Characteristic Factor Structures of the Japanese Version of the State-Trait Anxiety Inventory: Coexistence of Positive-Negative and State-Trait Factor Structures

Previous factor studies of the State-Trait Anxiety Inventory (STAI; Spielberger, Gorsuch, & Lushene, 1970) have reported certain typical factors that are state-trait (S-T) 2-factor solutions and positively-negatively (P-N) worded item 2-factor solutions in addition to 4-factor solutions (positively and negatively worded state factors, positively and negatively worded trait factors). We explored the possibility that these factor structures are included in a factor space. Responses to the Japanese version of the STAI in a sample of 848 male workers were factor analyzed. The first-order factors obtained from principal-component analysis were almost equal to the previous 4 factors, except for a minor factor, and their second-order factors were the P-N factors. However, the S-T factors were also obtained from the same first-order factors by the oblique Procrustes rotation. Moreover, coexistence of these two 2-factor structures was determined in the same factor space by the orthogonal Procrustes rotation.     

Equivalencies regarding the measurement and constructs of self-esteem and major life events in an Asian/Pacific islander sample

Construct, scalar, and functional measurement equivalencies of the Rosenberg Self-Esteem Scale (RSES) and Major Life Events checklist (MLE) and the constructs assessed were investigated across groups differentiated on Hawaiian/part-Hawaiian and non-Hawaiian (e.g., Caucasian, Filipino, Hispanic, Japanese, and mixed/2 or more) ethnicity and gender. Initial results from maximum likelihood factoring with promax rotation showed that RSES negatively worded Item 5 loaded with the positively worded Items 1, 2, 4, 6, and 7 on 1 of 2 factors for Hawaiian/part-Hawaiian female participants. Similarly, negatively worded Item 8 and the same positively worded items comprised 1 of 2 factors for non-Hawaiian male participants. For the other 2 Ethnicity x Gender groups, factors were respectively comprised of the 5 positively and 5 negatively worded RSES items. Construct equivalence or simple (2-factor) structure underlying the RSES was indicated across the 4 groups after Items 5 and 8 were excluded from a subsequent factoring procedure. Simple structure showed that Factor 1 comprised the positively worded Items 1, 2, 4, 6, and 7, and the remaining negatively worded Items 3, 9, and 10 loaded on Factor 2. Scalar equivalence of the self-esteem and major life events measures was supported by the statistical nonsignificance of the Major Life Events x Ethnicity x Gender interaction effect in multiple regression models. The consistency in the absolute size and direction of the intercorrelations between overall self-esteem, self-esteem Factors 1 and 2, and major life events variables indicated the functional equivalence of respective measures and constructs assessed. Measurement equivalency findings concerning the RSES and MLE, the constructs measured, and their utility versus caution against their use in multiethnic studies were discussed.     

Differences in State-Trait Anxiety Inventory scores for ethnically diverse adolescents in Hawaii

This study examined the association between anxiety and 5 predictor variables: ethnicity (Caucasian, Native Hawaiian/part Hawaiian, Japanese, other), gender, grade level (9-12th), main wage earners' educational level, and State-Trait Anxiety Inventory (STAI; C. D. Spielberger, R. L. Gorsuch, & R. E. Lushene, 1970) factors for a diverse group of students. Hawaiian students were found to have significantly higher levels of anxiety than Japanese students; however, ethnicity was not a significant predictor when gender, grade level, and main wage earners' education were statistically held constant. An interaction between ethnicity and STAI factor scores indicated an atypical pattern for Caucasians. Female students scored significantly higher than male students, and main wage earners' education predicted amount of anxiety. In general, these 2 associations remained significant when ethnicity and grade level were held constant. An interaction between gender and STAI factor scores indicated that the difference between female and male students was relatively larger for positively (as opposed to negatively) worded State items and for negatively (as opposed to positively) worded Trait items. Overall, the findings suggested that apparent ethnic differences in anxiety levels may be due to causal variables related to other sociodemographic variables. Factor scores in the form of positively versus negatively worded items should be considered an important variable; using only a global STAI composite as a measure of anxiety will mask the differential effects of the STAI factor scores. Further research is needed to determine the generalizability of these findings to other groups and to provide knowledge on direct causal variables that may account for a greater percentage of variance.     

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     

The ubiquity of common method variance: The case of the Big Five

The factor structures of the International Personality Item Pool (IPIP) and NEO-FFI Big Five questionnaires were examined via confirmatory factor analyses. Analyses of IPIP data for five samples and NEO data for one sample showed that a CFA model with three method bias factors, one influencing all items, one influencing negatively worded items, and one influencing positively worded items fit the data significantly better than models without method factors or models with only one method factor . With the method factors estimated, our results indicated that the Big Five dimensions may be more nearly orthogonal than previously demonstrated. Implications of the presence of method variance in Big Five scales are discussed.     

Cross-cultural investigation of the Questionnaire of Smoking Urges in American and Spanish smokers

This study evaluated the factor structure of the Questionnaire of Smoking Urges (QSU) across American and Spanish smokers. Using confirmatory factor analyses, the fits of one-, two-, and four-factor models of smoking craving in American and Spanish data sets were compared. The two-factor model provided the best fit in both samples. However, negatively worded items confounded the interpretation of the two-factor structure in both the American and Spanish data. The first factor had positively and negatively worded items, whereas the second had only positively worded items. The two-factor structure was reexamined, removing either the positively or the negatively worded items. Using only positively worded items resulted in a loss of fit, whereas using only negatively worded items improved model fit substantially. Thus, the results supported the generalization of smoking craving across Spanish and American smokers and suggested that negatively worded items play a larger role in the two-factor structure of the QSU than originally thought.     

项目表述效应的统计控制：以中文版生活定向测验为例

本研究以中文版生活定向测验（LOT-R）为例,使用CTCM和CTCU方法进行建模,旨在探讨中文表述的量表中是否存在项目表述效应以及影响项目表述效应的特质因素。采用中文版生活定向测验等量表组成的问卷对334名大学生进行测试。结果表明,中文版LOT-R存在项目表述效应,是一种反向题的项目表述效应,也可称为语言标签效应;在分离了反向题项目表述效应后,发现中文版LOT-R只存在乐观因子,而不再有悲观因子。这表明乐观-悲观同属于一种人格特质,而非两种不同的人格特质;反向题项目表述效应是一种结构性误差,会导致量表结构的扭曲。研究还发现担心错误和父母期望与反向题项目表述效应存在显著的负相关,表明越是担心错误或父母期望水平越高的被试,他们对反向题的项目表述效应（语言标签效应）越小。社会赞许性对反向题项目表述效应没有影响。     

An examination of the wording effect in the Rosenberg Self-Esteem Scale among culturally Chinese people

Previous psychometric studies of the Rosenberg Self-Esteem Scale (RSES; 1965) have shown that items with positive and negative words tend to form 2 factors instead of a single factor for global self-esteem. Recent studies using confirmatory factor analysis have indicated that there is an additional method effect behind negatively worded items. However, researchers conducted these studies using Western participants. Because J. L. Farh and B. S. Cheng (1997) suggested that culturally Chinese people tend to exhibit a modesty bias in self-evaluation, especially on positively worded items, researchers may infer that a wording effect of positively worded items would be evident for culturally Chinese people. The author examined the wording effect in the RSES for culturally Chinese people by comparing different confirmatory factor models. The author analyzed data from 2 independent samples of students at the National Taiwan University (ns = 393, 441) and a national sample of juniors recruited from 140 universities and colleges in Taiwan in 2004 (n = 28,862). Results showed that in addition to a global factor for self-esteem, method effects of positively and negatively worded items should also be specified for a model fitting culturally Chinese people.     

Recovering Substantive Factor Loadings in the Presence of Acquiescence Bias: A Comparison of Three Approaches

Researchers are often advised to write balanced scales (containing an equal number of positively and negatively worded items) when measuring psychological attributes. This practice is recommended to control for acquiescence bias (ACQ). However, little advice has been given on what to do with such data if the researcher subsequently wants to evaluate a 1-factor model for the scale. This article compares 3 approaches for dealing with the presence of ACQ bias, which make different assumptions: an ipsatization approach based on the work of Chan and Bentler (CB; 1993), a confirmatory factor analysis (CFA) approach that includes an ACQ factor with equal loadings (Billiet & McClendon, 2000; Mirowsky & Ross, 1991), and an exploratory factor analysis (EFA) approach with a target rotation (Ferrando, Lorenzo-Seva, & Chico, 2003). We also examine the “do nothing” approach which fits the 1-factor model to the data ignoring the presence of ACQ bias. Our main findings are that the CFA method performs best overall and that it is robust to the violation of its assumptions, the EFA and the CB approaches work well when their assumptions are strictly met, and the “do nothing” approach can be surprisingly robust when the ACQ factor is not very strong.     

项目表述效应对人格测验信度和效标效度的影响——以核心自我评价量表(CSES)为例

项目表述效应是指由项目表述方式的差异引起的与测量内容无关的系统变异,项目表述效应模型的统计本质是一种双因子模型。本研究以核心自我评价量表(CSES)为例,探讨项目表述效应对人格测验信效度的影响。采用核心自我评价量表、生活满意度量表和积极情感消极情感量表对340名“蚁族”进行测查。结果表明,CSES在核心自我评价特质以外,还存在一个反向题项目表述效应因子;忽视项目表述效应对CSES的同质性信度和效标关联效度有重要影响：高估CSES的同质性信度,低估核心自我评价与生活满意度、积极情感的正相关,高估核心自我评价与消极情感的负相关。     

Modeling the Balanced Inventory of Desirable Responding: Evidence in Favor of a Revised Model of Socially Desirable Responding

Paulhus (1984) proposed a 2-factor model of socially desirable responding (SDR) and created the Balanced Inventory of Desirable Responding (BIDR) to capture the 2 dimensions: self-deceptive enhancement and impression management. However, the 2-factor model has yet to be supported via confirmatory factor analysis (CFA) of the BIDR. Paulhus and Reid (1991) proposed a revised model of SDR, which bifurcated the self-deceptive enhancement dimension into 2 factors: self-deceptive enhancement (SDE; positively keyed items) and self-deceptive denial (SDD; negatively keyed items). Thus, it was considered useful to test the revised SDR model on the BIDR, as this might have implications for the manner in which the BIDR should be scored. Additionally, as the BIDR subscales might be positively correlated, it was considered useful from a both a theoretical and practical perspective to test the possibility that the BIDR might measure a general SDR process. Based on a sample of 466 adults, Paulhus and Reid's revised model of SDR was largely supported when tested via CFA on a bifactor model, which included a first-order general SDR factor and 2 nested factors. Thus, applied researchers might consider using total BIDR composite scores, a self-deceptive enhancement composite score (positively keyed items), and impression management composite scores. However, ideally, researchers would use a bifactor model to test substantive hypotheses, as the bifactor model partitions true score variance into unique sources, which facilitates less ambiguous interpretations of effects.     

State vs trait anxiety: A case study in confirmatory factor analysis

The State-Trait Anxiety Inventory (STAI; Spielberger et al., 1970) originally divided anxiety into two factors: state anxiety, reflecting how an individual currently feels, and trait anxiety, reflecting how an individual generally feels. Recently, however, Spielberger revised his position to separate the presence and absence of anxiety symptoms within state and trait factors, yielding a hypothetical correlated 4-factor structure (Spielberger et al., 1980). Endler and Magnusson (1965) and Endler et al. (1976) have challenged the state vs trait distinction based upon their own factor analytical results. Since both sets of investigations used exploratory approaches, which do not postulate a particular factor structure, these studies do not provide an explicit test of the state vs trait distinction. A confirmatory factor analytic approach was used in the present study to evaluate Spielberger's 4-factor hypothesis. The subjects were large samples of male air force trainees and high school students for whom STAI data were available. The results of these confirmatory analyses indicated that the factors identified in exploratory analysis by Spielberger and his colleagues accounted for the data quite well.     

Factor structure of the Penn State Worry Questionnaire: examination of a method factor

The Penn State Worry Questionnaire (PSWQ) was originally designed as a unifactorial measure of pathological trait worry. However, recent studies supported a two-factor solution with positively worded items loading on the first factor and reverse-scored items loading on a second factor. The current study compared this two-factor model to a negative wording method factor solution among college students. A method factor model with all PSWQ items loading on a single worry factor and reverse-scored items loading on a negative wording method factor provided as good a fit as the two-factor model. This method factor alone did not predict a generalized anxiety disorder diagnosis. Finally, the psychometric properties of an abbreviated scale containing only positively worded items were examined. The PSWQ appears to measure a single unitary construct, but response patterns differ between positively worded and reverse-scored items. Theoretical implications for pathological worry and assessment-related issues are discussed.     

The Two-Factor Solution to Allen and Meyer’s (1990) Affective Commitment Scale: Effects of Negatively Worded Items

Purpose

Affective organizational commitment is a construct important to both practitioners and researchers; thus, construct-valid measurement is needed. Allen and Meyer’s (J Occup Psychol 63:1–18, 1990) Affective Commitment Scale is a popular measure of affective organizational commitment. Although conceptualized as unidimensional, a two-factor solution sometimes emerges. Whether the two factors are substantive, reflecting AC-love and AC-joy constructs, or methodological, reflecting positively and negatively worded items, is unclear. This issue is examined in five studies.

Design/Methodology/Approach

In a new approach, conditions designed to produce cognitive fatigue are manipulated. Support for the method factor interpretation would be provided if the two-factor solution emerges only when participants are fatigued and negatively worded items are present. Cross-sample analyses are also conducted.

Findings

Analyses indicated that the two-factor solution fit the data well only when (a) participants were cognitively fatigued and (b) negatively worded items were present. This finding extended to both students and employees, and it held regardless of which items were negatively worded or whether negatively worded items were emphasized.

Implications

Results suggest that the second factor is likely methodological and seems to result from careless responding or fatigue on negatively worded items. It is suggested that users modify the items to be positively worded or administer the scale when respondents have sufficient cognitive resources to respond.

Originality/Value

This study was the first to use experimental methodology to test whether the two-factor solution is methodological or substantive. Results provide guidance for improving the scale’s construct validity in research and in practical applications.     

Comparison of factor structure models for the Beck Depression Inventory--II

Factor analyses of the Beck Depression Inventory--II (A. T. Beck, R. A. Steer, & G. K. Brown, 1996) have frequently produced 2 different 2-factor oblique structures. The author used confirmatory factor analyses to compare these structures with a general-factor model with 2 orthogonal group factors. The general-factor model fit as well as or better than the 2-factor models when applied to item data from previous studies (3 clinical and 2 college samples). Communalities associated with the General Depression factor ranged from 71% to 82%. Cognitive and Somatic group factors were indicative of intropunitiveness and fatigue. It was concluded that the general-factor model gives an acceptable empirical explanation of item covariance structure and offers a conceptual interpretation that is well suited to clinical practice and research.     

Confirmatory factor analyses of the WAIS-III standardization data

Confirmatory factor analyses with the standardization data of the Wechsler Adult Intelligence Scale-Third Edition (Wechsler, 1997a) compared 6 models with 1 to 4 factors for 11- and 13-subtest versions of the test. Three factors usually fit the data better than 2 factors, but 2-factor models were more parsimonious. A 2-factor model with a Verbal Comprehension factor (Vocabulary, Similarities, Information, and Comprehension) was as good as and sometimes better than the 2-factor model defined by the traditional separation of Verbal and Performance subtests. For 3-factor models, alternative specifications of processing speed subtests on either the Perceptual Organization or Freedom From Distractibility factor were comparable, and specifying a 4th factor for Digit Symbol and Symbol Search had little advantage in comparison with 3-factor models with correlated errors for the 2 subtests.     

Exploratory and confirmatory factor analyses of the pervasive developmental disorders rating scale for young children with autistic disorder

In this study, the authors examined the construct validity of the Pervasive Developmental Disorder Rating Scale (PDDRS; R. C. Eaves, 1993), which is a screening instrument used to identify individuals with autistic disorder and other pervasive developmental disorders. The PDDRS is purported to measure 3 factors--arousal, affect, and cognition-that collectively make up the construct of autism. Using scores from 199 children (aged 1-6 years) diagnosed with autistic disorder, the authors submitted data to exploratory and confirmatory factor analyses. In the 1st series of analyses, the authors analyzed a user-specified 3-factor solution using principal axis factor analysis with a promax rotation to evaluate the assertion of a correlated 3-factor structure. Next, the authors analyzed 1-factor and 2-factor solutions to determine if they provided a better factor structure for the data. In the 2nd series, the authors conducted confirmatory factor analyses, which compared the theorized hierarchical 2nd-order factor model with 5 plausible competing models. The results of the exploratory analyses supported the 3-factor solution. With the confirmatory analyses, the 2nd-order factor model provided the best fit for the data. The exploratory and confirmatory analyses supported the theoretical assumptions undergirding the development of the PDDRS. The authors discuss theoretical implications, practical implications, and areas for further research.     

Measuring Cohesion and Self-Disclosure in Psychotherapy Groups for Patients with Advanced Cancer: An Analysis of the Psychometric Properties of the Group Therapy Experience Scale

Objective: Understanding that the group process informs group interventions. However, there is little systematic research on group process variables in psychotherapy groups for patients with cancer. Method: We analyzed the psychometric properties of the Group Therapy Experience Scale (GTES) and evaluated its potential importance in advanced cancer therapy groups. Results: The GTES demonstrated good internal consistency (coefficient alpha = .84). An exploratory factor analysis with varimax rotation yielded four factors. Although all four models were explored, the 1- and 2-factor models appeared to provide the best fit for the data. The GTES total score was negatively correlated with group size and positively correlated with number of groups attended by participants. Further, the GTES total score was correlated with post-intervention spiritual well-being, benefit finding, post-traumatic growth, and quality of life.     

Development of a brief questionnaire of smoking urges--Spanish

Using 2 different samples of smokers, the authors developed and cross-validated a Spanish, brief version of the Questionnaire of Smoking Urges (QSU; S. T. Tiffany & D. J. Drobes, 1991). The smokers in Study 1 (N = 245) and Study 2 (N = 225) were from the province of Alicante, Spain. In both samples, a 2-factor model provided an excellent fit for a 10-item, all positively worded version of the QSU. Moreover, in both studies each factor uniquely contributed to predict nicotine dependence. Overall, there was clear evidence of construct validity for the multidimensionality of smoking cravings among Spanish smokers.     

Is the state-trait anxiety inventory multidimensional?

The factor structure of the State-Trait Anxiety Inventory (STAI) was investigated to determine whether the STAI State and Trait Anxiety scales were multidimensional. The STAI (Form Y) was administered to a heterogeneous sample of Air Force recruits (N = 1728); the scores for all 40 STAI items were factor-analyzed together, using the principal axis method and varimax rotation. Two- and four-factor solutions were found to be equally good in simple structure and psychological meaningfulness. Clearly defined state and trait anxiety factors were found in the more parsimonious two-factor solution. In the four-factor solution, the factors were: State Anxiety-Present, State Anxiety-Absent, Trait Anxiety-Present and Trait Anxiety-Absent. Using Cattell's (1966) confactor method, these factors were found to be congruent with similar factors previously identified for high school students by Spielberger et al. (1980). The anxiety-present and anxiety-absent factors were interpreted as reflecting either ‘item method’ variance or ‘item-intensity specificity’. There was no evidence in the present study that the STAI scales were multidimensional in terms of item content.