The IPIP–HEXACO scales: An alternative, public-domain measure of the personality constructs in the HEXACO model

Recently, Lee and Ashton (2004) described the HEXACO Personality Inventory (HEXACO-PI), a new instrument designed to assess the six dimensions observed in lexical studies of personality structure of various languages. Here, we describe the development of an alternative measure of the HEXACO factors and their facets, using the items of the International Personality Item Pool (IPIP). The scales of the resulting IPIP–HEXACO inventory showed satisfactory psychometric properties, as assessed by internal-consistency reliability, convergent and discriminant correlations with the original HEXACO-PI scales, and factor structure. We discuss the potential usefulness of the new IPIP–HEXACO inventory and its strengths and limitations.     

Development of specialization scales for the MSPI: A comparison of empirical and inductive strategies

An empirical measurement model for interest inventory construction uses internal criteria whereas an inductive measurement model uses external criteria. The empirical and inductive measurement models are compared and contrasted and then two models are assessed through tests of the effectiveness and economy of scales for the Medical Specialty Preference Inventory (Zimney, 1979). The empirical results clearly demonstrate the advantages of using an empirical model for occupational interest inventory construction, whether alone or in conjunction with an inductive model. Furthermore, the results indicated that the empirical model may be used to resolve the long-standing problems in constructing predictive inventories for specialty choice within an occupation.     

Leveling the playing field: can psychological coping resources reduce the influence of physical and technical skills on athletic performance?*

Background and Objectives: The present study assessed the extent to which individual differences in psychological coping resources are related to athletic performance; whether they can attenuate the amount of performance variance accounted for by physical/technical skills; and whether coping resources remain significant predictors of performance when physical/technical skill level is statistically controlled.

Methods: Twenty college golf coaches rated the physical/technical skills of 189 men and women varsity golfers on their teams. Athletes completed the Athletic Coping Skills Inventory (ACSI-28), with the total (Personal Coping Resources) score serving as a global measure of sport-relevant psychological coping resources. Subsequent performance (stroke average per round) of 105 golfers was assessed over a mean of 12.04 competitive rounds during the remainder of the season.

Results: Physical/technical skills and psychological coping resource measures were minimally correlated and both were significant and similarly influential predictors of performance. With psychological resources controlled, performance variance accounted for by physical/technical skills was reduced from 21.2% to 10.6%. With physical/technical skills statistically controlled, psychological coping resources, though reduced from 18.2% to 7.5% of accountable variance, remained a significant predictor of performance.

Conclusion: Results support the significant role played by psychological coping resources as predictors of athletic performance, together with their ability to “level the field” by reducing the influence of physical/technical talent.     

Empirically Defining Treatment Response and Remission in Body Dysmorphic Disorder Using a Short Self-Report Instrument

Determining response or remission status in body dysmorphic disorder (BDD) usually requires a lengthy interview with a trained clinician. This study sought to establish empirically derived cutoffs to define treatment response and remission in BDD using a brief self-report instrument, the Appearance Anxiety Inventory (AAI). Results from three clinical trials of BDD were pooled to create a sample of 123 individuals who had received cognitive-behavioral therapy for BDD, delivered via the Internet. The AAI was compared to gold-standard criteria for response and remission in BDD, based on the clinician-administered Yale–Brown Obsessive Compulsive Scale, modified for BDD (BDD-YBOCS), and evaluated using signal detection analysis. The results showed that a ≥ 40% reduction on the AAI best corresponded to treatment response, with a sensitivity of 0.71 and a specificity of 0.84. A score ≤ 13 at posttreatment was the optimal cutoff in determining full or partial remission from BDD, with a sensitivity of 0.75 and a specificity of 0.88. These findings provide benchmarks for using the AAI in BDD treatment evaluation when resource-intensive measures administered by clinicians are not feasible.     

The Neighbourhood Youth Inventory: development and validation

This paper describes the development and validation of an inventory to uncover youths' experiences in their neighbourhoods. The Neighbourhood Youth Inventory (NYI) was developed from conversations with youths in Grades 7, 9 and 11. This paper reports the psychometric analyses of the NYI. Responses from 934 youths (511 urban, 423 rural) to the NYI resulted in a four‐factor solution. This solution was stable across responses from youths in Grades 7, 9 and 11, and for urban and rural youths. Cronbach alphas ranged from 0.64 to 0.94. Construct, convergent and discriminant validity of the NYI subscales are demonstrated. Using the NYI we will be able to assess youths' experiences within their neighbourhoods, which may contribute to a more ecological understanding of healthy developmental outcomes beyond family, peer and school environments. Copyright © 1999 John Wiley & Sons, Ltd.     

学校组织健康与学生心理健康的相关性研究

探讨初中组织健康与学生心理健康的相关,结果表明,学校组织健康状况与学生心理健康水平相关十分显著,学校组织越健康,学生心理健康水平越高,置身于健康学校组织里和不健康学校组织里的学生,其心理健康水平差异显著;回归分析进一步表明,学校组织健康因子与学生心理健康因子有较好的回归关系,特别是校长倡导、关心体贴和校长影响力这三个组织健康因子与学生心理健康各因子回归显著。     

Adults' estimates of pre-school children's verbal and motor abilities compared with those children's scores on an individual developmental test

Forty-seven mothers estimated their pre-school children's development on a psychometrically constructed multidomain mothers' inventory. Similar data were obtained for the same children from 13 pre-school teachers. The mothers' and pre-school teachers' estimates were compared to the children's scores on McCarthy Scales of Children's Abilities (MSCA). The mothers' inventory responses yielded convergent–divergent correlations with the MSCA results; in two domains out of seven, their standardized estimations were significantly lower than standardized MSCA scores, and in no case higher. Teachers' estimates deviated more than mothers' estimates from MSCA verbal and motor development scores, though in the latter case the difference between teachers and mothers were less marked. Both mothers' and teachers' difference scores (i.e. deviation of their estimates from MSCA scores) were highly correlated with the respective MSCA scores. However, when the difference scores are adjusted for shared error variance, the correlations shrink and are in most cases non-significant.     

大学生心理行为问题的识别:基于潜在剖面分析

为探索潜在剖面分析(latent profile analysis, LPA)在心理行为问题识别上的应用, 对12718名大学生进行心理普查, 并对644名学生由心理咨询师、辅导员和兼职班主任对其心理状况进行评定, 采用评定结果和阳性症状检出率作为"黄金标准"分析了诊断的敏感度与特异度。结果发现:(1)潜在剖面分析发现本研究大学生样本的心理行为问题可划分为三个亚群体:风险组、困扰组和健康组, 分别占比9.86%、19.15%和70.99%;(2)风险组表现为突出的精神症状(Z≥2.6SD), 有61.21%的被试出现阳性症状, 远高于困扰组的38.28%和健康组的8.36%;此外, 困扰组以认知与情绪症状为主;(3)潜在剖面分析方法比传统划界分数方法在敏感度上能提高8.93%~35.26%, 更为科学有效。     

Construct validity of the medical specialty preference inventory: A critical analysis

The Medical Specialty Preference Inventory (MSPI; Zimny, G.H. (1979). Manual for the Medical Specialty Preference Inventory. St. Louis, MO: St. Louis University School of Medicine), a measure of medical students’ interests, was substantively and empirically examined to identify an underlying factor structure. A factor model for the original MSPI based on 38 factors in five general areas was evaluated on a national sample of 1014 medical students and yielded poor fit to the data. Exploratory factor analyses at the item level utilizing the full pool of MSPI items produced an 11 factor solution with 88 items. Sub-scales were identified within this model and an 11-18 higher-order model and an 18 sub-scale model also were proposed. The relative fits of the three models were evaluated by confirmatory factor analysis with the 18 sub-scale model shown to be superior. This model was cross-validated on a separate sample of 1016 medical students and fit the data well. All sub-scales exhibited adequate internal consistency across samples. These findings support the need for a revised MSPI based on 18 scales. Implications of these findings for MSPI scoring practices are discussed along with future directions.     

Predictive validity of the medical specialty preference inventory

Medical schools can assist students by providing them with quality career counseling to help them choose a medical specialty. Many schools use interest inventories to help identify students’ specialty interests. This study examined the predictive validity of one such inventory, the Medical Specialty Preference Inventory (MSPI). In a longitudinal design, we used discriminant function analysis to examine how well students’ scores on the MSPI fit their chosen medical specialty one year later. The MSPI correctly predicted students’ future medical specialty choice 58.1% of the time. These results can help career advisors interpret MSPI scores, and identify students’ most likely medical specialty choice, as well as their second most likely choice.