weighted characteristics). To compare the holistic, disaggregated, and weighted‐disaggregated method we regressed the four cues on the participant's holistic rating, on the linearly aggregated disaggregated ratings, and on the average weighted disaggregated rating, using the participant's “importance points” for each cue as weights. Both types of combined disaggregated ratings related more closely to the cues in terms of proportion of variance accounted for in Experiments 1 and 2. In addition, the disaggregated ratings were more closely related to the paired‐comparison orderings, but Experiment 2 showed that this was true for a small set (10) but not a large set (60) of evaluation objects. Experiment 3 tested the “gamesmanship” hypothesis: People prefer holistic ratings because it is easier to incorporate illegitimate but appealing criteria into one's judgment. The results suggested that the disaggregated procedure generally produced sharper distinctions between the most relevant and least relevant cues. Participants in all three of these studies preferred the holistic ratings despite their statistical inferiority. Copyright © 2009 John Wiley & Sons, Ltd.     

RIASEC interest and confidence cutoff scores: Implications for career counseling

One strategy commonly used to simplify the joint interpretation of interest and confidence inventories is the use of cutoff scores to classify individuals dichotomously as having high or low levels of confidence and interest, respectively. The present study examined the adequacy of cutoff scores currently recommended for the joint interpretation of the Strong Interest Inventory (SII: Donnay, Morris, Schaubhut, & Thompson, 2005) and the Skills Confidence Inventory (SCI: [Betz, Borgen et al., 1996] and [Betz et al., 2005]). Cutoff score criteria were evaluated based on a sample of college students and employed adults (n = 1000), and cross-validated with a second sample of college students (n = 1, 149) who completed an experimental measure of RIASEC interests and confidence. Results were interpreted in the context of social cognitive career theory (Lent, Brown, & Hackett, 1994) by testing predictions regarding the relative frequency of individuals with either matched or mismatched levels of interest and confidence.     

System‐perpetuating asymmetries between explicit and implicit intergroup attitudes among indigenous and non‐indigenous Chileans

The present research demonstrates a dissociation between explicit and implicit intergroup evaluation in the reciprocal attitudes between indigenous (Mapuche) and non‐indigenous Chileans. In both social groups, the explicit measures of attitudes towards the respective in‐group and out‐group were compared with the Implicit Association Test scores. The results indicate that the members of the low‐status minority might explicitly express a moderate evaluative preference for their in‐group but might implicitly devalue it. Conversely, the members of the high‐status majority might implicitly devalue their out‐group but might explicitly express no bias. These results are theoretically framed in terms of system justification, conventional stereotypes and motivated correction processes.     

辽宁省肿瘤规范化诊治情况调查分析及管理对策

按照卫生部推行的《中国常见恶性肿瘤诊治规范》的内容要求,对全省1991年~2000年6个市18所医院肿瘤诊治规范化情况进行了抽查,针对不规范诊治所存在的问题,制定出了科学的、可行性的管理对策。