Consciousness of Social Face: The Development and Validation of a Scale Measuring Desire to Gain Face Versus Fear of Losing Face

ABSTRACT

This article describes the development and validation of a scale that measures two distinct needs for individuals to manage their social “face”. Scale development process resulted in an 11-item Consciousness of Social Face (CSF) scale made up of the following two correlated dimensions: desire to gain face and fear of losing face. The two-factor correlated structure of CSF scale was stable across multiple samples of both students and non-students subjects. The construct validity of CSF scale, including convergent validity, discriminant validity, and criterion-related validity was also demonstrated by examining relationships with other personality or demographical variables.     

7-10岁学龄儿童ADHD筛查研究

用SDQ（家长版）对上海10所小学二至四年级学生进行测查,以探求被试的ADHD症状表现,锁定ADHD高风险儿童。结果：（1）男生ADHD得分偏高（p<.01）,但女生在红橙两个级别内的百分数均高于男生;（2）9岁被试的ADHD得分分布最分散,占男生ADHD红色级别的比例最大,在女生ADHD得分中均值最大;（3）红橙两个级别为高风险级别。结论：（1）9岁是ADHD症状表现最严重的年龄;（2）女生具有更高的ADHD风险;（3）ADHD高风险被试晒出率：男生14.4%,女生17.4%。     

The construct of psychophysiological reactivity: Statistical and psychometric issues

The purpose of this paper is to review major statistical and psychometric issues impacting the study of psychophysiological reactivity and discuss their implications for applied developmental researchers. We first cover traditional approaches such as the observed difference score (DS) and the observed residual score (RS), including a review of classic and recent research on their reliability and validity from two related bodies of work: the measurement of change and the Law of Initial Values. Second, we review several types of latent variable modeling in this context: latent difference score (LDS) models, latent residual score (LRS) models, latent state-trait (LST) models, and latent growth curve (LGC) models. Finally, we provide broad guidelines for applied researchers broken down by key stages of a psychophysiological project: study planning, data analysis, and reporting of results. Our recommendations highlight the need for (1) increased attention to the ubiquitous nature of measurement error in observed variables and the importance of employing latent variable models when possible, and (2) increased specification of theories relating to the construct of reactivity, especially in regards to the distinction between baseline arousal and change over time in broader systems of variables.     

Establishing a trait anxiety threshold that signals likelihood of anxiety disorders

Abstract

Evidence suggests that the State Trait Inventory for Cognitive and Somatic Anxiety (STICSA) may be a more pure measure of anxiety than other commonly used scales. Further, the STICSA has excellent psychometric properties in both clinical and nonclinical samples. The present study aimed to extend the utility of the STICSA – Trait version by identifying a cut-off score that could differentiate a group of clinically diagnosed anxiety disorder patients (n=398) from a group of student controls (n =439). Two receiver operating characteristic curve analyses indicated cut-off scores of 43 (sensitivity=.73, specificity=.74, classification accuracy=.74) and 40 (sensitivity=.80, specificity=.67, classification accuracy=.73), respectively. In a large community sample (n =6685), a score of 43 identified 11.5% of individuals as probable cases of clinical anxiety, while a score of 40 identified 17.0% of individuals as probable cases of clinical anxiety. As a result of differences in sensitivity and specificity, the present findings suggest a cut-off score of 43 is optimal to identify probable cases of clinical anxiety, while a cut-off score of 40 is optimal to screen for the possible presence of anxiety disorders.     

Sudden gains as a long-term predictor of treatment improvement among children in community mental health organizations

ObjectiveSudden gains have been described as rapid, sizeable changes observed between treatment sessions and have been associated with improved treatment outcome in adults. The current study examined weekly sudden gains among children seeking treatment in the community mental health setting.MethodParticipants were 161 children (age M = 10.58, SD = 1.73; 69.6% male; 47.8% Caucasian) and their parents who were randomized to one of three treatment modalities and were administered weekly and quarterly assessments throughout treatment.ResultsWhen idiographic (youth- and parent-identified “top problems”) and nomothetic measures (standardized checklists) were used to calculate sudden gains (i.e., gain must be large: in absolute terms, relative to prior session, and relative to changes in prior and subsequent sessions), 20–42% of participants experienced at least one sudden gain during treatment. Most sudden gains occurred early in treatment, and session content of relaxation was associated with sudden gain presence. Using a modified Bonferonni correction, sudden gains predicted overall symptom levels at final assessment (i.e., last assessment obtained following post-treatment) even after controlling for pre-treatment symptom levels and magnitude of the overall gain from pre- to post-treatment.ConclusionsSuddenness of gains may have a direct effect on long-term treatment outcome among children in the community.     

Is the Flynn effect on g?: A meta-analysis

Black/White differences in mean IQ have been clearly shown to strongly correlate with g loadings, so large group differences on subtests of high cognitive complexity and small group differences on subtests of low cognitive complexity. IQ scores have been increasing over the last half century, a phenomenon known as the Flynn effect. Flynn effect gains are predominantly driven by environmental factors. Might these factors also be responsible for group differences in intelligence? The empirical studies on whether the pattern of Flynn effect gains is the same as the pattern of group differences yield conflicting findings. A psychometric meta-analysis on all studies with seven or more subtests reporting correlations between g loadings and standardized score gains was carried out, based on 5 papers, yielding 11 data points (total N = 16,663). It yielded a true correlation of − .38, and none of the variance between the studies could be attributed to moderators. It appears that the Flynn effect and group differences have different causes. Suggestions for future research are discussed.     

The association of environmental,individual factors,and dopamine pathway gene variation with smoking cessation

This study aimed to examine whether dopamine (DA) pathway gene variation were associated with smoking cessation, and compare the relative importance of infulence factors on smoking cessation. Participants were recruited from 17 villages of Shandong Province, China. Twenty-five single nucleotide polymorphisms in 8 DA pathway genes were genotyped. Weighted gene score of each gene was used to analyze the whole gene effect. Logistic regression was used to calculate odds ratios (OR) of the total gene score for smoking cessation. Dominance analysis was employed to compare the relative importance of individual, heaviness of smoking, psychological and genetic factors on smoking cessation. 415 successful spontaneous smoking quitters served as the cases, and 404 unsuccessful quitters served as the controls. A significant negative association of total DA pathway gene score and smoking cessation was observed (p < 0.001, OR: 0.25, 95% CI 0.16–0.38). Dominance analysis showed that the most important predictor for smoking cessation was heaviness of smoking score (42%), following by individual (40%), genetic (10%) and psychological score (8%). In conclusion, although the DA pathway gene variation was significantly associated with successful smoking cessation, heaviness of smoking and individual factors had bigger effect than genetic factors on smoking cessation.     

The Flynn effect in South Africa

This is a study of secular score gains in South Africa. The findings are based on representative samples from datasets utilized in norm studies of popular mainstream intelligence batteries such as the WAIS as well as widely used test batteries which were locally developed and normed in South Africa. Flynn effects were computed in three ways. First, studies where two different groups take the same test, with several years in between, using representative or comparable samples were used. Second, studies where the same group takes two different test batteries at a specific time were used. Third, the score differences between English- and Afrikaans-speaking Whites in South Africa in the 20th century were compared. The Flynn effect in White groups in South Africa is somewhat smaller than the Flynn effect in Western, industrialized countries (total N = 6534), and the Flynn effect in Indian groups is substantially smaller (total N = 682). Non-verbal IQ scores surpassed increases in verbal IQ scores. The findings from English- and Afrikaans-speaking Whites evidence a leveling out of differences in score gains over the 20th century (total N = 79,310). A meta-regression analysis showed no clear support for the moderators a) method used for computing the Flynn effect gain, b) type of test battery, c) time span, d) quality of the sample, and e) average age of sample.     

人员选拔中人格问卷可用性之争

个性调查问卷旨在通过一系列专门设计问题的施测结果来预测候选人的工作绩效。以往的研究由于对工作绩效内涵及对应参照效标的界定、问题设计的逻辑基础等方面存在各自的局限, 一直以来对个性调查问卷的有效性存在分歧。文章对此进行了全面综述与分析, 并提出了从平衡计分卡四个维度定义工作绩效参照效标, 采用内嵌并纵贯模式跟踪候选人工作绩效参照效标, 应是检验并提升个性调查问卷预测效度值得探索的研究方向。     

差异分数的信度分析

本文提出差异分数的信度变化问题,并以模拟数据分析了差异分数的信度在不同情况下的变化规律。结果指出：1．当两次测试得分的信度系数相等或相近时,两次测试的标准差相差越大,差异分数的信度越高。2．当两次测试得分的信度系数不等时,只要两次施测中任何一次的信度和标准差同时大于另外一次,那么差异分数的信度也比较高。3．无论两次测试的信度关系如何。两次测试相关越低,差异分数的信度越高。