scholarly journals Evaluate construct validity of the Revised American Pain Society Patient Outcome Questionnaire in gynecological postoperative patients using confirmatory factor analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sook Hui Chaw ◽  
Yoke Lin Lo ◽  
Jia Yin Lee ◽  
Jia Wing Wong ◽  
Wan Aizat Wan Zakaria ◽  
...  
Keyword(s):  
Patient Outcome ◽  
Factor Analysis ◽  
Pain Management ◽  
Factor Model ◽  
A Priori ◽  
Model Fit ◽  
Outcome Questionnaire ◽  
Confirmatory Factor ◽  
Chi Squared ◽  
Perception Of Care

Abstract Background The Revised American Pain Society Patient Outcome Questionnaire (APS-POQ-R) evaluates the patient-reported quality of pain management in adults. A validated APS-POQ-R is pivotal to guide effective pain management with better patient satisfaction. Previous studies revealed that subscales of “patients’ perception of pain management” were unstable cross-culturally. This study aims to evaluate the construct validity of the APS-POQ-R in gynecological postoperative patients with a multi-cultural background using confirmatory factor analysis to allow comparisons among different a priori models at the latent factor level. Methods Patients aged 18 years old or above and who were scheduled for gynecology surgery were selected. Three different models with a combination of latent factors were based on a priori hypotheses from previous studies. The root-mean-squared error of approximation, comparative fit index, Tucker-Lewis Index, Chi-squared test, and change in Chi-squared statistic given a change in degrees of freedom between models were used to assess the model fit to the present data. Results A total of 302 patients completed the questionnaire. The five-factor model which was based on Gordon’s study has an acceptable fit for the data and was superior when compared to the one-factor baseline model. Although the four-factor model, which originated from Botti’s study, also demonstrates a good model fit, the “perception of care” construct was excluded in this model. The “perception of care” construct is conceptually important as patient-centered care has become the focus of quality improvement of pain service. Conclusions The APS-POQ-R is easy to administer and is useful for quality evaluation in postoperative pain management. The present study demonstrates that a five-factor structure of the APS-POQ-R is the best fitting model in our patient sample. The results of this study provide further evidence to support the use of APS-POQ-R as a measurement tool for pain management evaluation in acute postoperative patients with a multi-cultural background.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

An Evaluation of Competing Structural Models of Adolescents' Concerns: Chi-Squared, Fit Indices, and Parsimony

1996 ◽  
Vol 79 (3) ◽  
pp. 859-863 ◽  
Author(s):  
Claudio Violato
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Structural Models ◽  
Original Model ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Chi Squared

In 1993 Adwere-Boamah and Curds replicated a 1988 study by Violato and Holden of a four-factor model of adolescents' concerns. Employing confirmatory factor analysis, they concluded that the model did not fit the data well. In a re-analysis, it is suggested in the present paper that on the contrary, the results support the original model.

Why Hazing? Measuring the Motivational Mechanisms of Newcomer Induction in College Fraternities

2019 ◽  
Vol 19 (3-4) ◽  
pp. 343-365 ◽  
Author(s):  
Gentry R. McCreary ◽  
Joshua W. Schutts
Keyword(s):  
Factor Analysis ◽  
Moral Disengagement ◽  
Factor Model ◽  
Model Fit ◽  
Correlation And Regression Analysis ◽  
The Social ◽  
Confirmatory Factor ◽  
Acceptable Model ◽  
International College ◽  
Group Members

AbstractHazing behaviors as a part of group initiations have been theorized to contribute to a sense of group solidarity, to ensure loyalty and commitment of group members, to teach group-relevant skills and attitudes to group members, and to reinforce the social hierarchy within groups. In a survey of members of an international college fraternity (n=2833), researchers propose and test a four-dimensional model of hazing motivation. Using exploratory factor analysis, the proposed four-factor model explains 74 percent of the overall variance and confirmatory factor analysis demonstrated acceptable model fit. Correlation and regression analysis suggested that social dominance- motivated hazing is strongly associated with hazing tolerance, moral disengagement, and a variety of measures related to organizational commitment and attachment.

scholarly journals ANALYSIS AND RESULTS: CONFIRMATORY FACTOR ANALYSIS THE MALAY VERSION OF DREEM INVENTORY WITH MEDICAL STUDENTS OF UNISZA, KUALA TERENGGANU, MALAYSIA

2017 ◽  
Vol 10 (12) ◽  
pp. 338
Author(s):  
Mainul Haque ◽  
Muhamad Saiful Bahri Yusoff ◽  
Md. Anwarul Azim Majumder ◽  
Zainal Zulkifli ◽  
Farah Hanani Binti Mohd Nasir
Keyword(s):  
Factor Analysis ◽  
Medical Students ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Cross Sectional Study ◽  
Model Fit ◽  
Cross Sectional ◽  
Confirmatory Factor

  Objectives: The DREEM inventory has been universally established as a generic instrument to assess health-related educational programs. There were some apprehensions regarding the psychometric properties of the DREEM raised in last few years. This study evaluated first ever the psychometric properties of the Bahasa Melayu version of the DREEM in a sample of Malaysian medical students.Methods: A cross-sectional study was carried and universal sampling method was applied. Researchers selected 1-5th-year medical students of Universiti Sultan Zainal Abidin, Malaysia, as study subjects. Researchers collected data through a guided self-administered questionnaire during a face-to-face session.Results: Confirmatory factor analysis (CFA) showed that the one factor model of DREEM-M (Model A), consisting 50 items were not fit, indicating it was a multidimensional instrument. On further CFA, it appeared that the proposed five-factor structure was not fit (Model B) as all the goodness-of-fit indices did not signify a model fit.Conclusions: The study findings revealed that the DREEM inventory 50-item inventory failed to achieve a model fit, but it demonstrated a high of internal consistency. The proposed 19-item DREEM-M revealed good model fit.

Confirmatory Factor Analysis of the Computer Hassles Scale

1998 ◽  
Vol 83 (3) ◽  
pp. 883-890
Author(s):  
Richard A. Hudiburg
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
A Priori ◽  
Latent Structure ◽  
Fit Indices ◽  
Normative Database ◽  
Confirmatory Factor ◽  
Best Fit

The objective of this research was to determine the latent structure of the Computer Hassles Scale using confirmatory factor analysis. This study employed a normative database of 1199 student computer users. Both a priori and a posteriori latent structure models were tested using LISREL. The analyses did not support a latent structure of the scale based on the scale's original two-factor definition. Using various goodness-of-fit indices, a four-factor model was the best fit.

Exploring the Multidimensional Facets of Authoritarianism: Authoritarian Aggression and Social Dominance Orientation

2008 ◽  
Vol 67 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Stefano Passini
Keyword(s):  
Social Dominance ◽  
Factor Model ◽  
Three Dimensional ◽  
Social Dominance Orientation ◽  
Model Fit ◽  
Regression Analyses ◽  
One Dimensional ◽  
Confirmatory Factor ◽  
The One ◽  
Better Than

The relation between authoritarianism and social dominance orientation was analyzed, with authoritarianism measured using a three-dimensional scale. The implicit multidimensional structure (authoritarian submission, conventionalism, authoritarian aggression) of Altemeyer’s (1981, 1988) conceptualization of authoritarianism is inconsistent with its one-dimensional methodological operationalization. The dimensionality of authoritarianism was investigated using confirmatory factor analysis in a sample of 713 university students. As hypothesized, the three-factor model fit the data significantly better than the one-factor model. Regression analyses revealed that only authoritarian aggression was related to social dominance orientation. That is, only intolerance of deviance was related to high social dominance, whereas submissiveness was not.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

Development of the Adherence to Healthy Behaviors Scale

2021 ◽  
pp. 105477382098862
Author(s):  
Chen-Hui Huang ◽  
Dhea Natashia ◽  
Tzu-Chia Lin ◽  
Miaofen Yen
Keyword(s):  
Factor Analysis ◽  
Protective Factor ◽  
Model Fit ◽  
Convenience Sample ◽  
Healthy Behaviors ◽  
Confirmatory Factor ◽  
Reliable Instrument ◽  
Principal Axis Factor Analysis ◽  
Southern Taiwan ◽  
Test Retest Reliability

Adherence to healthy behaviors is a protective factor in the disease progression of chronic kidney disease (CKD). Measuring adherence can lead to the recognition of unhealthy behaviors and the suggestion of programs to prevent poor health outcomes. An assessment measurement for patients with CKD not requiring dialysis was developed and psychometrically tested. A convenience sample ( n = 330) of patients with CKD attending a nephrology clinic in southern Taiwan completed the 13-item Adherence to Healthy Behaviors Scale (AHBS). A principal axis factor analysis and a parallel analysis demonstrated a three-factor structure accounting for 47.16% of the total variance. Confirmatory factor analysis indicated a good model fit. The criterion-related validity was adequate ( r = .51; p < .000), with a Cronbach’s alpha of .70; the test-retest reliability demonstrated good stability ( r = .70; p < .000). The AHBS is a valid, reliable instrument to assess adherence to healthy behaviors among patients with CKD.

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