The Factor Structure of the State-Trait Anxiety Inventory: An Alternative View

Wagner and Copper (1963) reported high discriminative power for one score (the ACTivity score) of the Wagner Hand Test between (unskilled and semi-skilled) workers at Goodwill Industries, Akron, Ohio who had been rated “Satisfactory” or “Unsatisfactory” by their superiors.

An attempt to crossvalidate this finding, in a three-group design, in a large Western Canadian Plywood mill failed to produce the expected relationship; neither the ACT score, nor any of the other scores derived from this test showed any consistent trend in terms of postdicting activity level, or general acceptability of the 18 Ss involved in this study.     

The Japanese State-Trait Anxiety Inventory: age and sex differences

Purpose of the present study was to investigate scores on anxiety among adults of different ages. The State-Trait Anxiety Inventory was administered to a representative community sample of 1,234 men and women whose ages ranged from 25 to 92 yr. Anxiety declined linearly over the series of age groups. A sex difference was also observed on trait anxiety; women showed higher anxiety than men. Occupation was associated with anxiety for men but with education for women. Possible development of anxiety and differential association of demographic variables with anxiety between sexes were discussed in relation to personality.     

Reliability and factorial structure of the Chinese version of the State-Trait Anxiety Inventory

The Chinese version of the State-Trait Anxiety Inventory (STAI) was administered to 2150 Chinese secondary-school students. Reliability data revealed that the A-State and A-Trait scales had a high internal consistency, and high item-total correlations were found for most of the items under each scale. Factor analytic data showed that while two factors were abstracted from the A-Trait scale (Anxiety Present and Anxiety Absent), two (Anxiety Present and Anxiety Absent) or three (Anxiety Present, Calmness, and Happiness) factors were abstracted from the A-State scale. By randomly splitting the total sample into two subsamples, factors extracted from the first two factor-solutions could be reproduced reliably and high coefficients of congruence were found. These findings generally suggest that the Chinese A-State and A-Trait scales possess acceptable psychometric properties and the factor analytic data tend to support Spielberger's conception of the multidimensional nature of the A-State and A-Trait scales.This work was supported by UPGC Grant CPAS/714.     

Psychometric properties of the State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA): comparison to the State-Trait Anxiety Inventory (STAI)

The State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA; M. J. Ree, C. MacLeod, D. French, & V. Locke, 2000) was designed to assess cognitive and somatic symptoms of anxiety as they pertain to one's mood in the moment (state) and in general (trait). This study extended the previous psychometric findings to a clinical sample and validated the STICSA against a well-published measure of anxiety, the State-Trait Anxiety Inventory (STAI; C. D. Spielberger, 1983). Patients (N=567) at an anxiety disorders clinic were administered a battery of questionnaires. The results of confirmatory factor analyses (Bentler-Bonnett nonnormed fit index, comparative fit index, and Bollen fit index>.90; root-mean-square error of approximation<.05); convergent and discriminant validity analyses; and group comparisons supported the reliability and validity of the STICSA as a measure of state and trait cognitive and somatic anxiety. In addition, compared with the STAI (anxiety: rs/=.64), the STICSA was more strongly correlated with another measure of anxiety (rs>/=.67) and was less strongly correlated with a measure of depression (rs相似文献   

Characteristics 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.     

The State-Trait Anxiety Inventory A-Trait Scale: dimensions and their generalization.

The State-Trait Anxiety Inventory A-Trait scale was administered to 152 female and 158 male students. Principal-components factor analyses yielded four orthogonal factors for each sex. The findings indicated that factor pattern comparisons should be made prior to pooling data across sex for psychometric investigations. Also, limited support was found for the generalization of dimensions across sex and samples both within and between cultures.     

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.     

Reliability of the State-Trait Anxiety Inventory, Form Y in Japanese samples.

The internal consistency of the State-Trait Anxiety Inventory, Form Y was examined using data collected from Japanese participants by five diverse surveys, in which one included American university students. Cronbach coefficient alpha was calculated separately for state and trait items as well as for anxiety-present and absent items. The internal consistency was higher for the anxiety-absent items than those of the state and trait anxiety items, but this tendency was not clear for the anxiety-present items. The trait anxiety items showed the lowest internal consistency for all Japanese groups, whereas the anxiety-present items showed the lowest alpha for American university students. It can be considered that this difference might induce the difference in two--factor structure between Japanese and people in Western countries.     

Spielberger's State-Trait Anxiety Inventory: Measuring anxiety with and without an audience during performance on a stabilometer

Half of the 56 subjects (n = 28) performed 15 pre-treatment trials on a stabilometer, then six more with an audience of three faculty (Group 1), the other half performed the same task with no audience (Group 2). Subjects completed the State-Trait Anxiety Inventory prior to and after the treatments. Orthogonal contrasts indicated that Group 1 (audience) post State-anxiety was significantly different from its own pre-State-anxiety and significantly different from Group 2 (no audience) on post-State-anxiety. It was concluded that the State-Trait Anxiety Inventory is an appropriate measure of trait and state anxiety in studies of motor performance.     

Early evidence of the Italian validation of the Trait Anxiety Scale of the State-Trait Anxiety Inventory for Children

Anxiety is one of the most widespread disorders in childhood. Researchers claim the need for a tool useful to assess the core constructs common to multiple anxiety disorders, to catch the generalized propensity to be anxious and to assess anxiety stability across the lifespan. The Trait Anxiety Scale of the State-Trait Anxiety Inventory for Children (STAIC-T) seems to fill these gaps. The present study examined STAIC-T validity in a sample of 1324 Italian children aged 8–13 years old. Scalar invariance across gender was established. Internal consistency was good. Results reported higher levels of anxiety in girls, whereas no gender differences were found. The measure demonstrated good convergent validity with the Spence Children Anxiety Scale. Findings support the validity of the STAIC-T as a brief and concise diagnostic tool to assess the anxiety proneness in Italian children.     

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.     

Explanatory,Multilevel Person-Fit Analysis of Response Consistency on the Spielberger State-Trait Anxiety Inventory

Self-report measures are vulnerable to concentration and motivation problems, leading to responses that may be inconsistent with the respondent's latent trait value. We investigated response consistency in a sample (N = 860) of cardiac patients with an implantable cardioverter defibrillator and their partners who completed the Spielberger State-Trait Anxiety Inventory on five measurement occasions. For each occasion and for both the state and trait subscales, we used the l ^p _z person-fit statistic to assess response consistency. We used multilevel analysis to model the between-person and within-person differences in the repeated observations of response consistency using time-dependent (e.g., mood states) and time-invariant explanatory variables (e.g., demographic characteristics). Respondents with lower education, undergoing psychological treatment, and with more post-traumatic stress disorder symptoms tended to respond less consistently. The percentages of explained variance in response consistency were small. Hence, we conclude that the results give insight into the causes of response inconsistency but that the identified explanatory variables are of limited practical value for identifying respondents at risk of producing invalid test results. We discuss explanations for the small percentage of explained variance and suggest alternative methods for studying causes of response inconsistency.     

The psychometric properties of the Greek version of the State-Trait Anxiety Inventory in cancer patients receiving palliative care

Objectives: To validate the Greek version of the State-Trait Anxiety Inventory (STAI) in a sample of cancer patients. Design: The scale was administered twice, with a 3-day interval, to 99 eligible patients with cancer. Together with the Greek version of STAI scale, the patients also completed the anxiety subscale from the Hospital Anxiety and Depression scale (HAD). Observations: Factor analysis yielded a three-factor solution, explaining 47.143% of the variance. Cronbach α for three scales was between 0.729 and 0.852. Inter-scale correlations were moderate-to-high and ranged from 0.282 to 0.563 (p < 0.0005, p < 0.005). The assessment of the relationships among the Greek STAI scales and HAD-Anxiety showed statistically significant correlations between them (r ranged between 0.428 and 0.596, p < 0.0005). The test/retest reliability of scale (Pearson's ‘r’), showed that the coefficient agreement ranged between 0.85 and 0.90 (p < 0.0005). Univariate analysis revealed significant correlations between female gender, metastasis, performance status, chemotherapy, mild opioids and low education level with increased anxiety. Conclusions: These results support that the Greek version of STAI is an instrument with satisfactory psychometric properties, and is a valid research tool for Greek cancer patients.     

Differentiating anxiety and depression: the State-Trait Anxiety-Depression Inventory

ABSTRACT

The differentiation of trait anxiety and depression in nonclinical and clinical populations is addressed. Following the tripartite model, it is assumed that anxiety and depression share a large portion of negative affectivity (NA), but differ with respect to bodily hyperarousal (specific to anxiety) and anhedonia (lack of positive affect; specific to depression). In contrast to the tripartite model, NA is subdivided into worry (characteristic for anxiety) and dysthymia (characteristic for depression), which leads to a four-variable model of anxiety and depression encompassing emotionality, worry, dysthymia, and anhedonia. Item-level confirmatory factor analyses and latent class cluster analysis based on a large nation-wide representative German sample (N?=?3150) substantiate the construct validity of the model. Further evidence concerning convergent and discriminant validity with respect to related constructs is obtained in two smaller nonclinical and clinical samples. Factors influencing the association between components of anxiety and depression are discussed.     

Scores on the State-Trait Anxiety Inventory for children in a longitudinal study of pubertal Spanish youth.

Changes in scores on the State-Trait Anxiety Inventory for Children for a sample of 534 pubertal adolescents were longitudinally studied over a period of 4 years. Biological development and other variables were investigated. For the 310 boys, A-trait scores decreased significantly with age. The 224 girls showed significantly higher scores than boys in all years of the study. No significant relationship was found between anxiety and pubertal maturity. The year-to-year persistence in symptomatology of anxiety ranged between 55.6% and 66.1% for girls and between 48.5% and 53.1% for boys. Girls showed bi- and tri-annual persistence between 31% and 50%, and boys between 13% and 27%. Neuroticism scores formed the best predictor of A-trait scores. Symptomatology of anxiety is not transient during early adolescence, so personality may provide a risk indicator in the development of anxiety.     

Psychometric Properties of the State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA) in Friendship Dyads

Recently, Gros, Antony, Simms, and McCabe (2007) demonstrated support for the psychometric properties of a new measure of state and trait anxiety, the State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA). In the present study, we further investigated the STICSA-Trait Version in 127 friendship dyads with a self-report from one participant (target) and an other-report of the target from a friend (informant). Consistent with previous research, confirmatory factor analyses supported the 2-factor structure of the STICSA-Trait in the target and informant reports. Moreover, the STICSA-Trait Cognitive and Somatic Anxiety subscales showed acceptable convergent and discriminant validity with related measures of anxiety. In addition, the STICSA-Trait subscales demonstrated adequate internal consistency and self-other agreement across the target and informant reports. Together, these findings provide additional support for the STICSA-Trait subscales as reliable and valid measures of cognitive and somatic anxiety.     

The factor structure of the Narcissistic Personality Inventory

In the first study, we administered the 40-item Narcissistic Personality Inventory (NPI; Raskin & Terry, 1988) to 843 female and 843 male college students, most of whom were Euro-American, to comprehensively assess the NPI factor structure using confirmatory factor analysis. Initial exploratory common factor analyses (N = 724) revealed a 2-factor model (Leadership/Authority and Exhibitionism/Entitlement). Subsequently, we used confirmatory factor analysis in a separate sample (N = 724) to evaluate the Emmons (1987) 4-factor model, the Raskin and Terry (1988) 7-factor model, the Kubarych, Deary, and Austin (2004) 2- and 3-factor models, and our 2-factor model. Finally, we assessed construct validity by correlating the scale scores with the Five-factor model of personality in an independent sample (N = 238). The 2-factor models for the NPI we obtained in this study and by Kubarych et al. (2004) appeared to be the most parsimonious models, with both a good fit to the data and satisfactory internal consistency values; so they are recommended for use. However, additional NPI research is needed to rescale, modify, or omit several NPI items and develop gender-equivalent items.