Review of A Primer of LISREL: Basic Applications and Programming for Confirmatory Factor Analysis Models.

1990 ◽  
Vol 35 (10) ◽  
pp. 1006-1006
Author(s):  
No authorship indicated
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Confirmatory Factor ◽  
Analysis Models

Giving G a Meaning: An Application of the Bifactor-(S-1) Approach to Realize a More Symptom-Oriented Modeling of the Beck Depression Inventory–II

Assessment ◽  
2018 ◽  
Vol 27 (7) ◽  
pp. 1429-1447 ◽  
Author(s):  
Manuel Heinrich ◽  
Pavle Zagorscak ◽  
Michael Eid ◽  
Christine Knaevelsrud
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Beck Depression Inventory ◽  
Factor Structure ◽  
Clinical Sample ◽  
First Order ◽  
Confirmatory Factor ◽  
Bifactor Models ◽  
Current Article ◽  
Analysis Models

The Beck Depression Inventory–II is one of the most frequently used scales to assess depressive burden. Despite many psychometric evaluations, its factor structure is still a topic of debate. An increasing number of articles using fully symmetrical bifactor models have been published recently. However, they all produce anomalous results, which lead to psychometric and interpretational difficulties. To avoid anomalous results, the bifactor-(S-1) approach has recently been proposed as alternative for fitting bifactor structures. The current article compares the applicability of fully symmetrical bifactor models and symptom-oriented bifactor-(S-1) and first-order confirmatory factor analysis models in a large clinical sample ( N = 3,279) of adults. The results suggest that bifactor-(S-1) models are preferable when bifactor structures are of interest, since they reduce problematic results observed in fully symmetrical bifactor models and give the G factor an unambiguous meaning. Otherwise, symptom-oriented first-order confirmatory factor analysis models present a reasonable alternative.

scholarly journals Modeling the construct validity of the Berlin Intelligence Structure Model

2015 ◽  
Vol 32 (1) ◽  
pp. 13-25 ◽  
Author(s):  
Heinz-Martin Süß ◽  
André Beauducel
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Model Test ◽  
Representative Sample ◽  
Integrative Model ◽  
Structure Model ◽  
Confirmatory Factor ◽  
Analysis Models ◽  
High Degree

The Berlin Intelligence Structure Model is a hierarchical and faceted model which is originally based on an almost representative sample of tasks found in the literature. Therefore, the Berlin Intelligence Structure Model is an integrative model with a high degree of generality. The present paper investigates the construct validity of this model by using different confirmatory factor analysis models. The results show that the model assumptions are supported only in part by the data. Moreover, it is demonstrated that there are different possibilities to incorporate the Berlin Intelligence Structure Model assumptions into confirmatory factor analysis models. The results are discussed with regard to the validity of the Berlin Intelligence Structure Model test, and the validity of the model.

Polish adaptation of the Revised Cheek and Buss Shyness scale and a significance of shyness in the context of personality traits and metatraits

2018 ◽  
Author(s):  
Maria Magdalena Kwiatkowska ◽  
Katarzyna Kwiatkowska ◽  
Radosław Rogoza
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Romantic Relationships ◽  
Personality Traits ◽  
Personality Trait ◽  
Self Report ◽  
The Internet ◽  
Confirmatory Factor ◽  
Polish Adaptation ◽  
Analysis Models

The aim of the current study is to prepare the Polish adaptation of the Revised Cheek and Buss Shyness Scale and to analyze relations between shyness, loneliness and personality traits. The study was conducted via the Internet, and a total of N = 314 adults participated and completed a set of self-report measures. Via comparisons of several confirmatory factor analysis models we demonstrated that the structure of the Polish adaptation of the scale is unidimensional. Consistent with research hypotheses, shyness was mostly correlated with loneliness and introversion; moreover, shyness was strongly negatively related to the personality metatrait of Plasticity and weakly but also negatively with the metatrait of Stability. In addition, individuals not engaged in romantic relationships scored significantly higher in shyness and loneliness, and lower in extraversion, openness, and Plasticity than individuals engaged in unformalized relationships. The results support the conclusion that shyness is a personality trait that significantly affects behavior by limiting the possibilities for adapting to changing environmental conditions.

Confirmatory Factor Analysis of the Beck Anxiety Inventory Among Chinese Postgraduates

2018 ◽  
Vol 46 (8) ◽  
pp. 1245-1254
Author(s):  
Yicheng Zhou ◽  
Jing An ◽  
Mingwang Cheng ◽  
Liying Sheng ◽  
Guoqiang Rui ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Reliability And Validity ◽  
Model Fit ◽  
Beck Anxiety Inventory ◽  
Confirmatory Factor ◽  
Competing Models ◽  
Potential Factor ◽  
Analysis Models

We examined the factor structure of the Beck Anxiety Inventory (BAI) with 531 students at 6 universities in Nanjing to evaluate its applicability as a measure of the anxiety of Chinese postgraduates. We performed exploratory factor analysis to identify the potential factor structure of the BAI. We referred to confirmatory factor analysis models from previous studies for model fit. All 7 competing models fitted well with the students' data. The 4-factor structure proposed by Wetherell and Areán yielded the best fit. Results indicate that the BAI has satisfactory reliability and validity among Chinese postgraduates.

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