Understanding Normative Growth and Development in Aging

No abstract available for this article.     

The classification accuracy of four problem gambling assessment instruments in population research

Improved methodology was used to re-examine the weak correspondence between problem and pathological gamblers identified in population surveys and subsequent classification of these individuals in clinical interviews. The SOGS-R, the CPGI, the NODS and the Problem and Pathological Gambling Measure (PPGM), as well as questions about gambling participation and expenditures, were administered to a total of 7272 adults. Two clinicians then assessed each person's status, based on comprehensive written profiles derived from these questionnaire responses. Instrument classification was then compared to clinical classification. All four instruments correctly classified most non-problem gamblers (i.e. had good to excellent sensitivity, specificity and negative predictive power). However, the PPGM was the only instrument with good classification of problem gamblers (i.e. excellent sensitivity and positive predictive power). The CPGI and SOGS-R had weak positive predictive power and the NODS had only adequate sensitivity and positive predictive power. Improvement in the classification accuracy of the CPGI occurred when a 5+ cut-off was used and when a 4+ cut-off was used with the SOGS. In general, the classification accuracy of the NODS, SOGS and CPGI is better than prior research suggested but overall accuracy is still modest. With adjusted cut-offs, all three instruments are reasonably congruent with clinical ratings.     

Decision Making for Animal Health and Welfare: Integrating Risk‐Benefit Analysis with Prospect Theory

This study integrated risk‐benefit analysis with prospect theory with the overall objective of identifying the type of management behavior represented by farmers’ choices of mastitis control options (MCOs). Two exploratory factor analyses, based on 163 and 175 Swedish farmers, respectively, highlighted attitudes to MCOs related to: (1) grouping cows and applying milking order to prevent spread of existing infection and (2) working in a precautionary way to prevent mastitis occurring. This was interpreted as being based on (1) reactive management behavior on detection of udder‐health problems in individual cows and (2) proactive management behavior to prevent mastitis developing. Farmers’ assessments of these MCOs were found to be based on asymmetrical evaluations of risks and benefits, suggesting that farmers’ management behavior depends on their individual reference point. In particular, attitudes to MCOs related to grouping cows and applying milking order to prevent the spread of mastitis once infected cows were detected were stronger in the risk domain than in the benefit domain, in accordance with loss aversion. In contrast, attitudes to MCOs related to working in a precautionary way to prevent cows from becoming infected in the first place were stronger in the benefit domain than in the risk domain, in accordance with reverse loss aversion. These findings are of practical importance for farmers and agribusiness and in public health protection work to reduce the current extensive use of antibiotics in dairy herds.     

Screening for disruptive behavior in adolescents at risk using the strengths and difficulties questionnaire

Disruptive behavior in adolescents is burdensome and may continue into adulthood if left unidentified. The strengths and difficulties questionnaire (SDQ) can screen for disruptive behavior, but its psychometric properties in high-risk samples and ability to predict delinquency warrant further investigation. In 1022 adolescents, we investigated the predictive validity (on average 1.9 years after screening) of the self-reported SDQ on disruptive behavior disorders and delinquency, measured with multi-informant questionnaires and structured interviews. We compared three scoring methods: total, subscale, and dysregulation profile scoring. In this high-risk sample, SDQ subscale scores predicted disruptive behavior outcomes best. Predictive values for the specific types of delinquency were small. Concluding, the SDQ can be used in high-risk settings for early identification of youth with disruptive behavior.     

Psychometric Testing of the FACES III with Rural Adolescents

This study tests the validity and reliability of the Family Adaptability and Cohesion Scale III (FACES III) in two samples of rural adolescents. The underlying theory is the linear 3-D circumplex model. The FACES III was administered to 1,632 adolescents in Grades 7 through 12 in two counties in a rural western state. The FACES III Scale and the Cohesion Scale demonstrated high internal consistency, although the Cohesion Scale was more consistently predictive of self-esteem and higher in internal consistency than was the Adaptability Scale. Findings confirmed previous methodological critiques regarding linearity, the correlation of factors, and internal consistency. The presence of two orthogonal factors was consistent with the original 3-D circumplex model, but items from the Adaptability Scale relating to changing of rules for children's roles and egalitarianism tended to be problematic.     

Psychometric analysis of the UK Health and Safety Executive's Management Standards work-related stress Indicator Tool

Abstract

Numerous tools have been developed that attempt to measure work-related stress and working conditions, but few practical instruments in the literature have been found to have a reliable psychometric factor structure. In the UK, the Health and Safety Executive (HSE) Management Standards (MS) Indicator Tool is increasingly used by organizations to monitor working conditions that can lead to stress. In Health and Safety Executive (2004), a factor analysis was conducted demonstrating the reliability of the scales. However, the authors acknowledged that direct reassessment of the same factor structure was impossible as the questionnaire was split into two separate modules for data collection. Furthermore, the tool is designed to enable comparisons between as well as within organizations to take place, yet reliability has only previously been tested at the individual level. The current study is the first to examine the factor structure of the HSE MS Indicator Tool using organizational-level data. Data collected from 39 UK organizations (N=26,382) was used to perform a first-order Confirmatory Factor Analysis (CFA) on the original 35-item seven-factor measurement scale. The results showed an acceptable fit to the data for the instrument. A second-order CFA was also performed to test if the Indicator Tool contains a higher order uni-dimensional measure of work-related stress. These findings also revealed an acceptable fit to the data, suggesting that it may be possible to derive a single measure of work-related stress. Normative data comprising tables of percentiles from the organizational data are provided to enable employers to compare their organizational averages against national benchmarks.     

高校教师心理健康状况调查与分析研究

高校教师心理健康状况,不仅影响教师自身健康和对生活的愉悦度、成功感,而且直接影响到大学生的成长、成才和心理健康,影响到教学、人事制度的改革以及学校稳定和可持续发展.文章通过以湖北工业大学、武汉科技学院教师为调查研究对象,运用心理测量的方法,探析高校教师的心理健康状况,试图为高校教学管理和人事制度改革提供有益的参考.     

Does Weighting Capture What’s Important? Revisiting Subjective Importance Weighting with a Quality of Life Measure

The present study evaluated subjective importance weighting using data collected with the Injection Drug User Quality of Life Scale (IDUQOL). Weighted and unweighted IDUQOL scores from 241 adults were correlated with convergent, discriminant, and criterion measures. Regression analysis was used to examine the contribution of importance ratings to scores on a global measure of life satisfaction and the corrected weighted IDUQOL total scores. Overall, the results showed that weighted scores did not perform better than unweighted scores in measuring quality of life. However, the mean satisfaction ratings for important domains correlated significantly higher with convergent measures than did the mean satisfaction ratings for unimportant domains. This finding suggests further attention needs to be paid to the meaning and measurement of subjective importance and how it may be incorporated more effectively into measures of quality of life.