Short Stress State Questionnaire

2015 ◽  
Vol 31 (1) ◽  
pp. 20-30 ◽  
Author(s):  
William S. Helton ◽  
Katharina Näswall
Keyword(s):  
Stress State ◽  
Factor Structure ◽  
Human Performance ◽  
Self Report ◽  
Confirmatory Factor ◽  
Stress States ◽  
Related Stress ◽  
Using Data ◽  
Task Conditions ◽  
Multiple Samples

Conscious appraisals of stress, or stress states, are an important aspect of human performance. This article presents evidence supporting the validity and measurement characteristics of a short multidimensional self-report measure of stress state, the Short Stress State Questionnaire (SSSQ; Helton, 2004 ). The SSSQ measures task engagement, distress, and worry. A confirmatory factor analysis of the SSSQ using data pooled from multiple samples suggests the SSSQ does have a three factor structure and post-task changes are not due to changes in factor structure, but to mean level changes (state changes). In addition, the SSSQ demonstrates sensitivity to task stressors in line with hypotheses. Different task conditions elicited unique patterns of stress state on the three factors of the SSSQ in line with prior predictions. The 24-item SSSQ is a valid measure of stress state which may be useful to researchers interested in conscious appraisals of task-related stress.

The Factor Structure of the Aggression Questionnaire With Violent Offenders

2017 ◽  
Vol 62 (7) ◽  
pp. 1888-1905 ◽  
Author(s):  
Cathrine Pettersen ◽  
Kevin L. Nunes ◽  
Franca Cortoni
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Short Form ◽  
Violent Offenders ◽  
Self Report ◽  
Violent Offender ◽  
Careful Examination ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Aggression Questionnaire

The Buss-Perry Aggression Questionnaire (AQ) is a self-report measure of aggressiveness commonly employed in nonforensic and forensic settings and is included in violent offender pre- and posttreatment assessment batteries. The aim of the current study was to assess the fit of the four-factor model of the AQ with violent offenders ( N = 271), a population for which the factor structure of the English version of the AQ has not previously been examined. Confirmatory factor analyses did not yield support for the four-factor model of the original 29-item AQ. Acceptable fit was obtained with the 12-item short form, but careful examination of the relationships between the latent factors revealed that the four subscales of the AQ may not represent distinct aspects of aggressiveness. Our findings call into question whether the AQ optimally measures trait aggressiveness among violent offenders.

scholarly journals The Adolescent Resilience Questionnaire: Validation of a Shortened Version in U.S. Youths

2020 ◽  
Vol 11 ◽  
Author(s):  
Jacqueline R. Anderson ◽  
Michael Killian ◽  
Jennifer L. Hughes ◽  
A. John Rush ◽  
Madhukar H. Trivedi
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Correlation Coefficients ◽  
Internal Consistency Reliability ◽  
Self Report ◽  
Questionnaire Validation ◽  
Cross Sectional ◽  
Confirmatory Factor ◽  
Report Measure

IntroductionResilience is a factor in how youth respond to adversity. The 88-item Adolescent Resilience Questionnaire is a comprehensive, multi-dimensional self-report measure of resilience developed with Australian youth.MethodsUsing a cross-sectional adolescent population (n = 3,222), confirmatory factor analysis was conducted to replicate the original factor structure. Over half of the adolescents were non-white and 9th graders with a mean age of 15.5.ResultsOur exploratory factor analysis shortened the measure for which we conducted the psychometric analyses. The original factor structure was not replicated. The exploratory factor analysis provided a 49-item measure. Internal consistency reliability for all 12 factors ranged from acceptable (α> 0.70–0.80). The revised factor total scores were highly and significantly correlated with item–total correlation coefficients (r > 0.63, p < 0.001).ConclusionThis revised shorter 49-item version of the Adolescent Resilience Questionnaire could be deployed and has acceptable psychometric properties.

Factor Structure of the Millon Adolescent Personality Inventory for Psychiatric Inpatients

1998 ◽  
Vol 82 (1) ◽  
pp. 267-274 ◽  
Author(s):  
Linda S. Hynan ◽  
Mark L. Pantle ◽  
Barbara M. Foster
Keyword(s):  
Factor Structure ◽  
Psychiatric Inpatients ◽  
Personality Inventory ◽  
Normative Sample ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Millon Adolescent Personality Inventory ◽  
Using Data ◽  
Random Responses ◽  
Adolescent Personality

A principal components factor analysis (with varimax rotation) was performed on the Millon Adolescent Personality Scale Base Rate scores of 335 adolescent psychiatric inpatients. A four-factor solution was obtained (accounting for 84.1% of the variance), which was similar to that obtained by Millon, et al. for the normative sample. Confirmatory factor analyses, however, using data obtained from computer-generated random responses to the test, also fit the inpatient and normative sample data very well. The factor structure of the Millon Adolescent Personality Inventory therefore was inferred to be driven by the considerable item-scale overlap that characterizes the test.

Explanatory and Confirmatory Factor Structure of Beck Anxiety Inventory in College Sample

2017 ◽  
Vol 41 (S1) ◽  
pp. S108-S108
Author(s):  
S. Kareemi ◽  
B.M. Alansari
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Clinical Sample ◽  
Self Report ◽  
Beck Anxiety Inventory ◽  
College Sample ◽  
Two Samples ◽  
Confirmatory Factor ◽  
Males And Females ◽  
Competing Interest

IntroductionThe Beck anxiety inventory (BAI) is a widely used 21-item self-report inventory used to assess anxiety levels in adults and adolescents in both clinical and non-clinical populations. The values for each item are summed yielding an overall or total score for all 21 symptoms that can range between 0 and 63 points. A total score of 0–7 is interpreted as a “Minimal” level of anxiety; 8–15 as “Mild”; 16–25 as “Moderate”, and; 26–63 as “Severe”. There is no study until this date that examines the Explanatory and confirmatory factor structure factor structure of BAI in college student in Kuwaiti.ObjectivesThe current study investigated the original four-factor structure of the (BAI) in non-clinical sample of college students.MethodsSample one consisted of 540 males and females while sample two consisted of 600 males and females from Kuwait University undergraduates. The Arabic version of BAI was administered to participants. Explanatory factor analysis based on sample one and conformity factor analysis based on sample 2.ResultsThe results revealed four factor structures of BAI in the two samples of Kuwaiti students. Which included neurophysiological, subjective, autonomic, and panic factors.ConclusionsThe results of both confirmatory and exploratory factor analysis indicated that the original four-factor structures of the BAI do provide the best fit for the college sample.Disclosure of interestThe authors have not supplied their declaration of competing interest.

197 Refining the Subjective Assessment of Sleep: An SEM Approach

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A79-A79
Author(s):  
Sahar Sabet ◽  
Joseph Dzierzewski ◽  
Natalie Dautovich
Keyword(s):  
Factor Analysis ◽  
Sleep Disturbance ◽  
Factor Structure ◽  
Community Sample ◽  
Severity Index ◽  
Subjective Assessment ◽  
Self Report ◽  
Use Of Time ◽  
Daytime Impairment ◽  
Using Data

Abstract Introduction Given that sleep is multidimensional, the assessment of sleep requires an examination of a number of different domains. Accordingly, there is an abundance of self-report sleep questionnaires that are widely used for both research and clinical use. The surplus of available measures can be problematic, as it often leads to difficulties in selecting the best measure for a given purpose/context. In addition, the use of multiple measures to assess sleep may be an inefficient use of time and resources if they are not measuring unique constructs. The purpose of the current study is to evaluate the factor structure of five sleep measures. A confirmatory factor analysis (CFA) was initially used to evaluate whether each of these scales are measuring different factors of sleep, with follow-up exploratory factor analysis (EFA) as needed. Methods An archival analysis was performed using data from an online study, Investigating Sleep Across Normal Development (ISLAND Study). The sample consisted of 3,284 adults aged 18+. The following measures were utilized: RU SATED, PROMIS Sleep-Related Impairment, Sleep Self-Efficacy, Insomnia Severity Index, and the Sleep Regularity Questionnaire. Results As expected, the CFA model fit was determined to be poor and an EFA was then conducted to assess the factor structure of these scales. The EFA revealed a four-factor structure comprised of 25 items: Sleep-Related Daytime Impairment, Sleep Regularity, Sleep Disturbance, and Sleep-Related Daytime Enhancement. Conclusion The findings from the current study add to the literature supporting the multidimensionality of sleep, as well as the continued need to assess the various facets that comprise this construct. Although the literature supports the utility of these five measures, the present study found that within a community sample, these measures are not entirely unique. Further, the present study extends our knowledge and the literature by revealing a novel factor of sleep – Sleep-Related Daytime Enhancement. It may be worthwhile for researchers and clinicians to consider latent sleep factors that contribute to sleep disturbance and sleep health. Future work is needed to further confirm the observed factor structure and assess the psychometrics of this new scale. Support (if any) National Institute on Aging (K23AG049955, PI: Dzierzewski).

Norming the Muses: Establishing the Psychometric Properties of the Kaufman Domains of Creativity Scale

2021 ◽  
pp. 073428292110083
Author(s):  
Hansika Kapoor ◽  
Roni Reiter-Palmon ◽  
James C. Kaufman
Keyword(s):  
Age Groups ◽  
Self Report ◽  
Factor Analyses ◽  
Self Assessment ◽  
Confirmatory Factor Analyses ◽  
The Arts ◽  
Gender And Age ◽  
Confirmatory Factor ◽  
Psychometric Tool ◽  
Multiple Samples

The Kaufman Domains of Creativity Scale (K-DOCS; Kaufman, J. C. (2012). Counting the muses: Development of the Kaufman domains of creativity scale (K-DOCS). Psychology of Aesthetics, Creativity, and the Arts, 6(4), 298-308. doi:10.1037/a0029751) is a self-report assessment of five creative domains: Everyday, Scholarly, Performance, Scientific, and Artistic. This investigation was designed to reassess the factor structure of the K-DOCS, examine its measurement invariance across men and women, and develop norms across the five domains. Data on 22,013 American participants who had completed the assessment as part of past or ongoing studies between 2012 and 2020 were collated across multiple samples. Confirmatory factor analyses indicated that both five- and nine-factor solutions had superior fit compared to a one-factor solution. The models were also gender invariant, indicating that creative domains were assessed similarly across male and female samples. Norms across gender and age-groups were provided to enable future comparisons in research settings; it is not recommended to use these norms in clinical or diagnostic contexts. The investigation concluded that the K-DOCS is a robust psychometric tool for the self-assessment of creativity across domains.

scholarly journals An Investigation on the Factor Structure of Schutte Self Report Emotional Intelligence Test in Indian Student Sample

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Dr. Thiruchelvi Arunachalam ◽  
Dr. Yogesh Palanichamy
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Factor Structure ◽  
Factor Model ◽  
Intelligence Test ◽  
Self Report ◽  
Structure Model ◽  
Student Sample ◽  
Indian Student ◽  
Confirmatory Factor

Schutte et. al., (1998) developed and validated a measure of emotional intelligence called as SSEIT. From a pool of 62 items, Schutte et. al., (1998) extracted 33 items which were proposed to be homogenous in nature. In simple words, uni-dimensionality has been identified in Schutte et. al., (1998)’s work. This study attempts to find the factor structure of SSEIT in the Indian sample. Using exploratory factor analysis, a four factor structure model of SSEIT is reported. A four factor model has been hypothesized, which is tested using confirmatory factor analysis. The model is found to be fit with the necessary indices falling within the acceptable limits.

scholarly journals Organizational Companionship

2018 ◽  
Vol 31 (1) ◽  
pp. 1-31
Author(s):  
Youngshik Kim ◽  
Yongwon Suh
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Practical Implication ◽  
Task Conflict ◽  
Relationship Conflict ◽  
Future Research ◽  
Depth Interview ◽  
Confirmatory Factor ◽  
Using Data ◽  
The Impact

In the field of organizational psychology, the study of task conflict and relationship conflict is noted. However, there seems to be a paucity in research clarifying relationship among organizational members that can reduce the impact of task conflict on relationship conflict. The purpose of this study is to conceptualization and scale development of organizational companionship, which mitigates the effects of task conflict on relationship conflict. In the first study, an in-depth interview was conducted in order to explore relationship-based factors that could reduce the effects of task conflict on relationship conflict. Such factors that reduce relationship conflict in presence of task conflict were defined as organizational companionship, and was conceptualized as being composed of five sub-factors-jeong, we-ness, mutual trust, loyal behavior, and responsibility-which were named based on literature review. In the second study, a scale for organizational companionship was developed based on the in-depth interview. The result of exploratory factor analysis using data of 310 participants showed a 5 factor structure with 28 items. It was also verified that organizational companionship reduced the effects of task conflict on relationship conflict. In the third study, confirmatory factor analysis was conducted with a sample of 304 participants, and the results signified that the 5 factor structure indicated a satisfactory fit. Based on such findings, theoretical and practical implication, limitations, and suggestions for future research were discussed.

scholarly journals Confirmatory Factor Analysis of the Antisocial Process Screening Device

2016 ◽  
Vol 60 (16) ◽  
pp. 1856-1872 ◽  
Author(s):  
Pedro Pechorro ◽  
Victoria Hidalgo ◽  
Cristina Nunes ◽  
Lucía Jiménez
Keyword(s):  
Juvenile Offenders ◽  
Factor Structure ◽  
Internal Consistency ◽  
Juvenile Offender ◽  
Self Report ◽  
Callous Unemotional ◽  
Antisocial Process Screening Device ◽  
Confirmatory Factor ◽  
Screening Device ◽  
Forensic Sample

The main aim of the present study was to examine the factor structure, internal consistency, and some additional psychometric properties of the Antisocial Process Screening Device–Self-Report (APSD-SR) among a large forensic sample of incarcerated male juvenile offenders ( N = 438). The results, based on this forensic sample, support the use of the APSD-SR in terms of its factor structure, and internal consistency despite the fact an item had to be removed from the callous-unemotional (CU) dimension. Statistically significant positive associations were found with measures of psychopathic traits, CU traits, narcissism, and aggression, as well as negative associations with a measure of empathy. Findings provide support for the use of the APSD-SR among the incarcerated male juvenile offender population.

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