运动情境四维成就目标定向量表的初步编制——以第十二届特奥会中国籍智力残疾运动员为被试

该研究在文献分析和访谈的基础上,确定智力残疾运动领域成就目标定向的四维结构并编制初测问卷。对400名特奥会运动员进行了施测,对数据进行项目分析、验证性因素分析和信度分析。验证性因素分析和信度分析显示,问卷具有较好的效度和信度,可以作为运动领域四维目标定向的测量工具。     

Confirmatory factor analysis of the five-item version of the Francis scale of attitude towards Christianity in adolescent students

ABSTRACT

The brief scale of Francis for religiosity (Francis-5) has shown acceptable psychometric performance in Colombian adolescents. However, a confirmatory factorial analysis (CFA) has not been performed. The objective of the researche was to make a CFA to the Francis-5 in a sample of students of Santa Marta, Colombia. A validation study was performed. 350 students between 10 and 17 years old, and 54% were female. A CFA was performed to test the dimensionality of different versions of five and four items of the scale. Authors calculated five goodness of fit indexes indices (Chi square, RMSEA, CFI, TLI, and SMSR). The Francis-5 presented as goodness-of-fit coefficients, chi squared = 18.5, gl = 5, p = .002, RMSEA = .09 (CI90% .05 to .13), CFI = .99, TLI = .99, and SMSR = .01. And the version with the best coefficients of goodness was the Francis-5 without the fourth item (‘Pray helps me a lot’) with chi squared = .55, gl = 2, p = .76, RMSEA = .00 (CI90% .00 to .07), CFI = 1.00, TLI = 1.00, and SMSR = .01. As conclusions, the dimensionality of the Francis-5 is questionable. For a version without the item 4 the data are better fit.     

人格测验中题目正反向陈述的效应

研究中将EPQ和NEO-FFI中的一半题目进行语义反转（肯定陈述的改为否定陈述,否定陈述的改为肯定陈述）,而另一半的题目陈述方向不变,形成的量表用于初测。重测时则把初测问卷中的题目全部进行语义反转。测试后得到363名大学生的正反EPQ和412名大学生的正反NEO-FFI数据。对比发现两套量表在使用正向题时信度略高,而使用反向陈述题目时效度略好;验证性因素分析发现正反向题能测量同一特质。正向题可能更易受反应偏差影响     

Factor analysis of the Spanish Burnout Inventory among public administration employees

Burnout has been recognized as an important stress‐related problem. Researchers have been troubled by some of the psychometric limitations of the questionnaires developed to evaluate burnout. This study was designed to assess the factor structure of the Spanish Burnout Inventory in a sample of 548 Brazilian public administration employees. This instrument comprises 20 items distributed in four dimensions: enthusiasm toward the job (5 items), psychological exhaustion (4 items), indolence (6 items), and guilt (5 items). The factor structure was examined through confirmatory factor analysis. To assess the factorial validity of the Spanish Burnout Inventory, four alternative models were tested. The four‐factor model obtained an adequate data fit for the sample, χ²(164) = 514.358, p < .001, RMSEA = .062, GFI = .910, NFI = .915, CFI = .940, and AIC = 606.358. The results showed that the four‐model factor of the Spanish Burnout Inventory possesses adequate psychometric properties in the Brazilian cultural context. Implications for future research and practice are also discussed.     

Development of a Facebook Addiction Scale

The Bergen Facebook Addiction Scale (BFAS), initially a pool of 18 items, three reflecting each of the six core elements of addiction (salience, mood modification, tolerance, withdrawal, conflict, and relapse), was constructed and administered to 423 students together with several other standardized self-report scales (Addictive Tendencies Scale, Online Sociability Scale, Facebook Attitude Scale, NEO-FFI, BIS/BAS scales, and Sleep questions). That item within each of the six addiction elements with the highest corrected item-total correlation was retained in the final scale. The factor structure of the scale was good (RMSEA = .046, CFI = .99) and coefficient alpha was .83. The 3-week test-retest reliability coefficient was .82. The scores converged with scores for other scales of Facebook activity. Also, they were positively related to Neuroticism and Extraversion, and negatively related to Conscientiousness. High scores on the new scale were associated with delayed bedtimes and rising times.     

女性主义认同发展量表的中文版修订

目的:修订女性主义认同发展量表(feminist identity development scale,FIDS),检验其在中国女性大学生群体中的信度和效度。方法:对1657名女性大学生施测中文版FIDS、自尊量表(the self-esteem scale,SES)和矛盾性别偏见量表(ambivalent sexism inventory,ASI)中的敌意性别偏见分量表,随后进行项目分析、信度分析、探索性因子分析、验证性因子分析和效标效度的检验。结果:修订后的中文版FIDS共有27个条目,保留了5个分量表,分别是被动接受、醒悟、融合发展、整合和积极投入,累积方差贡献率为56.18%; 五因子模型拟合较好(χ2/df=2.99,IFI=0.92,CFI=0.92,GFI=0.92,TLI=0.91,RMSEA=0.05); 中文版FIDS的内部一致性系数(Cronbach’s α)在0.71～0.89之间,分半信度在0.75～0.90之间。结论:修订后的中文版FIDS在中国女性大学生群体中具有较好的信效度,是测量女性主义认同发展水平的有效工具。     

流调中心抑郁量表在老年人群中的因素结构

本研究使用4903名老年人组成的全国样本,系统地检验了流调中心抑郁量表的因素结构。结果表明,Radloff的四因素结构、Guarnaccia等和Yen等的三因素结构对当前样本数据的拟合较好,但信度分析和相关分析显示积极情绪因素降低了总量表信度,并且与其他因素之间不支持共同的高阶因素（抑郁）,基于此,在使用量表合成总分的背景下,4个积极情绪项目不适合包含在CES-D量表中。随后,本研究检验了剔除积极情绪项目后量表各因素结构的拟合情况,发现积极情绪因素对量表因素结构的拟合水平贡献不大。结合拟合指数和Radloff对量表的界定,16项目的三因素结构最适合于我国老年人群,并且,这一因素结构在老年人群中具有跨性别的恒等性。     

Detecting Misspecified Multilevel Structural Equation Models with Common Fit Indices: A Monte Carlo Study

This study investigated the sensitivity of common fit indices (i.e., RMSEA, CFI, TLI, SRMR-W, and SRMR-B) for detecting misspecified multilevel SEMs. The design factors for the Monte Carlo study were numbers of groups in between-group models (100, 150, and 300), group size (10, 20, 30, and 60), intra-class correlation (low, medium, and high), and the types of model misspecification (Simple and Complex). The simulation results showed that CFI, TLI, and RMSEA could only identify the misspecification in the within-group model. Additionally, CFI, TLI, and RMSEA were more sensitive to misspecification in pattern coefficients while SRMR-W was more sensitive to misspecification in factor covariance. Moreover, TLI outperformed both CFI and RMSEA in terms of the hit rates of detecting the within-group misspecification in factor covariance. On the other hand, SRMR-B was the only fit index sensitive to misspecification in the between-group model and more sensitive to misspecification in factor covariance than misspecification in pattern coefficients. Finally, we found that the influence of ICC on the performance of targeted fit indices was trivial.     

创造性科学问题提出材料的编制及效度研究

本研究通过对收集的科学发明创造实例进行整理,测量,访谈,再测量,建立拥有多项指标的创造性科学问题提出材料库,以期为研究创造性科学问题提出提供有效的测试工具。在材料库的建立过程中,对问题提出中的原型启发效应进行了探讨,结果表明,原型对创造性问题提出具有稳定的启发效应,并且这种启发效应在具有理科背景的个体上有更明显的效果。此外,创造性科学问题提出分数不仅与创造性成就倾向显著相关,且在企业环境中也显示出了对于不同创造力群体的有效鉴别     

Adaptation of the "Recovery Experience Questionnaire" in a Spanish sample

The aim of this work was to examine the psychometric properties of the Spanish version of the "Recovery Experience Questionnaire" developed by Sonnentag and Fritz. The sample was made up of 941 professionals from the security sector. Results from the exploratory factor analysis suggested the possibility of considering a four-factor structure. Confirmatory factor analysis showed that the four-factor model with three correlated items each provided the best fit to the data (CFI=0.97, GFI=0.96, NNFI=0.96, RMSEA=0.05 y AIC=171.76). Therefore, the questionnaire maintains the four recovery experiences -psychological detachment from work, relaxation, mastery experiences and control over leisure time--but with 12 items instead of 16 items as in the original scale. Reliability analysis showed good internal consistency for this scale with Cronbach alpha coefficients for the factors ranging from .75 to .88. Significant correlations were found between the recovery experiences and various external variables, providing evidence of construct validity. Thus, this Spanish version shows adequate psychometric properties and may help to achieve a better understanding of this topic.     

Item response theory analyses of the Delis-Kaplan Executive Function System card sorting subtest

In the current study, we examined the dimensionality of the 16-item Card Sorting subtest of the Delis-Kaplan Executive Functioning System assessment in a sample of 264 native English-speaking children between the ages of 9 and 15 years. We also tested for measurement invariance for these items across age and gender groups using item response theory (IRT). Results of the exploratory factor analysis indicated that a two-factor model that distinguished between verbal and perceptual items provided the best fit to the data. Although the items demonstrated measurement invariance across age groups, measurement invariance was violated for gender groups, with two items demonstrating differential item functioning for males and females. Multigroup analysis using all 16 items indicated that the items were more effective for individuals whose IRT scale scores were relatively high. A single-group explanatory IRT model using 14 non-differential item functioning items showed that for perceptual ability, females scored higher than males and that scores increased with age for both males and females; for verbal ability, the observed increase in scores across age differed for males and females. The implications of these findings are discussed.     

Distinguishing Between Perceived Behavioral Control and Self-Efficacy in the Domain of Academic Achievement Intentions and Behaviors

We examined whether perceived behavioral control (PBC) and self-efficacy (S-E) can be distinguished empirically, and whether they make different contributions to the prediction of intentions and behavior. The behavioral criterion was performance in 3 high-school examinations. Measures of attitude, subjective norm, PBC, S-E, and intention were taken before the examinations. Grade achieved served as the behavioral measure. Factor analysis of items intended to measure PBC and S-E extracted 2 factors: confidence in ability to achieve the behavioral outcome, and belief that the outcome can be influenced by own efforts. Scores on these factors were labeled S-E and perceived control, respectively. Behavior was predicted better by S-E than by intentions, and intentions were more closely related to S-E than to attitudes, subjective norms, or perceived control.     

Assessing PTSD in the military: Validation of a scale distributed to Danish soldiers after deployment since 1998

Since 1998, soldiers deployed to war zones with the Danish Defense (≈31,000) have been invited to fill out a questionnaire on post‐mission reactions. This provides a unique data source for studying the psychological toll of war. Here, we validate a measure of PTSD‐symptoms from the questionnaire. Soldiers from two cohorts deployed to Afghanistan with the International Security Assistance Force (ISAF) in 2009 (ISAF7, N = 334) and 2013 (ISAF15, N = 278) filled out a standard questionnaire (Psychological Reactions following International Missions, PRIM) concerning a range of post‐deployment reactions including symptoms of PTSD (PRIM‐PTSD). They also filled out a validated measure of PTSD‐symptoms in DSM‐IV, the PTSD‐checklist (PCL). We tested reliability of PRIM‐PTSD by estimating Cronbach's alpha, and tested validity by correlating items, clusters, and overall scale with corresponding items in the PCL. Furthermore, we conducted two confirmatory factor analytic models to test the factor structure of PRIM‐PTSD, and tested measurement invariance of the selected model. Finally, we established a screening and a clinical cutoff score by application of ROC analysis. We found high internal consistency of the PRIM‐PTSD (Cronbach's alpha = 0.88; both cohorts), strong item‐item (0.48–0.83), item‐cluster (0.43–0.72), cluster‐cluster (0.71–0.82) and full‐scale (0.86–0.88) correlations between PRIM‐PTSD and PCL. The factor analyses showed adequate fit of a one‐factor model, which was also found to display strong measurement invariance across cohorts. ROC curve analysis established cutoff scores for screening (sensitivity = 1, specificity = 0.93) and clinical use (sensitivity = 0.71, specificity = 0.98). In conclusion, we find that PRIM‐PTSD is a valid measure for assessing PTSD‐symptoms in Danish soldiers following deployment.     

Social Cognitive Determinants of Blood Donation

This article reports two studies designed to test a theory of planned behavior-based model of blood donation. In Study 1 ( n = 136), self-efficacy and self-identity accounted for unique variance in behavioral intention. Study 2 ( n = 172) extended Study 1: self-efficacy, perceived control over behavior (PCB), self-identity, and moral norm were all independently predictive of intention; behavioral intention predicted a proxy measure of behavioral enaction. Both studies provided evidence to support a distinction between self-efficacy and PCB, and for the inclusion of self-identity and moral norm into the model. Belief-based measures discriminated intenders from nonintenders, and beliefs that accounted for unique variance in self-efficacy and PCB were identified. The findings are discussed in relation to using models such as the theory of planned behavior to intervene in social and health behaviors.     

What Do Confidence Items Measure in the Physical Activity Domain?1

The study's purpose was to examine the measurement domain of confidence items used in physical activity research. We hypothesized that confidence items, including a phrase to hold motivation constant, would differ from standard confidence items. Participants (N = 248 students) completed confidence items, a thought‐listing procedure, and a 2‐week self‐report of physical activity. Results showed that confidence items with motivation held constant loaded exclusively on one factor, but standard confidence items were factor complex with intention. Correlations with physical activity intention and behavior were larger for confidence items than confidence items with motivation held constant. Finally, the thought‐listing procedure identified that 3 of the 7 reasons for answering confidence items were outside the intended measurement domain of self‐efficacy.     

Bifactor and item response theory analyses of interviewer report scales of cognitive impairment in schizophrenia

A psychometric analysis of 2 interview-based measures of cognitive deficits was conducted: the 21-item Clinical Global Impression of Cognition in Schizophrenia (CGI-CogS; Ventura et al., 2008), and the 20-item Schizophrenia Cognition Rating Scale (SCoRS; Keefe et al., 2006), which were administered on 2 occasions to a sample of people with schizophrenia. Traditional psychometrics, bifactor analysis, and item response theory methods were used to explore item functioning and dimensionality and to compare instruments. Despite containing similar item content, responses to the CGI-CogS demonstrated superior psychometric properties (e.g., higher item intercorrelations, better spread of ratings across response categories) relative to the SCoRS. The authors argue that these differences arise mainly from the differential use of prompts and how the items are phrased and scored. Bifactor analysis demonstrated that although both measures capture a broad range of cognitive functioning (e.g., working memory, social cognition), the common variance on each is overwhelmingly explained by a single general factor. Item response theory analyses of the combined pool of 41 items showed that measurement precision is peaked in the mild to moderate range of cognitive impairment. Finally, simulated adaptive testing revealed that only about 10 to 12 items are necessary to achieve latent trait level estimates with reasonably small standard errors for most individuals. This suggests that these interview-based measures of cognitive deficits could be shortened without loss of measurement precision.     

On the Computation of the RMSEA and CFI from the Mean-And-Variance Corrected Test Statistic with Nonnormal Data in SEM

A new type of nonnormality correction to the RMSEA has recently been developed, which has several advantages over existing corrections. In particular, the new correction adjusts the sample estimate of the RMSEA for the inflation due to nonnormality, while leaving its population value unchanged, so that established cutoff criteria can still be used to judge the degree of approximate fit. A confidence interval (CI) for the new robust RMSEA based on the mean-corrected (“Satorra-Bentler”) test statistic has also been proposed. Follow up work has provided the same type of nonnormality correction for the CFI (Brosseau-Liard & Savalei, 2014). These developments have recently been implemented in lavaan. This note has three goals: a) to show how to compute the new robust RMSEA and CFI from the mean-and-variance corrected test statistic; b) to offer a new CI for the robust RMSEA based on the mean-and-variance corrected test statistic; and c) to caution that the logic of the new nonnormality corrections to RMSEA and CFI is most appropriate for the maximum likelihood (ML) estimator, and cannot easily be generalized to the most commonly used categorical data estimators.     

The Maslach Burnout Inventory: Factorial validity and consistency across occupational groups in Norway

The present study tested the factorial validity of the Maslach Burnout Inventory among 1590 human service workers. Confirmatory factor analyses of the total sample as well as multi‐group analyses and analyses of each of seven professional groups separately, indicated that the original three‐factor model of the MBI provided a reasonable fit to the data. However, a factorial model with items 12 and 16 removed provided a superior fit, with two of the fit indices over .90 and an RMSEA value of .06. The results of a multi‐group analyses for the seven occupational groups showed a slightly poorer fit to the data than in the total sample. With a few exceptions, the fit indices of the models tested for each subsample separately indicated similar results, and the proposed 20‐item model also provided the best fit for the subsamples. Internal consistencies of the subscales of the MBI were acceptable, and test‐retest reliability indicated stability of scores over a 6‐month interval. These results indicated that the proposed three‐factor structure of the MBI based on 20 items can be replicated in the total sample as well as across occupations within human services in Norway.     

The Problem with Having Two Watches: Assessment of Fit When RMSEA and CFI Disagree

The root mean square error of approximation (RMSEA) and the comparative fit index (CFI) are two widely applied indices to assess fit of structural equation models. Because these two indices are viewed positively by researchers, one might presume that their values would yield comparable qualitative assessments of model fit for any data set. When RMSEA and CFI offer different evaluations of model fit, we argue that researchers are likely to be confused and potentially make incorrect research conclusions. We derive the necessary as well as the sufficient conditions for inconsistent interpretations of these indices. We also study inconsistency in results for RMSEA and CFI at the sample level. Rather than indicating that the model is misspecified in a particular manner or that there are any flaws in the data, the two indices can disagree because (a) they evaluate, by design, the magnitude of the model's fit function value from different perspectives; (b) the cutoff values for these indices are arbitrary; and (c) the meaning of “good” fit and its relationship with fit indices are not well understood. In the context of inconsistent judgments of fit using RMSEA and CFI, we discuss the implications of using cutoff values to evaluate model fit in practice and to design SEM studies.     

The Communities That Care (CTC) Family Attachment Scale: Measurement Invariance Across Family Structures

Familial protective factors are an integral part of prevention approaches aimed at problematic behaviour in adolescents. However, there is scarce evidence on the role of familial protective factors in families deviating from the two-parent family configuration. For evaluating targeted (preventive) interventions, a reliable and valid measurement of familial protective factors is crucial. We investigated the factor structure of the Communities That Care (CTC) Family Attachment Scale and tested its measurement invariance in different family structures. Adolescents (n?=?2.459, grades 6–11) from Lower Saxony, Germany filled in the German version of the CTC Youth Survey. Our analyses focused on the CTC Family Attachment Scale measuring the adolescent’s attachment to the mother and the father with six items. We evaluated the postulated unidimensional structure of the scale by confirmatory factor analysis (CFA) and tested the measurement invariance using multigroup factor analyses across different family structures (two-parent family/single-parent family). We used SPSS V.23 and the R packages lavaan and semTools. The two-factor solution for the CTC Family Attachment Scale with one factor representing attachment to the mother and one indicating attachment to the father had an adequate model fit in the total sample (χ²(5)?=?29.938; p?<?.001; CFI?=?.996; TLI?=?.988; RMSEA?=?.050, SRMR?=?.019). This two-factor solution of the CTC Family Attachment Scale showed strong measurement invariance regarding adolescents living in a two-parent family vs. those living with a single parent. The two-factor CTC Family Attachment Scale appears to be a suitable measure to assess family attachment in both two-parent and single-parent families with German adolescents.