Using individual differences to predict job performance: correcting for direct and indirect restriction of range

The present study investigates the relationship between individual differences, indicated by personality (FFM) and general mental ability (GMA), and job performance applying two different methods of correction for range restriction. The results, derived by analyzing meta-analytic correlations, show that the more accurate method of correcting for indirect range restriction increased the operational validity of individual differences in predicting job performance and that this increase primarily was due to general mental ability being a stronger predictor than any of the personality traits. The estimates for single traits can be applied in practice to maximize prediction of job performance. Further, differences in the relative importance of general mental ability in relation to overall personality assessment methods was substantive and the estimates provided enables practitioners to perform a correct utility analysis of their overall selection procedure.     

Automatic question generation and answer assessment for subjective examination

Automatic generation of questions and evaluating their answers is a highly challenging task in natural language processing and educational technology. This work focuses on generating subjective questions and also an evaluation system is suggested for assessing the answers. For generating the questionnaires, key-phrases are extracted from the course curriculum (syllabus). Next, based on the key-phrases, different types of subjective questions are generated. Finally, the evaluation of student’s responses is achieved using a multi-criteria-decision-making approach. It uses a set of model answers taken from different textbooks and subject experts to evaluate the answers. Multiple measures are used to assess the answers by comparing them with this model set. The results of the profound system reveal that the automated appraisal process can reduce the manual effort of the human.     

Do Religious Affirmations,Religious Commitments,or General Commitments Mitigate the Negative Effects of Exposure to Thin Ideals?

Western pressures for thinness tell women that having a thin body makes a person worthy. Two factors that may provide alternative means of self‐worth are religion and general commitment to a meaningful goal. This study experimentally tested whether religious‐affirming statements buffered against exposure to thin models for everyone, or only for women with strong religious commitment. It also examined the relationships among religious commitment, general commitment, and body satisfaction. One hundred eleven women at a religious‐affiliated college completed the commitment scales and baseline body measures. They were later randomly assigned to read one set of affirming statements, after which they then completed body measures again. Results showed that religious commitment buffered against exposure to ultrathin models. Women who were strongly religiously committed and who read religious statements that affirmed the body showed higher body esteem. Correlation results showed that general commitment was positively related to body esteem, body satisfaction, and healthy dieting. Religious commitment was positively related to body esteem and body satisfaction. Results are discussed in relation to schemas and depth of processing. Practical implications are discussed.     

腹腔镜胆囊切除术中不同麻醉方式对眼内压的影响

探讨全麻喉罩复合硬膜外阻滞麻醉对腹腔镜胆囊切除患者眼内压（IOP）的影响,60例患者行腹腔镜胆囊切除患者根据麻醉方式的不同随机分为全麻喉罩复合硬膜外阻滞组（A 组）与气管插管全麻组（B 组）,每组各30例。记录麻醉前（T0）、气管插管（置入喉罩）前（T1）、气管插管（置入喉罩）后即刻（T2）、CO2气腹后10min（T3）、术毕患者清醒拔除气管导管（喉罩）前（T4）时的 IOP 。结果显示：喉罩全麻复合硬膜外阻滞用于腹腔镜胆囊切除,与单纯气管插管全麻比较,可有效降低患者在诱导插管、CO2气腹与患者清醒吸痰、拔管所引起的 IOP 升高反应（P＜0．05）。     

Knowledge and Concern about STIs/HIV and Sociodemographic Variables Associated with Getting Tested for HIV Among the General Population in Spain

HIV testing is important in terms of prevention and treatment. However, HIV testing rates in the Spanish general population remains low. Therefore, HIV testing promotion constitutes a key issue. A high level of knowledge about HIV/AIDS is associated with having been tested for HIV. The general aim of this study was to determine the prevalence of people who had ever been tested for HIV in Spain. The sample consisted of 1,106 participants from the general population — 60.0% females and 40.0% males — aged between 17 and 55 years old. The assessment instruments were a questionnaire on sociodemographic data and HIV testing, a scale of knowledge about STIs and HIV/AIDS, and a scale of concern about STIs/HIV. Results showed that greater knowledge about STIs and HIV was associated with a greater likelihood of being tested for HIV (OR = .77; 95.0% CI = .73–.82; p < .05). In addition, higher concern about HIV/AIDS decreased the likelihood of not having been tested for HIV (OR = .87; 95.0% CI = .83–.92; p < .05). In fact, the higher participants concern about STIs was, the lower their likelihood of not having been tested for HIV was (OR = .87; 95.0% CI = .83–.91; p < .05). It is necessary to promote HIV testing in the general population as well as to consider their socio-demographic and psychological characteristics.     

A general proof of consistency of heuristic classification for cognitive diagnosis models

The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633–665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is guaranteed when non‐parametric classification methods are used. These conditions have only been proven for the Deterministic Input Noisy Output AND gate model. For other cognitive diagnosis models, no theoretical legitimization exists for using non‐parametric classification techniques for assigning examinees to proficiency classes. The specific statistical properties of different cognitive diagnosis models require tailored proofs of the conditions of the Asymptotic Classification Theory of Cognitive Diagnosis for each individual model – a tedious undertaking in light of the numerous models presented in the literature. In this paper a different way is presented to address this task. The unified mathematical framework of general cognitive diagnosis models is used as a theoretical basis for a general proof that under mild regularity conditions any cognitive diagnosis model is covered by the Asymptotic Classification Theory of Cognitive Diagnosis.     

Underlying correlation structures of parental stress, general health and anxiety

A partial least square regression (PLSR) was performed on the Swedish Parenthood Stress Questionnaire (SPSQ) sum score and subscales on incompetence, role restriction, social isolation, spouse relationship and health problems, using 42 items from the General Health Questionnaire (GHQ) and 20 items from the State Anxiety Inventory (STAI-X1). The dataset contained 227 fathers and 301 mothers of children aged 1.0-6.6 years from a population-based study on parental psychological distress in the general Norwegian population, and all items correlated positively with SPSQ. Subscales on spouse relationship, incompetence, social isolation and role restriction related to items on state anxiety and depression. The SPSQ subscale on health problems related to GHQ items on somatic symptoms and social dysfunction. The STAI-X1 item "not feeling rested" had a particularly important effect on parental stress. Underlying correlation structures between parental stress and items from STAI-X1 and GHQ were explored, but only the SPSQ sum score could be acceptably predicted. PLSR as a statistical methodology was found useful for health and psychometric data.