Helping Orientations: Four Dimensions

The underlying factor structure of four helping and coping orientations was investigated. The four orientations are the foundations of four models of helping and coping. Each model consists of a person's orientations toward helping behavior and the set of likely factors and behaviors related to the orientations. The orientations are believed to influence how a person interacts with others in a helping situation and how that person attempts to help himself (cope). Factor analysis in two studies supports the prediction of four helping orientations across a convenience and a target sample. Secondary, higher-order factor analysis further provides support based on the convenience sample, but not the target sample.

Download Full-text

Exploratory Higher Order Analysis of the Luria Interpretive Model on the Kaufman Assessment Battery for Children–Second Edition (KABC-II) School-Age Battery

Assessment ◽

10.1177/1073191115614081 ◽

2015 ◽

Vol 24 (4) ◽

pp. 540-552 ◽

Cited By ~ 6

Author(s):

Ryan J. McGill ◽

Angelia R. Spurgin

Keyword(s):

Factor Analysis ◽

Exploratory Factor Analysis ◽

Factor Structure ◽

Age Groups ◽

Higher Order ◽

General Factor ◽

Normative Sample ◽

Assessment Battery ◽

Order Factor ◽

Interpretive Scheme

Higher order factor structure of the Luria interpretive scheme on the Kaufman Assessment Battery for Children–Second Edition (KABC-II) for the 7- to 12-year and the 13- to 18-year age groups in the KABC-II normative sample ( N = 2,025) is reported. Using exploratory factor analysis, multiple factor extraction criteria, and hierarchical exploratory factor analysis not included in the KABC-II manual, two-, three-, and four-factor extractions were analyzed to assess the hierarchical factor structure by sequentially partitioning variance appropriately to higher order and lower order dimensions as recommended by Carroll. No evidence for a four-factor solution was found. Results showed that the largest portions of total and common variance were accounted for by the second-order general factor and that interpretation should focus primarily, if not exclusively, at that level of measurement.

Download Full-text

Examining the factor structure and its replicability across multiple listening test forms: Validity evidence for the Michigan English Test

Language Testing ◽

10.1177/02655322211018139 ◽

2021 ◽

pp. 026553222110181

Author(s):

Tingting Liu ◽

Vahid Aryadoust ◽

Stacy Foo

Keyword(s):

Factor Analysis ◽

Factor Structure ◽

Factor Model ◽

General Factor ◽

Validity Evidence ◽

Multiple Test ◽

Underlying Factor ◽

Congruence Coefficient ◽

Confirmatory Factor ◽

Order Factor

This study evaluated the validity of the Michigan English Test (MET) Listening Section by investigating its underlying factor structure and the replicability of its factor structure across multiple test forms. Data from 3255 test takers across four forms of the MET Listening Section were used. To investigate the factor structure, each form was fitted with four Bayesian confirmatory factor analysis (CFA) models: (1) a three correlated-factor model, (2) a bi-factor model, (3) a higher-order factor model, and (4) a single general-factor model. In addition, a four-pronged heuristic comprising construct delineation, construct operationalization, factor structure analysis, and congruence coefficient was developed to examine the replicability of factor structures across the test forms. Results from the CFA models showed that the test forms were unidimensional and the four-pronged heuristic indicated that the test construct was consistently operationalized across forms. Furthermore, the congruence coefficient indicated that the factor structure representing listening was highly similar and replicable across test forms. In sum, the construct of the MET Listening Section did not comprise divisible subskills. Yet, the unidimensional factor structure of the test was replicable across the test forms.

Download Full-text

Higher Order Factor Structure Of A Self-Control Test: Evidence From Confirmatory Factor Analysis With Polychoric Correlations

Educational and Psychological Measurement ◽

10.1177/0013164402239320 ◽

2003 ◽

Vol 63 (1) ◽

pp. 112-127 ◽

Cited By ~ 38

Author(s):

David B. Flora ◽

Eli J. Finkel ◽

Vangie A. Foshee

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Factor Structure ◽

Higher Order ◽

Self Control ◽

Control Test ◽

Polychoric Correlations ◽

Confirmatory Factor ◽

Order Factor

Download Full-text

The Factor Structure and Psychometric Properties of the Resiliency Scale in Chinese Undergraduates

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000023 ◽

2010 ◽

Vol 26 (3) ◽

pp. 162-171 ◽

Cited By ~ 11

Author(s):

Lixia Cui ◽

Xiujie Teng ◽

Xupei Li ◽

Tian P.S. Oei

Keyword(s):

Factor Analysis ◽

Psychometric Properties ◽

Factor Structure ◽

Undergraduate Students ◽

Concurrent Validity ◽

Higher Order ◽

Criterion Variable ◽

Confirmatory Factor ◽

High Level ◽

Chinese Undergraduates

The current study examined the factor structure and the psychometric properties of Sandra Prince-Embury’s Resiliency Scale for Adolescents (RESA) in Chinese undergraduates. A total of 726 undergraduate students were randomly divided into two subsamples: Sample A was used for the exploratory factor analysis (EFA) and Sample B was used for the confirmatory factor analysis (CFA). The EFA revealed that 56 items and a model of 10 factors with 3 higher order factors (as described by Sandra) were to be retained; CFA with Sample B confirmed this result. The overall scale and the subscales of the Chinese-RESA demonstrated a high level of internal consistency. Furthermore, concurrent validity was demonstrated by the correlation of the scale with other instruments such as the PANAS and the CSS, and the predictive validity was confirmed via three multiple regression analyses using the PANAS as a criterion variable: one for the 10 subscales of the C-RESA, one for the 3 higher order scales, and one for the total C-RESA. We concluded that the C-RESA may be used for research into Chinese undergraduates’ adaptive behaviors.

Download Full-text

A multi-group higher-order factor analysis for studying the gender-effect in Teacher Job Satisfaction

METRON ◽

10.1007/s40300-021-00204-x ◽

2021 ◽

Author(s):

Carlo Cavicchia ◽

Pasquale Sarnacchiaro

Keyword(s):

Job Satisfaction ◽

Factor Analysis ◽

Secondary School Teachers ◽

Estimation Method ◽

Likelihood Estimation ◽

Higher Order ◽

Teacher Job Satisfaction ◽

Public Secondary School ◽

Order Factor ◽

Maximum Likelihood Estimation Method

AbstractTeachers’ performances also depend on whether and how they are satisfied with their job. Therefore, Teacher Job Satisfaction must be considered as the driver of teachers’ accomplishments. To plan future policies and improve the overall teaching process, it is crucial to understand which factors mostly contribute to Teacher Job Satisfaction. A Common Assessment Framework and Education questionnaire was administered to 163 Italian public secondary school teachers to collect data, and a second-order factor analysis was used to detect which factors impact on Teacher Job Satisfaction, and to what extent. This model-based approach guarantees to detect factors which respect important properties: unidimensionality and reliability. All the coefficients are estimated according to the maximum likelihood estimation method in order to make inference on the parameters and on the validity of the model. Moreover, a new multi-group test for higher-order factor analysis was proposed and implemented. Finally, we analyzed in detail whether the factors impacting Teacher Job Satisfaction are characterized by gender.

Download Full-text

Correction to: A multi-group higher-order factor analysis for studying the gender-effect in Teacher Job Satisfaction

METRON ◽

10.1007/s40300-021-00209-6 ◽

2021 ◽

Author(s):

Carlo Cavicchia ◽

Pasquale Sarnacchiaro

Keyword(s):

Job Satisfaction ◽

Factor Analysis ◽

Higher Order ◽

Teacher Job Satisfaction ◽

Gender Effect ◽

Order Factor

Download Full-text

The low- and higher-order factor structure of symptoms in patients with a first episode of psychosis

Schizophrenia Research ◽

10.1016/j.schres.2013.03.018 ◽

2013 ◽

Vol 147 (1) ◽

pp. 116-124 ◽

Cited By ~ 28

Author(s):

Victor Peralta ◽

Lucía Moreno-Izco ◽

Laura Calvo-Barrena ◽

Manuel J. Cuesta

Keyword(s):

Factor Structure ◽

Higher Order ◽

First Episode ◽

Order Factor

Download Full-text

Confirmatory Factor Analysis and Gender Invariance of the Revised IRMA Scale in Nigeria

Affilia ◽

10.1177/0886109918803645 ◽

2018 ◽

Vol 34 (1) ◽

pp. 83-98 ◽

Cited By ~ 3

Author(s):

Sunday B. Fakunmoju ◽

Tina Abrefa-Gyan ◽

Ntandoyenkosi Maphosa

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Factor Structure ◽

Rape Myths ◽

Cross Sectional ◽

Convenience Sample ◽

Gender Invariance ◽

Confirmatory Factor ◽

Gender Based ◽

And Gender

Research scales developed in one society are often validated in another society to determine the factor structure and measurement equivalence of the scales. Using a convenience sample of 378 respondents from two cross-sectional studies, the present analyses examined confirmatory factor analysis (CFA) and gender invariance in the Illinois Rape Myth Acceptance (IRMA) Scale in Nigeria. Specifically, the analyses examined whether the scale holds similar factor structure, whether the latent means can be compared, and whether respondents interpreted items similarly or ascribed the same meaning to them across gender. Based on the analyses, CFA results validated the hypothesized multidimensional four-factor structure of IRMA, namely, “she asked for it,” “he didn’t mean to,” “it wasn’t really rape,” and “she lied.” Similarly, the IRMA measurement was invariant (partial scalar invariance) across gender, suggesting that men and women interpreted IRMA’s items and constructs similarly. Results of an independent-samples t test suggested that women were more likely than men to reject the myth that female victim of rape “lied.” In general, preliminary findings indicated that IRMA is suitable for research on rape myths in Nigeria. Knowledge generated from its use may enhance understanding of rape myths, rape-supportive behaviors, and rape prevention and victim intervention programs.

Download Full-text