scholarly journals Factor Structure of the Athletic Identity Measurement Scale with Athletes with Disabilities

1997 ◽  
Vol 14 (1) ◽  
pp. 74-82 ◽  
Author(s):  
Jeffrey J. Martin ◽  
Robert C. Eklund ◽  
Carol Adams Mushett
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Sport Psychology ◽  
Structural Equation ◽  
Factor Model ◽  
Athletic Identity ◽  
Measurement Scale ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
Athletes With Disabilities

Individuals who perceive themselves as “athletes” are thought to have self-schemas composed of, in part, an athletic identity (Brewer, Van Raalte, & Linder, 1993). The recent development of the Athletic Identity Measurement Scale (AIMS) has allowed sport psychology researchers to assess athletic identity. Research with adolescent athletes with disabilities has suggested that the AIMS is composed of 4 factors (Martin, Mushett, & Eklund, 1994). The purpose of the current study was to further examine the psychometric properties of the AIMS. Seventy-eight international swimmers (34 females, 44 males) with disabilities, ranging in age from 12 to 44 (M = 23.4 years), participated in the present study. Using structural equation modeling procedures, a confirmatory factor analysis determined that the data fit the 4-factor model specified in the Martin et al. (1994) study, thus providing support for the multidimensionality of the AIMS.

scholarly journals Modeling and Analysis of the Motivations of Fast Fashion Consumers in Relation to Innovativeness

2016 ◽  
Vol 16 (4) ◽  
pp. 205-213
Author(s):  
Canan Saricam ◽  
Nazan Erdumlu
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Fast Fashion ◽  
Modeling And Analysis ◽  
Confirmatory Factor ◽  
The Relationship

Abstract In this study, fast fashion concept is investigated in order to understand the motivations of the consumers that make them adopt these products because of their willingness for the innovativeness. The relationship between the motivational factors which were named as “Social or status image” and “Uniqueness” as expressions of individuality, “Conformity” and the willingness for “Innovativeness” is analyzed using a conceptual model. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling were used to analyze and validate the model. The data used for the study was obtained from 244 people living in Turkey. The findings showed that the motivational factors “Social or status image” and “Uniqueness” as expressions of individuality are influential on the consumers’ willingness for “Innovativeness”.

Correlation of Reverse Logistics Performance to Solutions Using Structural Equation Modeling

2019 ◽  
Vol 18 (04) ◽  
pp. 511-525
Author(s):  
Pornwasin Sirisawat ◽  
Tossapol Kiatcharoenpol
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Reverse Logistics ◽  
Empirical Data ◽  
Sustainable Management ◽  
Structural Equation ◽  
Electronics Industry ◽  
Equation Modeling ◽  
Proposed Model ◽  
Confirmatory Factor

Nowadays, reverse logistics (RL) is one of the key strategies in many industries, especially in the electronics industry due to increasing environmental awareness and sustainable management. The main aim of this research is to investigate the correlation of RL performance to solutions for RL practice of the electronics industry in Thailand. In this research, questionnaires were distributed to 417 companies in the electronics industry of Thailand. A conceptual model was developed and the model examined by using structural equation modeling (SEM). Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used in this study. The hypotheses were tested in which RL performance was directly positively associated with the overall solutions for RL practices. RL performance was also indirectly positively associated with management & organization solutions, legal & technology solutions and collaboration and support solutions of the various solutions for RL practices. Empirical data was tested by using SEM and it was found that the proposed model could fit with the empirical data. The proposed results of this study will help to understand more about RL practices and could provide further direction for researchers and practitioners in the electronics industry and other related industries.

Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review

2006 ◽  
Vol 99 (6) ◽  
pp. 323-338 ◽  
Author(s):  
James B. Schreiber ◽  
Amaury Nora ◽  
Frances K. Stage ◽  
Elizabeth A. Barlow ◽  
Jamie King
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Confirmatory Factor

Investigating the Structure of the Pediatric Symptoms Checklist in the Preschool Setting

2016 ◽  
Vol 35 (5) ◽  
pp. 494-505 ◽  
Author(s):  
Christine DiStefano ◽  
Jin Liu ◽  
Yin Burgess
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Short Form ◽  
School Setting ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
Psychological Instruments ◽  
Preschool Setting

When using educational/psychological instruments, psychometric investigations should be conducted before adopting to new environments to ensure that an instrument measures the same constructs. Exploratory structural equation modeling and confirmatory factor analysis methods were used to examine the utility of the short form of the Pediatric Symptoms Checklist (PSC-17) in the school setting. Using a sample of 836 preschool children rated by teachers, three factors were identified across both techniques, with factors matching the hypothesized structure of the instrument. The PSC-17 may be an option for use in preschool settings when conducting behavioral and emotional screening.

Adaptation and Validation of the Athletic Identity Questionnaire-Adolescent for Use With Children

2008 ◽  
Vol 5 (4) ◽  
pp. 539-558 ◽  
Author(s):  
Cheryl B. Anderson ◽  
Karen J. Coleman
Keyword(s):  
Physical Activity ◽  
Construct Validity ◽  
Structural Equation ◽  
Factor Model ◽  
Athletic Identity ◽  
Ethnically Diverse ◽  
Self Report ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
Child Factors

Background:This article describes the adaptation of the Athletic Identity Questionnaire (AIQ) for Adolescents for use with children and evaluates its construct validity. Based on a theoretical model supported in adults and adolescents, the AIQ-Child measures the general attribute of athletic, which encompasses exercise, sport, and physical activity and assesses 4 dimensions: appearance, competence, importance of activity, and encouragement from 3 sources (parents, friends, teachers/other adults).Methods:The hypothesized 4-factor model was tested using structural equation modeling in 2 samples of 9- and 10-year-old children that were ethnically diverse (N = 432) and Hispanic (N = 504).Results:Confirmatory factor analysis using LISREL 8.71 supported the 4-factor structure in a 40- or 38-item version in sample 1 (RMSEA = .039, .041) and sample 2 (RMSEA = .038, .038). As in the adult and adolescent models, there was also support for a higher-order model. The AIQ-Child factors were positively related to physical activity (r = .51 to .68) and fitness (r = .15 to .41) and negatively related to TV/computer use (r = –.28 to –.03) and adiposity (r = –.32 to .04).Conclusions:Findings support the factorial and construct validity of the AIQ-Child and its use as a self-report instrument in younger children.

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