scholarly journals Development and Validation of the “Tübingen Inventory to Measure Teachers’ Profession-Specific Value Orientations” (TIVO)

AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842110335
Author(s):  
Samuel Merk ◽  
Martin Drahmann ◽  
Colin Cramer
Keyword(s):  
Factor Analysis ◽  
Factor Loading ◽  
Second Order ◽  
Value Orientations ◽  
Order Model ◽  
First Order ◽  
Confirmatory Factor ◽  
Everyday Work ◽  
Order Factor ◽  
Development And Validation

Broadly understood, values represent orientation guidelines for daily action, thinking, and feeling. Thus, they affect teachers’ everyday work and are among their professional competencies. While general values and some single profession-specific values of teachers (e.g., responsibility) have already been investigated empirically, the current study aims to cover a broader range of profession-specific values by developing and validating the Tübingen Inventory to Measure Teachers’ Profession-Specific Value Orientations (TIVO), based on three independent studies with pre-service (Studies 1 and 2; N1 = 334, N2 = 239) and in-service teachers (N3 = 308). The results demonstrate that the TIVO is appropriate to assess four profession-specific values in a second-order model: caring, justice, responsibility, and truthfulness as first-order factors, with fairness as a second-order factor loading on the latter three first-order factors. The results from preregistered experiments and confirmatory factor analysis provide consistent evidence for the construct validity of the TIVO.

Confirmatory Factor Analysis of the Group Environment Questionnaire with an Intercollegiate Sample

1996 ◽  
Vol 18 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Fuzhong Li ◽  
Peter Harmer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Group Cohesion ◽  
Factor Models ◽  
Second Order ◽  
First Order ◽  
Confirmatory Factor ◽  
Group Environment ◽  
Order Factor ◽  
Group Environment Questionnaire

This study was designed to assess the factorial construct validity of the Group Environment Questionnaire (GEQ; Carron, Widmeyer, & Brawley, 1985) within a hypothesis-testing framework. Data were collected from 173 male and 148 female intercollegiate athletes. Based on Carron et al.’s (1985) conceptual model of group cohesion, the study examined (a) the extent to which the first-order four-factor model could be confirmed with an intercollegiate athlete sample and (b) the degree to which higher order factors could account for the covariation among the four first-order factors. The a priori models of GEQ, including both the first- and second-order factor models, were tested through confirmatory factor analysis (CFA). CFA results showed that the theoretically specified first- and second-order factor models fit significantly better than all alternative models. These results demonstrated that the GEQ possesses adequate factorial validity and reliability as a measure of the sport group cohesion construct for an intercollegiate athlete sample.

scholarly journals Examining the Impostor-Profile—Is There a General Impostor Characteristic?

2021 ◽  
Vol 12 ◽  
Author(s):  
Fabio Ibrahim ◽  
Johann-Christoph Münscher ◽  
Philipp Yorck Herzberg
Keyword(s):  
Convergent Validity ◽  
Factor Model ◽  
Second Order ◽  
Model Fit ◽  
Impostor Phenomenon ◽  
General Factor ◽  
Order Model ◽  
First Order ◽  
Order Factor ◽  
Best Fit

The Impostor-Profile (IPP) is a six-dimensional questionnaire measuring the Impostor Phenomenon facets. This study aims to test (a) the appropriateness of a total score, (b) measurement invariance (MI) between gender, (c) the reliability of the IPP, and (d) the convergent validity of the IPP subscales. The sample consisted of N = 482 individuals (64% female). To identify whether the scales of the IPP form a total score, we compared four models: (1) six correlating subscales, (2) a general factor model, (3) a second-order model with one second-order factor and six first-order factors, and (4) a bifactorial model with six group factors. The bifactorial model obtained the best fit. This supports the assumption of a total impostor score. The inspection of structural validity between gender subgroups showed configural, metric, and partial scalar MI. Factor mean comparisons supported the assumption that females and males differ in latent means of the Impostor Phenomenon expressions. The omega coefficients showed sufficient reliability (≥0.71), except for the subscale Need for Sympathy. Overall, the findings of the bifactor model fit and construct validity support the assumption that the measurement through total expression is meaningful in addition to the theoretically formulated multidimensionality of the Impostor Phenomenon.

scholarly journals Trust as a factor in determining how to attract, motivate and retain talentT

2002 ◽  
Vol 28 (4) ◽  
Author(s):  
Nico Martins ◽  
Hartmut Von der Ohe
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Strong Correlation ◽  
Second Order ◽  
Underlying Factor ◽  
Confirmatory Factor ◽  
Order Factor ◽  
Second Order Factor Analysis

The aim of this study was to validate a questionnaire that can be used to determine how employees select the best company to work for. The second focus was to determine the role of trust in a relationship where employers must attract, motivate and retain employees. The confirmatory factor analysis resulted in 10 dimensions that supported most of the theoretically constructed dimensions. A second-order factor analysis was done and it became clear that there are two second-order factors underlying factor 1, namely leadership and trust. A strong correlation was found between trust and the dimensions of job satisfaction, relationships and leadership. Opsomming Die doel van die studie was om ‘n vraelys te valideer wat gebruik kon word om te bepaal hoe werknemers die beste organisasie om voor te werk kies. Die tweede fokus was om die rol van vertroue te bepaal in ‘n vertrouensverhouding waar werkgewers werknemers moet lok, motiveer en behou. ‘n Bevestigende faktorontleding het tien faktore tot gevolg gehad wat die meeste van die teoreties opgestelde dimensies ondersteun. ‘n Tweede-orde-faktorontleding van faktor een het aangetoon dat die faktor uit twee tweede-orde-faktore, leierskap en vertroue bestaan. ‘n Sterk korrelasie het voorgekom tussen vertroue en die dimensies van postevredenheid, verhoudinge en leierskap.

scholarly journals Attachment Styles Within the Coach-Athlete Dyad: Preliminary Investigation and Assessment Development

2013 ◽  
Vol 7 (2) ◽  
pp. 120-145 ◽  
Author(s):  
Louise Davis ◽  
Sophia Jowett
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Relationship Satisfaction ◽  
Attachment Style ◽  
Attachment Styles ◽  
Factor Model ◽  
Self Report ◽  
First Order ◽  
Confirmatory Factor ◽  
Order Factor

The present preliminary study aimed to develop and examine the psychometric properties of a new sport-specific self-report instrument designed to assess athletes’ and coaches’ attachment styles. The development and initial validation comprised three main phases. In Phase 1, a pool of items was generated based on pre-existing self-report attachment instruments, modified to reflect a coach and an athlete’s style of attachment. In Phase 2, the content validity of the items was assessed by a panel of experts. A final scale was developed and administered to 405 coaches and 298 athletes (N = 703 participants). In Phase 3, confirmatory factor analysis of the obtained data was conducted to determine the final items of the Coach-Athlete Attachment Scale (CAAS). Confirmatory factor analysis revealed acceptable goodness of ft indexes for a 3-first order factor model as well as a 2-first order factor model for both the athlete and the coach data, respectively. A secure attachment style positively predicted relationship satisfaction, while an insecure attachment style was a negative predictor of relationship satisfaction. The CAAS revealed initial psychometric properties of content, factorial, and predictive validity, as well as reliability.

Validity Evidence based on Internal Structure of Scores on the Spanish Version of the Self-Description Questionnaire-II

2012 ◽  
Vol 15 (1) ◽  
pp. 388-398 ◽  
Author(s):  
Cándido J. Ingles ◽  
María S. Torregrosa ◽  
María D. Hidalgo ◽  
Jose C. Nuñez ◽  
Juan L. Castejón ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Internal Structure ◽  
Factor Structure ◽  
Spanish Version ◽  
Evidence Based ◽  
Validity Evidence ◽  
First Order ◽  
Confirmatory Factor ◽  
Order Factor

The aim of this study was to analyze the reliability and validity evidence of scores on the Spanish version of Self-Description Questionnaire II (SDQ-II). The instrument was administered in a sample of 2022 Spanish students (51.1% boys) from grades 7 to 10. Confirmatory factor analysis (CFA) was used to examine validity evidence based on internal structure drawn from the scores on the SDQ-II. CFA replicated the correlated 11 first-order factor structure. Furthermore, hierarchical confirmatory factor analysis (HCFA) was used to examine the hierarchical ordering of self-concept, as measured by scores on the Spanish version of the SDQ-II. Although a series of HCFA models were tested to assess academic and non-academic components organization, support for those hierarchical models was weaker than for the correlated 11 first-order factor structure. Results also indicated that scores on the Spanish version of the SDQ-II had internal consistency and test-retest reliability estimates within an acceptable range.

The Countryside Image: An Investigation of Structure and Meaning

1977 ◽  
Vol 9 (7) ◽  
pp. 739-749 ◽  
Author(s):  
C J Palmer ◽  
M E Robinson ◽  
R W Thomas
Keyword(s):  
Factor Analysis ◽  
Basic Structure ◽  
Semantic Differential ◽  
Second Order ◽  
First Order ◽  
Verbal Representation ◽  
Order Factor ◽  
Realistic Appraisal ◽  
Second Order Factor Analysis

Images of places in the countryside are structured along a number of dimensions corresponding to the attributes perceived in a place. A suitably constructed semantic differential measures the verbal representation of such images. A factor analysis identifies the dimensions, and an oblique solution gives a realistic appraisal of the structure. A second-order factor analysis reveals the nature of the basic structure underlying the images of differing countryside places. It appears that the structure is composed of three composite dimensions (second-order factors) which subsume the initial dimensions (first-order factors) of the image.

Empirical Support for Resilience as More than the Counterpart and Absence of Vulnerability and Symptoms of Mental Disorder

2009 ◽  
Vol 30 (3) ◽  
pp. 138-151 ◽  
Author(s):  
Oddgeir Friborg ◽  
Odin Hjemdal ◽  
Monica Martinussen ◽  
Jan H. Rosenvinge
Keyword(s):  
Factor Analysis ◽  
Empirical Support ◽  
Second Order ◽  
Hierarchical Regression ◽  
Empirically Supported ◽  
Resilience Scale ◽  
Confirmatory Factor ◽  
Order Factor ◽  
Selection Of ◽  
Second Order Factor Analysis

The construct of resilience has been viewed as the direct counterpart of factors jeopardizing mental health, i.e., vulnerability and psychopathology. Any operationalization of resilience, thus, risks lying on the same latent continuum as indicators of mental illness, although indicating their absence. A factor analysis combining items from these measurement domains, followed by analyses of second-order factor scores was performed to test this assumption. A random selection of 1,724 participants (34% response rate) from the general population of Norway responded. All items were discriminated well by their primary factors. A second-order factor analysis extracted two components, which was confirmed on a hold-out sample by confirmatory factor methods. The Resilience Scale for Adults (RSA), which measures protective factors, correlated with both second-order factors. Thus, the RSA shared common variance with vulnerability and psychopathology, as well as being unique from illness indices. A hierarchical regression analysis that tested interactions between vulnerability and resilience further supported the unique contributions of the RSA. Thus, the notion of resilience-protective indicators as solely counterparts of vulnerability and psychopathology is not empirically supported.

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