scholarly journals Sex Differences in the Factor Structure of a Modified Sexual Experiences Questionnaire

2010 ◽  
Vol 107 (3) ◽  
pp. 773-783 ◽  
Author(s):  
Madhavi K. Reddy ◽  
Maureen Murdoch
Keyword(s):  
Sex Differences ◽  
Sexual Harassment ◽  
Factor Structure ◽  
Active Duty ◽  
Sexual Experiences ◽  
Factor Analyses ◽  
Exploratory Factor Analyses ◽  
Military Populations ◽  
Derivatives Of ◽  
The U.S

Sexual harassment has long been a problem in educational, employment, and military populations. It is unclear whether existing questionnaires used to measure sexual harassment in the U.S. military—particularly, derivatives of the Sexual Experiences Questionnaire—perform similarly in men and women. Using exploratory factor analyses in a mixed sample of active duty troops and veterans (289 men, 181 women), sex differences were found in one version's factor structure. Implications and suggestions for improving the validity of the questionnaire for men are offered.

European Differences in Self-Perceived Multiple Intelligences

1999 ◽  
Vol 4 (3) ◽  
pp. 131-138 ◽  
Author(s):  
Adrian Furnham ◽  
Tim Rakow ◽  
Ivan Sarmany-Schuller ◽  
Filip De Fruyt
Keyword(s):  
Sex Differences ◽  
Multiple Intelligences ◽  
Factor Structure ◽  
Factor Analyses ◽  
Verbal Iq ◽  
Sex Effects ◽  
Iq Scores ◽  
Culture Differences ◽  
Three Factor

In this study, 140 Belgian, 227 British, and 177 Slovakian students estimated their own multiple IQ scores as well as that of their parents (mother and father) and siblings (first and second brother and sister). Various factor analyses yielded a clear three-factor structure replicating previous studies. A sex × culture ANOVA on self-ratings of three factors that underline the seven intelligences (verbal, numerical, cultural) showed culture and sex effects as well as interactions. As predicted, males rated their own overall IQ, though not that of their parents or siblings, higher than females did. Males also rated their numerical IQ, but not their verbal or cultural IQ, higher than females did. There were few culture differences but many interactions, nearly all caused by Slovakian females, who rated aspects of their own and their fathers' IQ higher than Slovakian males, while the pattern for the Belgians was precisely the opposite. Participants believed their verbal IQ was higher than their numerical IQ and their cultural IQ. Males believed their verbal and numerical IQ score to be fairly similar, though much higher than their cultural IQ, while females believed their verbal IQ the highest, followed by numerical and cultural IQ. Females also believed they were more intelligent than both parents. Overall results showed consistency in the sex differences in ratings across cultures but differences in level of estimated IQ possibly as a result of cultural demands for modesty.

Psychometric investigation of the affiliate stigma scale in Mexican Parkinson’s disease caregivers: Development of a short form

2021 ◽  
pp. 1-11
Author(s):  
Mickeal Pugh ◽  
Paul B. Perrin ◽  
Jack D. Watson ◽  
Duygu Kuzu ◽  
Carmen Tyler ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Factor Structure ◽  
Convergent Validity ◽  
Short Form ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Stigma Scale ◽  
Affiliate Stigma ◽  
Exploratory Factor Analyses

BACKGROUND: Parkinson’s disease (PD) caregivers, particularly in Latin America, may experience high levels of affiliate stigma due to their association with a person having a disability. The most common measure used of this construct in the literature, the Affiliate Stigma Scale, was validated using non-standard and questionable methods. OBJECTIVE: The purpose of this study was to investigate the factor structure and psychometric properties of the Spanish version of the Affiliate Stigma Scale with PD caregivers in Mexico using more widely accepted psychometric approaches including confirmatory and exploratory factor analyses (confirmatory factor analyses (CFAs) and exploratory factor analyses (EFAs)). METHODS: A sample of 148 PD caregivers from Mexico completed this measure, as well as indices of caregiver burden and anxiety. RESULTS: Initial CFAs revealed that the data did not fit either the originally proposed one-factor or three-factor structures. An EFA was then conducted which was unable to discern any factor structure. Upon instituting a stepwise removal alpha-if-item-deleted process, a 5-item Affiliate Stigma Scale Spanish Short Form was retained with an adequate Cronbach’s alpha, good convergent validity, and a Short Form CFA generally indicating adequate fit. CONCLUSIONS: The new Spanish Affiliate Stigma Scale Short Form holds promise for more appropriately measuring affiliate stigma likely in general but particularly in Spanish and among PD caregivers. The Short Form can assist not only in assessing levels of caregiver affiliate stigma, but in creating novel interventions to help support caregivers and decrease stigma.

Evaluating the Fit of the Ecological Framework for Implementation Variables

2018 ◽  
Vol 45 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Melissa A. Collier-Meek ◽  
Austin H. Johnson ◽  
Lisa M. H. Sanetti
Keyword(s):  
Factor Structure ◽  
Treatment Integrity ◽  
External Environment ◽  
Ecological Factor ◽  
Future Research ◽  
Ecological Framework ◽  
Factor Analyses ◽  
Exploratory Factor Analyses

Many teachers struggle to deliver interventions with sufficient treatment integrity, perhaps due to implementation variables that mediate or moderate treatment integrity. Potential implementation variables have frequently been conceptualized in ecological frameworks, including the intervention, implementer, organization, and external environmental levels. Although the ecological framework is a useful organizational tool, a measure aligned with this model of implementation variables has not yet been developed. This article describes the development of the Assessment of Ecological Implementation Influences (AEII), a measure to evaluate implementation variables across ecological levels. Exploratory factor analyses were conducted to evaluate to what extent responses on the AEII reflect the hypothesized ecological factor structure. The model of variables from the intervention to external environment level was not reflected within the factor structure here. Rather, factors emerged that were not previously accounted for in the implementation variables literature. Implications for future research on the measurement of treatment integrity and implementation variables are described.

Exploratory Factor Analyses of the Intelligence and Development Scales–2: Implications for Theory and Practice

Assessment ◽  
2019 ◽  
Vol 27 (8) ◽  
pp. 1853-1869 ◽  
Author(s):  
Silvia Grieder ◽  
Alexander Grob
Keyword(s):  
Factor Structure ◽  
Visual Processing ◽  
Mathematical Reasoning ◽  
Factor Loading ◽  
Theory And Practice ◽  
Long Term Memory ◽  
General Factor ◽  
Factor Analyses ◽  
Reliability Estimates ◽  
Exploratory Factor Analyses

The factor structure of the intelligence and scholastic skills domains of the Intelligence and Development Scales–2 was examined using exploratory factor analyses with the standardization and validation sample ( N = 2,030, aged 5 to 20 years). Results partly supported the seven proposed intelligence group factors. However, the theoretical factors Visual Processing and Abstract Reasoning as well as Verbal Reasoning and Long-Term Memory collapsed, resulting in a five-factor structure for intelligence. Adding the three scholastic skills subtests resulted in an additional factor Reading/Writing and in Logical–Mathematical Reasoning showing a loading on abstract Visual Reasoning and the highest general factor loading. A data-driven separation of intelligence and scholastic skills is not evident. Omega reliability estimates based on Schmid–Leiman transformations revealed a strong general factor that accounted for most of the true score variance both overall and at the group factor level. The possible usefulness of factor scores is discussed.

Sources of Sport Confidence of Master Athletes

2004 ◽  
Vol 26 (3) ◽  
pp. 369-384 ◽  
Author(s):  
Rodney C. Wilson ◽  
Philip J. Sullivan ◽  
Nicholas D. Myers ◽  
Deborah L. Feltz
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Track And Field ◽  
Factor Analyses ◽  
Master Athletes ◽  
Mental Preparation ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses

This study examined sources of sport confidence and their relationship to trait sport confidence with master athletes. The study employed 216 athletes from 50 to 96 years of age in track and field, tennis, and swimming, using the Sources of Sport Confidence Questionnaire (SSCQ; Vealey, Hayashi, Garner-Holman, & Giacobbi, 1998). Confirmatory factor analysis failed to replicate the proposed 9-factor structure of the SSCQ. Exploratory factor analyses revealed an 8-factor structure with similar factors to the SSCQ, but with fewer items and the elimination of the situational favorableness factor. Physical/mental preparation and mastery were the highest ranked sources among the athletes. A simultaneous multiple regression analysis indicated that physical/mental preparation and demonstration of ability were significant predictors of trait sport confidence for master athletes. Our findings suggest that the SSCQ needs more psychometric work if it is to be used with this type of population.

Exploratory Factor Analysis of the French Version of the Big Five Questionnaire for Children (BFQ-C)

2017 ◽  
Vol 76 (3) ◽  
pp. 125-130 ◽  
Author(s):  
Martine Bouvard ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Big Five ◽  
Goodness Of Fit ◽  
Internal Validity ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
French Version ◽  
Exploratory Factor Analyses

Abstract. This article examines the internal validity of the French version of the Big Five Questionnaire for Children (BFQ-C). We first performed confirmatory factor analyses (CFA) to determine the fit of the factor structure identified in previous research on the BFQ-C and then used exploratory factor analyses. A sample of 399 children (192 boys and 207 girls) recruited from elementary schools completed the BFQ-C in their classrooms. Participants were 8 to 12 years old with a mean age of 9.58 years (SD = 0.98). The results indicated poor goodness-of-fit statistics for the CFA solution. Exploratory factor analysis improved the model fit markedly over conventional CFA. The factor structure of the French version of the BFQ-C suggested reasonable fit for the five intercorrelated factors corresponding to the Big Five with the exploratory factor analyses, even if the fifth factor appeared to be more problematic than the other 4 factors.

Self‐consciousness scales for adults and children: Reliability, validity, and theoretical significance

1988 ◽  
Vol 2 (1) ◽  
pp. 11-37 ◽  
Author(s):  
Dominic Abrams
Keyword(s):  
Social Anxiety ◽  
Factor Structure ◽  
Undergraduate Students ◽  
Discriminant Validity ◽  
Reliability And Validity ◽  
Factor Analyses ◽  
Public And Private ◽  
Confirmatory Factor Analyses ◽  
Structure Reliability ◽  
Exploratory Factor Analyses

The present article reports the factor structure, reliability and validity of Fenigstein et al.'s (1975) Self‐Consciousness Scale (SCS) using British respondents from five samples of undergraduate students, two of 17‐year‐old school pupils, one of 13‐year‐old pupils, and one of 11‐year‐old pupils. Confirmatory factor analyses reproduced in most samples a 3‐factor structure consistent with the SCS subscales, although exploratory factor analyses suggested the Private subscale consists of several subfactors. Concordantly, alpha reliability coefficients were higher for Social Anxiety and Public than for Private, respectively. Test–retest reliability was reasonable for Social Anxiety, but poorer for Public and Private. In line with correlations found by other researchers, that between Public and Private Self‐consciousness was r = 0.33. Both of these subscales correlated positively with Neuroticism. Nevertheless, public and private were considered to be distinguishable constructs. In contrast, Social Anxiety correlated highly positively with Introversion and Neuroticism, and negatively with Self‐Esteem, indicating poor discriminant validity. Exploratory factor analyses of scales designed for young adolescents yielded recognizable private and public factors, with the predominance of a Private factor among 11‐year olds, but of a Public factor among 13‐year olds. Finally, conceptual problems surrounding the private–public distinction are articulated in relation to (a) similar alternative constructs, and (b) Tajfel and Turner's (1979) concept of social identity.

Exploring the Structure of Zuckerman's Sensation Seeking Scale, Form V in a Spanish Sample

2004 ◽  
Vol 95 (1) ◽  
pp. 338-344 ◽  
Author(s):  
Anton Aluja ◽  
Oscar García ◽  
Luis F. García
Keyword(s):  
Factor Structure ◽  
Sensation Seeking ◽  
Simple Structure ◽  
Total Sample ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Calibration Sample ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Sensation Seeking Scale

The psychometric properties of the original version of the Sensation Seeking Scale (Form V) were analyzed in a sample of 1,006 Spanish university students. The total sample was randomly split into two halves. Exploratory factor analyses were conducted on the calibration sample ( n = 504), whereas confirmatory factor analysis procedures were performed on the validation sample ( n = 502). As previous studies have suggested, exploratory factor structure indicated that several items load on a different factor or have loadings lower than .30. Those problems were surpassed when the best five items per factor were factor analyzed again. The confirmatory factor analyses showed that a 4-factor simple structure model gave a clearly imperfect fit. A model of 20 items (5 items per factor) gave a better fit, although with similar problems regarding the low reliabilities of the Experience Seeking and Boredom Susceptibility subscales. The need for improvement of the four-factor structure is discussed.

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