Comparison of Different Estimation Methods for Categorical and Ordinal Data in Confirmatory Factor Analysis

Koğar, Hakan; Koğar, Esin Yılmaz

doi:10.21031/epod.94857

Cited by 54 publications

(48 citation statements)

References 21 publications

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“…Data regarding the 4-point version of the scale were obtained from a relatively small sample of transgender people. Simulations show that methods based on the WLS estimator perform worse on small sample sizes (where N < 200; Flora & Curran, 2004;Katsikatsou et al, 2012;Koğar & Koğar, 2015;Li, 2016). The ML estimator method is usually used when the distribution of the obtained data is similar to normal distribution.…”

Section: Results Confirmatory Factor Analysismentioning

confidence: 99%

Short Sexual Well-Being Scale – a cross-sectional validation among transgender and cisgender people

Gerymski¹

2020

Health Psychology Report

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BackgroundSexual well-being is often mistakenly operationalized simply as sexual satisfaction. The concept of sexual well-being has been often used as an umbrella term for positive aspects of sexuality, apart from its negative spheres. A new concept of sexual well-being was proposed in line with the World Health Organization (WHO) definition of sexual health. The definition tried to enrich the concept of sexual well-being, but it did not solve the problem of its operationalization. The aim of this study was to verify the psychometric properties of the new scale measuring the concept of sexual well-being.Participants and procedureTwo separate studies were conducted for the psychometric validation of the Short Sexual Well-Being Scale (SSWBS). This was because the first study on a group of transgender people was characterized by a smaller than recommended sample for confirmatory factor analysis. On this basis, a second study was conducted on a group of cisgender people. The study on a sample of transgender people (N = 111) verified the psychometric properties of the 4-point version of the scale. In the study on the cisgender sample (N = 211), it was decided to verify the psychometric properties of the 7-point version of the scale and verify whether a bigger response scale would have a positive effect on the reliability of the questionnaire.ResultsThe confirmatory factor analysis, reliability analysis using alpha and total omega coefficients, and two measures of validity (content and criterion validity) were applied. The results indicated that the SSWBS had good psychometric properties.ConclusionsOverall, the presented scale shows good psychometric properties. Both versions of the scale can be used in the quantitative research, but it is recommended to use the 7-point version of the scale. The SSWBS is one of the first questionnaires constructed in accordance with the sexual well-being concept.

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Section: Results Confirmatory Factor Analysismentioning

confidence: 99%

Short Sexual Well-Being Scale – a cross-sectional validation among transgender and cisgender people

Gerymski¹

2020

Health Psychology Report

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“…When table 4 is examined, it has been determined that the estimations made with the maximum likelihood and unweighted least square methods give very close fit index results. Koğar and Yılmaz Koğar (2015) stated that unweighted least squares (ULS) method used in confirmatory factor analysis of ordinal data is a suitable technique for estimating parameters with a minimum number of repetitions and estimating the parameters. Similar results have also been obtained in this study.…”

Section: Resultsmentioning

confidence: 99%

The use of polychoric and Pearson correlation matrices in the determination of construct validity of Likert type scales

Özdemir

Toraman

Kutlu

2019

Turkish Journal of Education

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No matter how strong the theoretical infrastructure of a study is, if the measurement instruments do not have the necessary psychometric qualities, there will be a question of trust in interpreting the findings, and it will be inevitable to make wrong decisions with the results. One of the important steps in scale development/adaptation studies is to provide evidence of the experimental validity. In order to reveal evidence of construct validity of Likert type scales, to identify factor structures, to confirm previously predicted structures, factor analysis is used. The primary issue to be examined is the level of measurement of the variable and one of the leading decisions that must be taken is which relation matrix will be used. This descriptive research is based on the effects of using Pearson or polychoric correlation matrix in the factor analysis. It is determined that items showed different "item-total correlations", "loading values" and "correlation coefficients", different factor numbers emerged, different items were removed out of the scale, confirmation status of the structure has changed.

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“…An Unweighted Least Squares (ULS) estimation method, based on the polychoric correlation matrix (see Appendix) with robust correction -mean-and variance-adjusted unweighted least squares (ULSMV), was used to address the Likert scale categorical nature of the data in the CFA (see e.g., Kogar & Kogar, 2015).…”

Section: Discussionmentioning

confidence: 99%

Psychometric Evaluation and Initial Validation of the Slovak Version of the Goal Adjustment Scale (GAS)

Ráczová¹,

Kačmár²,

Hricová³

2021

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The aim of this study was to pilot test the psychometric properties of the Slovak version of the Goal Adjustment Scale (GAS) in a student sample. The research sample consisted of 636 students (355 secondary school pupils and 281 university students). The results of the confirmatory factor analysis supported the 2-factor structure (as correlating factors) in the Slovak version of the scale. The internal consistency estimates of two factors (goal disengagement and reengagement) were relatively satisfactory. Regarding the convergent validity, the negative correlations between goal disengagement and dispositional optimism (LOT-R), hope (Snyder's Hope Scale) and self-regulation (SRQ) have been found. Moreover, significant positive correlations were only found in the case of goal reengagement and pathway as a factor of dispositional hope. However, the study did not support the relationship between adjustment capacities and subjective well-being measured through the frequency of positive and negative emotions (SEHP). One of the limitations of the research was that the test-retest reliability was not tested. It is considered important to perform further validation of the GAS in the future as the current results are preliminary. Nevertheless, the GAS seems to be an efficient tool in detecting adjustment strategies in the case of obstacles in the goal achieving process.

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Comparison of Different Estimation Methods for Categorical and Ordinal Data in Confirmatory Factor Analysis

Cited by 54 publications

References 21 publications

Short Sexual Well-Being Scale – a cross-sectional validation among transgender and cisgender people

Short Sexual Well-Being Scale – a cross-sectional validation among transgender and cisgender people

The use of polychoric and Pearson correlation matrices in the determination of construct validity of Likert type scales

Psychometric Evaluation and Initial Validation of the Slovak Version of the Goal Adjustment Scale (GAS)

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