scholarly journals Confirmatory analysis of the model to measure employee engagement

2016 ◽  
Vol 14 (2) ◽  
pp. 93-103
Author(s):  
Lailah Imandin ◽  
Christo Bisschoff ◽  
Christoff Botha
Keyword(s):  
Employee Engagement ◽  
Goodness Of Fit ◽  
Model Fit ◽  
Fit Indices ◽  
Managerial Decision ◽  
Satisfactory Model ◽  
Confirmatory Factor ◽  
Confirmatory Analysis ◽  
Engagement Factors ◽  
Fit Index

A model to measure the employee engagement was developed by researching historical employee engagement models. These models, consisting of employee engagement constructs and their measuring criteria, have been empirically validated and factorized into seven employee engagement factors. The seven employee engagement factors (of which factor one consists of two sub-factors) were subjected to confirmatory factor analysis to ensure the inclusion of the factors in the validated model to measure employee engagement. The model was also tested for goodness of fit, and the model shows good fit indices with the Comparative Fit Index (0.799), while the good model fit of the secondary fit indices RMSEA (0.078 within a narrow margin of 0.004) and Hoelter (113 at p <= 0.1; 111 at p <= 0.05) also show satisfactory model fit. Management can use the model as diagnostic tool to measure employee engagement and to apply it in managerial decision-making. On the other hand, academics could apply the model to extend their research in employee engagement

scholarly journals Validation of a Questionnaire Developed to Evaluate a Pediatric eHealth Website for Parents

2020 ◽  
Vol 17 (8) ◽  
pp. 2671 ◽  
Author(s):  
Bruno José Nievas Soriano ◽  
Sonia García Duarte ◽  
Ana María Fernández Alonso ◽  
Antonio Bonillo Perales ◽  
Tesifón Parrón Carreño
Keyword(s):  
Factor Analysis ◽  
Goodness Of Fit ◽  
Fit Indices ◽  
Content Validation ◽  
Confirmatory Factor Analyses ◽  
Expert Review ◽  
Confirmatory Factor ◽  
Competing Models ◽  
Confirmatory Analysis ◽  
Adequate Internal Consistency

There is a need for health professionals to provide parents with not only evidence-based child health websites but also instruments to evaluate them. The main aim of this research was to develop a questionnaire for measuring users’ evaluation of the usability, utility, confidence, the well-child section, and the accessibility of a Spanish pediatric eHealth website for parents. We further sought to evaluate the content validity and psychometric reliability of the instrument. A content validation study by expert review was performed, and the questionnaire was pilot tested. Psychometric analyses were used to establish scales through exploratory and confirmatory factor analyses. Reliability studies were performed using Cronbach’s alpha and two split-half methods. The content validation of the questionnaire by experts was considered as excellent. The pilot web survey was completed by 516 participants. The exploratory factor analysis excluded 27 of the 41 qualitative initial items. The confirmatory factor analysis of the resultant 14-item questionnaire confirmed the five initial domains detected in the exploratory confirmatory analysis. The goodness of fit for the competing models was established through fit indices and confirmed the previously established domains. Adequate internal consistency was found for each of the subscales as well as the overall scale.

scholarly journals PENGEMBANGAN INSTRUMEN SIKAP SPIRITUAL PADA SISWA SEKOLAH DASAR

2017 ◽  
Vol 8 (1) ◽  
pp. 17-25
Author(s):  
Muhammad Ichsan Muchtar
Keyword(s):  
Goodness Of Fit ◽  
Second Order ◽  
Model Fit ◽  
Factor I ◽  
Confirmatory Factor ◽  
Fit Index

Tujuan penelitian ini adalah untuk mengembangkan instrumen sikap spiritual pada siswa Sekolah Dasar (SD). Penelitian ini menggunakan metode SEM dengan second order confirmatory factor analyisis kepada 300 orang siswa SD dalam dua tahap, masing-masing terdiri dari 150 orang responden, untuk validasi konstruk secara empiris dan ketepatan model (model fit). Hasil analisis uji empiris menunjukkan ada 3 dimensi dan 12 indikator dengan loading factor λ≥ 0.30, t-hitung ≥ t-tabel, model memenuhi hampir keseluruhan kriteria nilai cut off Goodness of Fit Index yang dipersyaratkan untuk model fit, sehingga dikatakan model fit dengan nilai Construct Reliability (CR) dan Variance Extracted (VE) di atas nilai cut-off, yaitu: CR = 0.846 > 0.7 dan VE = 0.599 > 0.5. Dengan demikian, instrumen Sikap Spiritual pada siswa SD sudah valid dan reliabel.

scholarly journals Why We Need to Abandon Fixed Cutoffs for Goodness-of-Fit Indices: A Comprehensive Simulation and Possible Solutions

2021 ◽  
Author(s):  
Katharina Groskurth ◽  
Matthias Bluemke ◽  
Clemens M. Lechner
Keyword(s):  
Goodness Of Fit ◽  
Model Misspecification ◽  
Model Fit ◽  
Fit Indices ◽  
New Approach ◽  
Response Options ◽  
Factor Loadings ◽  
Confirmatory Factor ◽  
Main Effect ◽  
Extraneous Data

To evaluate model fit in confirmatory factor analysis, researchers compare goodness-of-fit indices (GOFs) against fixed cutoff values derived from simulation studies. However, these cutoffs may not be as broadly applicable as researchers typically assume, especially when used in settings not covered in the simulation scenarios from which these cutoffs were derived. Thus, we aim to evaluate (1) the sensitivity of GOFs to model misspecification and (2) their susceptibility to extraneous data and analysis characteristics (i.e., estimator, number of indicators, number of response options, distribution of response options, loading magnitude, sample size, and factor correlation). Our study includes the most comprehensive simulation on that matter to date. This enables us to uncover several previously unknown or at least underappreciated issues with GOFs. All widely used GOFs are far more susceptible to extraneous influences in even more complex ways than generally appreciated, and their sensitivity to misspecifications in factor loadings and factor correlations varies significantly across different scenarios. For instance, one of those strong influences on all GOFs constituted the magnitude of factor loadings (either as a main effect or two-way interaction with other characteristics). The strong susceptibility of GOFs to data and analysis characteristics showed that the practice of judging the fit of models against fixed cutoffs is more problematic than so-far assumed. Hitherto unnoticed effects on GOFs imply that no general cutoff rules can be applied to evaluate model fit. We discuss alternatives for assessing model fit and develop a new approach to tailor cutoffs for GOFs to research settings.

scholarly journals Psychometric Properties and Confirmatory Factor Analysis of the Spanish Version of the Maudsley Violence Questionnaire among Adolescent Students

2021 ◽  
Vol 18 (15) ◽  
pp. 8225
Author(s):  
Vanesa Pérez-Martínez ◽  
Miriam Sánchez-SanSegundo ◽  
Rosario Ferrer-Cascales ◽  
Oriol Lordan ◽  
Nicola Bowes ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Spanish Version ◽  
Total Variance ◽  
Fit Indices ◽  
Online Questionnaire ◽  
Adolescent Students ◽  
Confirmatory Factor ◽  
Fit Index

The Maudsley Violence Questionnaire (MVQ) is an instrument specifically developed to evaluate violent thinking through two subscales examining macho attitudes and the acceptance of violence. This study analyzed the psychometric properties and factor structure of the Spanish version of the MVQ questionnaire in a large sample of 1933 Spanish adolescents. An online questionnaire was used to collect variables, such as sociodemographic and sexism data. The factor structure showed good fit indices in Spanish adolescents, which were similar to the original scale. The exploratory analysis yielded a first factor that explained 11.3% of the total variance and a second factor that explained 10.8% of the total variance. The Goodness of Fit Index (GFI) (0.902), Adjusted Goodness of Fit Index (AGFI) (0.90), Normed Fit Index (NNFI) (0.85), and the Comparative Fit Index (CFI) (0.86) suggested that the model fit the data adequately (with values ≥ 0.90) and the Root Mean Square Error of Approximation (RMSEA) (≤0.10) values indicative of an adequate fit. This study contributes a Spanish-language validated tool to measure machismo and the acceptance of violence among adolescents.

Confirmatory Factor Analysis of Implicit Beliefs Measure and the Role of Demographics among Pakistani Sample

2020 ◽  
Vol 23 ◽  
Author(s):  
Maryam Khan ◽  
Anila Kamal
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Goodness Of Fit ◽  
Implicit Theories ◽  
Fit Indices ◽  
Adequate Model ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
Fit Index

Abstract Implicit theories (also referred to self-theories) represent a cognitive conceptualization about a matter, generally raised as a belief. It is marked as the primary aspect of cognitive processing among living beings affecting their overall behavior towards others’. In the present study, it is attempted to consider a Pakistani perspective on this phenomenon of self-theories and also to validate the implicit theories Scale. It is a measure of people’s beliefs about things to be fixed or changeable. A quantitative approach of correlational methodology was employed. Participants of the study were 355 Pakistani young adults with an age range of 20–30 years (M = 23.08, SD = 1.99). There were 175 males and 180 females (as they reported their gender) from Islamabad. Confirmatory factor analysis was computed to assess the dimensionality of the scale. An adequate model fit indices were found as Root Mean Square Error of Approximation = .04, Comparative Fit Index = .99, Tucker-Lewis Index = .98, Goodness of Fit Index = .97, and Incremental Fit Index = .99, confirming a bidimensional implicit theories measure. The reliability coefficients of Entity Theory and Incremental Theory subscales were assessed through internal consistency and test-retest methods which are found to be in an acceptable range. Demographic specifications are also addressed to reflect upon the indigenous importance of this concept. This will be an additive feature in the literature to consider the cultural specification enabling individuals to align their mindsets in the desired direction of growth and achievement.

A Bootstrap Procedure for Evaluating Goodness-of-Fit Indices of Structural Equation and Confirmatory Factor Models

1989 ◽  
Vol 26 (1) ◽  
pp. 105-111 ◽  
Author(s):  
Paula Fitzgerald Bone ◽  
Subhash Sharma ◽  
Terence A. Shimp
Keyword(s):  
Structural Equation ◽  
Goodness Of Fit ◽  
Factor Models ◽  
Model Fit ◽  
Fit Indices ◽  
Bootstrap Sampling ◽  
Bootstrap Procedure ◽  
Number Of Factors ◽  
Confirmatory Factor ◽  
Competing Models

The authors propose a bootstrap procedure for evaluating the goodness-of-fit indices for structural equation and confirmatory factor models. Monté Carlo simulations are applied to obtain a bootstrap sampling distribution (BSD) for each fit statistic. Then the BSD is used to evaluate model fit. Because the BSD takes into consideration sample size and model characteristics (e.g., number of factors, number of indicators per factor), its application in the proposed procedure makes it possible to compare the fits of competing models. Two previous studies are reanalyzed in illustrating how to implement the proposed procedure.

scholarly journals Fear of Falling Is Associated with Recurrent Falls in People with Multiple Sclerosis

2015 ◽  
Vol 17 (4) ◽  
pp. 164-170 ◽  
Author(s):  
Rajarshi Mazumder ◽  
William E. Lambert ◽  
Thuan Nguyen ◽  
Dennis N. Bourdette ◽  
Michelle H. Cameron
Keyword(s):  
Multiple Sclerosis ◽  
Goodness Of Fit ◽  
Fear Of Falling ◽  
Fit Indices ◽  
The Past ◽  
Recurrent Falls ◽  
Disability Status ◽  
Confirmatory Factor ◽  
Risk Factors For Falls ◽  
Fit Index

Background: People with multiple sclerosis (MS) fall frequently, and there are few clinically valid tools to measure the risk factors for falls. We assessed the unidimensionality of the 7-item Falls Efficacy Scale–International (FES-I), a measure of fear of falling, and determined whether the 7-item FES-I is associated with recurrent falls in people with MS. Methods: Falls were counted prospectively for 6 months using fall calendars in 58 people with MS (age, 18–50 years; Expanded Disability Status Scale score, 0–6). The FES-I was administered at baseline, and its unidimensionality was assessed by confirmatory factor analysis. The relationship between FES-I score and future falls, after adjusting for recurrent falls in the past year, was assessed by logistic regression. Results: Fifty-four participants who completed all assessments were included in the analysis. Goodness-of-fit indices confirmed a single-factor solution for the 7-item FES-I (discrepancy χ2, P = .101; Tucker-Lewis index, 0.953; comparative fit index, 0.969; root mean square error of approximation, 0.098). There was a significant association between fear of falling and falls in the following 3 months, independent of recurrent falls in the past year (odds ratio = 1.22, 95% confidence interval, 1.04–1.43, P = .016). Conclusions: The 7-item FES-I demonstrates good construct validity, allowing the total score to be used as a measure of fear of falling in people with MS. Fear of falling, as measured by the 7-item FES-I, is associated with future recurrent falls independent of past recurrent falls in people with MS.

scholarly journals Validation of the Malay Version of Mini-IPIP among Substance Use Disorder Patients Attending Methadone Clinics in Malaysia

2019 ◽  
Vol 16 (22) ◽  
pp. 4434
Author(s):  
Foo Weng Leong ◽  
Mohd Azhar Mohd Yasin ◽  
Eni Rahaiza Muhd Ramli ◽  
Nor Asyikin Fadzil ◽  
Yee Cheng Kueh
Keyword(s):  
Big Five ◽  
Model Fit ◽  
Personality Measures ◽  
Fit Indices ◽  
Item Pool ◽  
Local Setting ◽  
Big Five Model ◽  
Confirmatory Factor ◽  
Personality Item ◽  
Fit Index

There has been an increasing interest in personality study over the years. This has led to the necessity for personality measures with good psychometric properties. However, good personality measures are usually too cumbersome to apply in real practical settings due to their length. This study aims to validate a commonly used short personality measure of the Big Five model, i.e., Mini-IPIP (Mini International Personality Item Pool), which has never been validated and used in the substance abuse population in the local setting. The participants were 239 individuals attending one of the six methadone clinics in Malaysia. Structural analysis was conducted using confirmatory factor analysis. Results showed a good model fit for Mini-IPIP when item-parcelling and adding-in correlated uniqueness items were applied (fit indices: Comparative Fit Index = 0.949, Standardised Root Mean Residual = 0.044). Our study supported the five-factor solution for the Mini-IPIP. It is valid and reliable to be used among individuals with drug abuse in Malaysia.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Is That Measure Really One-Dimensional?

Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 188-196 ◽  
Author(s):  
Esther T. Beierl ◽  
Markus Bühner ◽  
Moritz Heene
Keyword(s):  
Model Fit ◽  
Nuisance Parameters ◽  
Factorial Validity ◽  
Fit Indices ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
One Dimensional ◽  
Confirmatory Factor Analysis Model ◽  
Cutoff Values ◽  
Confirmatory Factor

Abstract. Factorial validity is often assessed using confirmatory factor analysis. Model fit is commonly evaluated using the cutoff values for the fit indices proposed by Hu and Bentler (1999) . There is a body of research showing that those cutoff values cannot be generalized. Model fit does not only depend on the severity of misspecification, but also on nuisance parameters, which are independent of the misspecification. Using a simulation study, we demonstrate their influence on measures of model fit. We specified a severe misspecification, omitting a second factor, which signifies factorial invalidity. Measures of model fit showed only small misfit because nuisance parameters, magnitude of factor loadings and a balanced/imbalanced number of indicators per factor, also influenced the degree of misfit. Drawing from our results, we discuss challenges in the assessment of factorial validity.

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