Exploration of the Factor Structure of the Kirton Adaption–Innovation Inventory Using Bootstrapping Estimation

2013 ◽  
Vol 112 (2) ◽  
pp. 437-444
Author(s):  
Subin Im ◽  
Soonhong Min
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Cognitive Styles ◽  
Idea Generation ◽  
Parameter Estimates ◽  
Factor Analyses ◽  
Rule Group ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Better Than

Exploratory factor analyses of the Kirton Adaption-Innovation Inventory (KAI), which serves to measure individual cognitive styles, generally indicate three factors: sufficiency of originality, efficiency, and rule/group conformity. In contrast, a 2005 study by Im and Hu using confirmatory factor analysis supported a four-factor structure, dividing the sufficiency of originality dimension into two subdimensions, idea generation and preference for change. This study extends Im and Hu's (2005) study of a derived version of the KAI by providing additional evidence of the four-factor structure. Specifically, the authors test the robustness of the parameter estimates to the violation of normality assumptions in the sample using bootstrap methods. A bias-corrected confidence interval bootstrapping procedure conducted among a sample of 356 participants—members of the Arkansas Household Research Panel, with middle SES and average age of 55.6 yr. ( SD = 13.9)—showed that the four-factor model with two subdimensions of sufficiency of originality fits the data significantly better than the three-factor model in non-normality conditions.

Revisiting the Factor Structure of the Kirton Adaption-Innovation Inventory

2005 ◽  
Vol 96 (2) ◽  
pp. 408-410E ◽  
Author(s):  
Subin Im ◽  
Michael Y. Hu
Keyword(s):  
Construct Validity ◽  
Factor Structure ◽  
Factor Model ◽  
Cognitive Styles ◽  
Idea Generation ◽  
Factor Analyses ◽  
Average Income ◽  
Rule Group ◽  
Three Factor

The original Kirton Adaption-Innovation Inventory, used to measure innovative (as opposed to adaptive) individual cognitive styles, has been reported to have three factors: Sufficiency of Originality, Efficiency, and Rule/Group Conformity. In exploring the construct validity of the Kirton Adaption-Innovation Inventory, findings from a 2003 study by Im, Hu, and Toh showed the existence of two subdimensions of the Sufficiency of Originality factor—Idea Generation and Preference for Change. In this study, using a sample of 356 household participants, with an average age of 56.0 yr. ( SD = 14.0), average income of $39,700 ( SD = $19,200), and average of 15.0 yr. of education ( SD = 2), from the Arkansas Household Research Panel, we conducted factor analyses. The results specific to our selected sample indicate that a four-factor model recognizing the two subdimensions of Sufficiency of Originality has a better fit than the original three-factor model.

scholarly journals The Hateful Eight (H8): An Efficient Multifaceted Approach to the Short Dark Tetrad (SD4)

2020 ◽  
Author(s):  
Gregory D. Webster ◽  
Val Wongsomboon
Keyword(s):  
Factor Analysis ◽  
Hierarchical Models ◽  
Factor Model ◽  
Verbal Abuse ◽  
Sex Partners ◽  
Factor Analyses ◽  
Multifaceted Approach ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Better Than

Using the 28 items of the Short Dark Tetrad (SD4; Paulhus et al., 2020), we developed an alternative 16-item version with eight facets called the Hateful Eight (H8). Over 450 undergraduate participants completed the SD4 and two sexual behavior items. We split the sample into exploratory and confirmatory halves. Exploratory factor analyses showed that each SD4 trait—Machiavellianism, narcissism, psychopathy, and sadism—had a two-factor model that fit significantly better than a one-factor model. Taking the two highest-loading items from each factor for each trait yielded eight facets, which we labeled deviousness and scheming (Machiavellianism); leadership and exceptionalism (narcissism); defiance and recklessness (psychopathy); and violent voyeurism and verbal abuse (sadism). Confirmatory factor analysis using both split-half and whole samples supported both an eight-factor/facet solution and hierarchical models in which the eight facets loaded onto the four Dark Tetrad traits, which in turn loaded onto a global Dark Tetrad factor. Participant sex interacted with the H8 composite score in predicting number of sex partners; men showed stronger H8–sex-partners slopes than women. Showing the utility of the H8’s hierarchical, multifaceted structure, this H8-by-sex interaction effect was driven by its narcissism trait, which was in turn driven by its exceptionalism facet.

scholarly journals The Well-being Questionnaire: evidence for a three-factor structure with 12 items (W-BQ12)

2000 ◽  
Vol 30 (2) ◽  
pp. 455-462 ◽  
Author(s):  
F. POUWER ◽  
F. J. SNOEK ◽  
H. M. VAN DER PLOEG ◽  
H. J. ADÈR ◽  
R. J. HEINE
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Well Being ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Group A ◽  
Group B ◽  
Three Factor

Background. The Well-being Questionnaire (W-BQ) has been designed to measure psychological well-being in people with a chronic somatic illness and is recommended by the World Health Organization for widespread use. However, studies into the factor structure of this instrument are still limited and their findings are inconsistent. This study aimed to investigate the factor structure of the Dutch version of the W-BQ.Methods. A cross-validation design was used. A total of 1472 people with diabetes completed the W-BQ and were randomly assigned to group A or B. In group A (N = 736), exploratory factor analyses were conducted. Group B (N = 736) was split up into four subgroups of male or female patients with type 1 or type 2 diabetes. In these subgroups, confirmatory factor analyses were employed to test the model(s) developed in group A and the two models described in the literature (four-factor model with 22 items and a three-factor model with 12 items).Results. Exploratory factor analyses yielded a three-factor model with 21 items (negative well-being, energy and positive well-being). In the subgroups of group B confirmatory factor analyses only accepted the three-factor model with 12 items. This factor solution was stable across gender, type of diabetes and level of education.Conclusions. The best description of the factor structure of the Dutch translation of the W-BQ was given by a three-factor solution with 12 items (W-BQ12), measuring positive well-being (four items), negative well-being (four items) and energy (four items).

Evidence for the Factorial Validity of the Dispositional Hope Scale

2006 ◽  
Vol 22 (2) ◽  
pp. 78-84 ◽  
Author(s):  
Scott C. Roesch ◽  
Allison A. Vaughn
Keyword(s):  
Ethnic Groups ◽  
Factor Structure ◽  
Factor Model ◽  
Factorial Validity ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Dispositional Hope ◽  
Multiethnic Sample ◽  
Better Than

Confirmatory factor analyses were employed to test the factorial validity and structure of the Dispositional Hope Scale (DHS; Snyder et al., 1991 ). In a large multiethnic sample (n = 1031), a two-factor representation of the DHS fit the data significantly better than a one-factor model. These findings suggest that the DHS is better conceptualized as being composed of Agency and Pathways components and not as a unidimensional representation of general hope. Multigroup analyses revealed that the factor pattern coefficients were invariant across gender and ethnic groups, respectively, thus establishing metric invariance of the DHS. However, item intercepts, item uniqueness terms, the factor variance for the Agency factor, and both the Agency and Pathways latent factor means statistically differed as a function of gender (but not ethnicity). These findings suggest that while the two-factor structure of the DHS is relatively stable and robust, both measurement and substantive differences as a function of gender must be accounted for.

Factor Structure and Reliability of Burnout among Emirati and Palestinian Teachers

2000 ◽  
Vol 87 (2) ◽  
pp. 597-610 ◽  
Author(s):  
Maher M. Abu-Hilal ◽  
Abdulqader A. El-Emadi
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Complex Structure ◽  
Maslach Burnout Inventory ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Personal Success ◽  
Three Factor

To assess the construct validity and magnitude of burnout among Emirati and Palestinian teachers, a total of 357 Emirati and 261 Palestinian teachers responded to the Maslach Burnout Inventory. Separate exploratory factor analyses clearly identified four factors for the Emirati sample and three factors for the Palestinian sample but with more complex structure than that for the Emirati sample. Confirmatory factor analyses confirmed the four-factor model for Emirati sample and the three-factor structure for the Palestinian sample but some difficulty arose with Items 5, 15, and 22. Coefficients alpha for the four subscales ranged from .59 to .85 for Emirati teachers and from .58 to .88 for the Palestinian sample. Palestinian teachers reported stronger feelings of emotional exhaustion than Emirati teachers did. The two groups of teachers reported similar feelings about personal success and similar attitudes toward their students and their jobs.

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.

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.

scholarly journals Factor structure of Raven's Coloured Progressive Matrices

Psico-USF ◽  
2016 ◽  
Vol 21 (2) ◽  
pp. 259-272 ◽  
Author(s):  
Monalisa Muniz ◽  
Cristiano Mauro Assis Gomes ◽  
Sonia Regina Pasian
Keyword(s):  
Standard Deviation ◽  
Factor Structure ◽  
Factor Model ◽  
Specific Factor ◽  
General Factor ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Specific Factors ◽  
Three Factor

Abstract This study's objective was to verify the factor structure of Raven's Coloured Progressive Matrices (CPM). The database used included the responses of 1,279 children, 50.2% of which were males with an average age of 8.48 years old and a standard deviation of 1.49 yrs. Confirmatory factor analyses were run to test seven models based on CPM theory and on a Brazilian study addressing the test's structure. The results did not confirm the CPM theoretical proposition concerning the scales but indicated that the test can be interpreted by one general factor and one specific factor or one general factor and three specific factors; both are bi-dimensional models. The three-factor model is, however, more interpretable, suggesting that the factors can be used as a means of screening children's cognitive developmental stage.

Psychometric properties of the Danish student well-being questionnaire assessed in >250,000 student responders

2018 ◽  
Vol 46 (8) ◽  
pp. 877-885 ◽  
Author(s):  
Janni Niclasen ◽  
Maria Keilow ◽  
Carsten Obel
Keyword(s):  
Classroom Management ◽  
Psychometric Properties ◽  
Factor Structure ◽  
School Connectedness ◽  
Well Being ◽  
Descriptive Statistics ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses

Background: Well-being is considered a prerequisite for learning. The Danish Ministry of Education initiated the development of a new 40-item student well-being questionnaire in 2014 to monitor well-being among all Danish public school students on a yearly basis. The aim of this study was to investigate the basic psychometric properties of this questionnaire. Methods: We used the data from the 2015 Danish student well-being survey for 268,357 students in grades 4–9 (about 85% of the study population). Descriptive statistics, exploratory factor analyses, confirmatory factor analyses and Cronbach’s α reliability measures were used in the analyses. Results: The factor analyses did not unambiguously support one particular factor structure. However, based on the basic descriptive statistics, exploratory factor analyses, confirmatory factor analyses, the semantics of the individual items and Cronbach’s α, we propose a four-factor structure including 27 of the 40 items originally proposed. The four scales measure school connectedness, learning self-efficacy, learning environment and classroom management. Two bullying items and two psychosomatic items should be considered separately, leaving 31 items in the questionnaire. Conclusions: The proposed four-factor structure addresses central aspects of well-being, which, if used constructively, may support public schools’ work to increase levels of student well-being.

Development and preliminary evaluation of a brief five-factor personality instrument

2021 ◽  
Vol 49 (7) ◽  
pp. 1-8
Author(s):  
Weiliang Lim ◽  
Elaine Chapman
Keyword(s):  
Internal Structure ◽  
Factor Structure ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Factor ◽  
Preliminary Evaluation ◽  
Response Format ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor

Instruments to measure personality traits in the five-factor model of personality are typically lengthy, which can hamper their use in studies with multiple measures. In this study we developed a brief five-factor instrument based on a bipolar statement response format and validated the instrument for use in the Singapore education context. The 20-item Brief Five-Factor Instrument (BFFI) comprises four items to measure each personality factor in the five-factor model. To evaluate the internal structure of the BFFI, students at two polytechnics in Singapore responded to the scale (Polytechnic A, n = 421; Polytechnic B, n = 271). Exploratory and confirmatory factor analyses were conducted to evaluate the factor structure of the measure. Results suggest that the BFFI has promise for use in the Singapore education context.

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