Journal articles: 'Measurement invariance'

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Jang, Seulki, Eun Sook Kim, Chunhua Cao, Tammy D. Allen, Cary L. Cooper, Laurent M. Lapierre, Michael P. O’Driscoll, et al. "Measurement Invariance of the Satisfaction With Life Scale Across 26 Countries." Journal of Cross-Cultural Psychology 48, no. 4 (March 22, 2017): 560–76. http://dx.doi.org/10.1177/0022022117697844.

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The Satisfaction With Life Scale (SWLS) is a commonly used life satisfaction scale. Cross-cultural researchers use SWLS to compare mean scores of life satisfaction across countries. Despite the wide use of SWLS in cross-cultural studies, measurement invariance of SWLS has rarely been investigated, and previous studies showed inconsistent findings. Therefore, we examined the measurement invariance of SWLS with samples collected from 26 countries. To test measurement invariance, we utilized three measurement invariance techniques: (a) multigroup confirmatory factor analysis (MG-CFA), (b) multilevel confirmatory factor analysis (ML-CFA), and (c) alignment optimization methods. The three methods demonstrated that configural and metric invariances of life satisfaction held across 26 countries, whereas scalar invariance did not. With partial invariance testing, we identified that the intercepts of Items 2, 4, and 5 were noninvariant. Based on two invariant intercepts, factor means of countries were compared. Chile showed the highest factor mean; Spain and Bulgaria showed the lowest. The findings enhance our understanding of life satisfaction across countries, and they provide researchers and practitioners with practical guidance on how to conduct measurement invariance testing across countries.

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Xu, Hui, and Terence J. G. Tracey. "Use of multi-group confirmatory factor analysis in examining measurement invariance in counseling psychology research." European Journal of Counselling Psychology 6, no. 1 (February 14, 2017): 75–82. http://dx.doi.org/10.5964/ejcop.v6i1.120.

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The purpose of this article is to introduce the theoretical implications and analytic strategies of measurement invariance. The article is focused on three important invariance conditions, consisting of configural invariance, metric invariance, and scalar invariance. Configural invariance refers to a qualitatively invariant measurement pattern of latent constructs across groups. Metric invariance refers to a quantitatively invariant measurement model of latent constructs across groups. Scale invariance refers to invariant mean levels of latent constructs across groups. While each invariance condition depicts one aspect of the relation between latent constructs with manifest observations, a progressive statistical strategy of measurement invariance was introduced based on multi-group confirmatory factor analysis. The article also provided a case example illustrating how to apply and examine measurement invariance in counseling psychology, with detailed theoretical implications and analytic decision-makings in each step. Application of measurement invariance in measurement comparison across multiple groups (e.g., gender, developmental stages, and national boundaries) was discussed and recommended.

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Ding, Zhikun, Fungfai Ng, and Jiayuan Wang. "Testing trust scale measurement invariance in project teams." Journal of Engineering, Design and Technology 12, no. 2 (April 29, 2014): 209–22. http://dx.doi.org/10.1108/jedt-04-2012-0017.

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Purpose – An important assumption in testing theoretical models is measurement invariance. However, little research in construction project management investigates the issue of measurement invariance. To bridge the gap, the current paper aims at: first, testing trust measurement invariance in project teams across gender; second, delineating various measurement invariance tests and demonstrating them with Amos; and last but not least, increasing researchers' awareness about measurement invariance issue in the construction project management field. Design/methodology/approach – The measurement invariance of trust across gender is investigated using survey data collected from architects in project design teams of A-level architectural design institutes in China. Multisample confirmatory factor analysis is conducted with Amos to test configural invariance, metric invariance, scalar invariance, factor covariance and variance invariance, error variance invariance, latent mean invariance of the Chinese version of McAllister's two-dimension trust scale. Findings – All the test results of the above invariances are supportive. Goodness-of-fit indexes such as CFI deserve more empirical studies to verify. Research limitations/implications – The results imply that the trust structure of male and female architects is equivalent. In other words, male and female architect data of trust research in construction project management could be aggregated. Practical implications – It is recommended that test of measurement invariance should be conducted while new measurement scales are under construction. Originality/value – Since all the invariance tests are rarely conducted within a single study, the current research is the first paper to investigate the measurement invariance issue in the construction industry.

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Önen, Emine, and Melike Kübra Taşdelen Yayvak. "Investigation of Interrater Reliability in The Evaluation of Foreign Language Writing Skills With Multigroup Confirmatory Factor Analysis." Journal of Education and Training Studies 7, no. 1 (December 3, 2018): 30. http://dx.doi.org/10.11114/jets.v7i1.3421.

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In this study, it was aimed to examine the interrater reliability of the scoring of paragraph writing skills on foreign languages with the measurement invariance tests. The study group consists of 267 students studying English at the Preparatory School at Gazi University. In the study, where students write a paragraph on the same topic, the paragraphs are rated separately by three different interrater using the same scoring key. The evidence for the validity measurements was collected with AFA and DFA while the evidence for the reliability measurements was collected by the Cronbach-alpha (α) coefficient. As a result of testing with Multi-Group Confirmatory Factor Analysis within the context of the measurement invariance of the interrater reliability, no evidence of full and partial scalar invariance can be obtained while evidence of formal configural and metric invariance is obtained. As a result, the lack of evidence of scalar invariance means that raters scoring the writing skills do not use the same initial level of performance. In this case, the invariant uniqueness and invariant factor variances could not be tested, and therefore no evidence of reliability between raters could be obtained.

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Ceylan, Demet, Beykan Çizel, and Hatice KarakaŞ. "Testing Destination Image Scale Invariance For Intergroup Comparison." Tourism Analysis 25, no. 2 (July 8, 2020): 239–51. http://dx.doi.org/10.3727/108354220x15758301241756.

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In destination image studies, researchers often compare individuals and groups with measurement scales. Classical Test Theory (CTT) assumes, when comparing groups, that the scale measures the same social psychological construct in all groups. The assurance of measurement invariance is a prerequisite for meaningful comparisons across groups. This article reviews theoretical and methodological issues regarding measurement invariance within the framework of confirmatory factor analysis, and aims to test the measurement invariance of the destination image scale by nationality and gender. Confirmatory factor analysis assures that scores obtained from a destination image measurement model can be generalized for three nationalities and gender groups. In this respect, the results of the survey provide evidence that the scale can deliver valid and reliable measurements in determining the characteristics of British, German, and Russian tourists without gender bias. Invariance test assures the measurement model to be invariant for both females and males and therefore it is appropriate to compare the results across genders. The findings of this research and analysis methods used provide valuable insights to destination image literature and cast light on the path for future researchers.

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Sousa, Karen H., Stephen G. West, Stephanie E. Moser, Judy A. Harris, and Susanne W. Cook. "Establishing Measurement Invariance." Nursing Research 61, no. 3 (2012): 171–80. http://dx.doi.org/10.1097/nnr.0b013e3182544750.

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Stuckey, William, Timothy McDevitt, and Michael Silberstein. "No Preferred Reference Frame at the Foundation of Quantum Mechanics." Entropy 24, no. 1 (December 22, 2021): 12. http://dx.doi.org/10.3390/e24010012.

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Quantum information theorists have created axiomatic reconstructions of quantum mechanics (QM) that are very successful at identifying precisely what distinguishes quantum probability theory from classical and more general probability theories in terms of information-theoretic principles. Herein, we show how one such principle, Information Invariance and Continuity, at the foundation of those axiomatic reconstructions, maps to “no preferred reference frame” (NPRF, aka “the relativity principle”) as it pertains to the invariant measurement of Planck’s constant h for Stern-Gerlach (SG) spin measurements. This is in exact analogy to the relativity principle as it pertains to the invariant measurement of the speed of light c at the foundation of special relativity (SR). Essentially, quantum information theorists have extended Einstein’s use of NPRF from the boost invariance of measurements of c to include the SO(3) invariance of measurements of h between different reference frames of mutually complementary spin measurements via the principle of Information Invariance and Continuity. Consequently, the “mystery” of the Bell states is understood to result from conservation per Information Invariance and Continuity between different reference frames of mutually complementary qubit measurements, and this maps to conservation per NPRF in spacetime. If one falsely conflates the relativity principle with the classical theory of SR, then it may seem impossible that the relativity principle resides at the foundation of non-relativisitic QM. In fact, there is nothing inherently classical or quantum about NPRF. Thus, the axiomatic reconstructions of QM have succeeded in producing a principle account of QM that reveals as much about Nature as the postulates of SR.

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Meredith, William. "Measurement invariance, factor analysis and factorial invariance." Psychometrika 58, no. 4 (December 1993): 525–43. http://dx.doi.org/10.1007/bf02294825.

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Pyun, Do Young, Heetae Cho, and Ho Keat Leng. "Applicability of belief measures for advertising to sponsorship in sport." International Journal of Sports Marketing and Sponsorship 21, no. 2 (April 30, 2020): 351–69. http://dx.doi.org/10.1108/ijsms-06-2019-0059.

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PurposeWhile advertising and sponsorship are conceptually different, many studies have used the same measures for both constructs. The assumption is that respondents perceive both domains similarly. The purpose of this study was to test the invariance of the belief measures between the advertising and sponsorship measurement models across different consumer segments and to provide empirical justification for the practice.Design/methodology/approachTwo independent samples were recruited from two different consumer segments: university student consumers (n = 290) and general consumers (n = 324). This study conducted multigroup invariance tests using LISREL 8.80. The measurement and structural invariances were concerned with factor loadings (λ), factor variance and covariance (f) and error variance (θ) metrics.FindingsThe factor patterns of the belief model were generally invariant between the advertising and sponsorship models in both consumer groups. However, the respondents interpreted three items between advertising and sponsorship in different ways: one annoyance/irritation item in the generic consumer group and two falsity/no sense items in the student consumer groups.Originality/valueWhile the invariance test reveals three problematic items, the majority of items seem to be invariant, concluding that the advertising belief scale could be applicable to the sponsorship context.

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Kühne, Rinaldo. "Testing Measurement Invariance in Media Psychological Research." Journal of Media Psychology 25, no. 4 (January 1, 2013): 153–59. http://dx.doi.org/10.1027/1864-1105/a000096.

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Media psychology increasingly focuses on comparative research questions by comparing media use and media effects across different populations and across time. Such comparisons require that the constructs of interest be measured in the same way across populations – that is, invariant measures are required. However, this methodological issue has rarely been addressed in media psychology. In this article, we explain the concept of measurement invariance and illustrate how measurement invariance can be established to compare media use and media effects across populations and over time.

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Willoughby, Michael T., and John Sideris. "Commentary: Idiographic Measurement Invariance?" Measurement: Interdisciplinary Research & Perspective 5, no. 4 (December 4, 2007): 254–58. http://dx.doi.org/10.1080/15366360701775979.

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Millsap, Roger E. "Measurement Invariance, Predictive Invariance, and the Duality Paradox." Multivariate Behavioral Research 30, no. 4 (October 1995): 577–605. http://dx.doi.org/10.1207/s15327906mbr3004_6.

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Winter, Sonja D., and Sarah Depaoli. "An illustration of Bayesian approximate measurement invariance with longitudinal data and a small sample size." International Journal of Behavioral Development 44, no. 4 (October 16, 2019): 371–82. http://dx.doi.org/10.1177/0165025419880610.

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This article illustrates the Bayesian approximate measurement invariance (MI) approach in M plus with longitudinal data and small sample size. Approximate MI incorporates zero-mean small variance prior distributions on the differences between parameter estimates over time. Contrary to traditional invariance testing methods, where exact invariance is tested, this method allows for some “wiggle room” in the parameter estimates over time. The procedure is illustrated using longitudinal data on college students’ academic stress as it changes in the period leading up to and right after an important midterm. Results show that traditional invariance testing methods come to a standstill due to the small sample size. Bayesian approximate MI testing was able to identify non-invariant parameters, after which a partially invariant model could be estimated.

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Copez Lonzoy, Anthony, Sergio Dominguez-Lara, and César Merino-Soto. "¿Inestabilidad en el lado oscuro? estructura factorial, invarianza de medición y fiabilidad de la Dirty Dozen Dark Triad en población general de Lima." Revista de Psicopatología y Psicología Clínica 24, no. 3 (January 29, 2020): 153. http://dx.doi.org/10.5944/rppc.24335.

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Abstract: Instability on the dark side? Factorial structure, measurement invariance and reliability of the Dirty Dozen Dark Triad in the general population of Lima. The dark triad of the personality is a complex measure composed of three traits such as Machiavellianism, psychopathy and narcissism that are associated with destructive behaviors to the interests of others. The Dirty Dozen Dark Triad (DDDT) scale was used to evaluate the dark triad. The present study seeks to analyze the internal structure, measurement invariance and reliability of DDDT scores. 320 people were recruited (64.1% women), the average age was 24.4 and 89.7% were single. Four measurement models were identified by means of confirmatory factor analysis; the measurement invariance was also evaluated, which did not show a significant deterioration for the group according to gender. In addition, congeneric and tau-equivalent models were implemented and the accuracy of the scores for all the factors was > .70. This DDDT version provides useful evidence at the psychometric level to be implemented with a screening instrument in the psychological evaluation.Keywords: Dirty Dozen Dark Triad; validation; measurement invariance; personality.Resumen: Las triada oscura de la personalidad es una medida compleja compuesta de tres rasgos como maquiavelismo, psicopatía y narcisismo que están asociados a comportamientos destructivos a los intereses de los demás. Para evaluar la tríada oscura fue utilizada la escala Dirty Dozen Dark Triad (DDDT). El presente estudio busco analizar la estructura interna, invarianza de medida y la fiabilidad de las puntuaciones de la DDDT. Fueron reclutados 320 personas (64.1% mujeres), el promedio de edad fue 24.4 y el 89.7% fueron solteros. Se identificados cuatro modelos de medida mediante análisis factorial confirmatorio, también fue evaluada la invariancia de medida que no evidencio un deterioro significativo para el grupo según género. Además, fueron implementados modelos congenéricos y tau-equivalentes y la precisión de las puntuaciones para todos los factores fue >.70. Esta versión DDDT reporta evidencias útiles a nivel psicométrico para ser implementadas como instrumento de despistaje en la evaluación psicológica. Palabras clave: Dirty Dozen Dark Triad; validación; invarianza de medición; personalidad.

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Almaleki, D. "Stability of the Data-Model Fit over Increasing Levels of Factorial Invariance for Different Features of Design in Factor Analysis." Engineering, Technology & Applied Science Research 11, no. 2 (April 11, 2021): 6849–56. http://dx.doi.org/10.48084/etasr.4047.

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The aim of this study is to provide an empirical evaluation of the influence of different aspects of design in the context of factor analysis in terms of model stability. The overall model stability of factor solutions was evaluated by the examination of the order for testing three levels of Measurement Invariance (MIV) starting with configural invariance (model 0). Model testing was evaluated by the Chi-square difference test (Δx2) between two groups, and Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), and Tucker-Lewis Index (TLI). Factorial invariance results revealed that the stability of the models was varying over increasing levels of measurement as a function of Variable-To-Factor (VTF) ratio, Subject-To-Variable (STV) ratio, and their interactions. There were invariant factor loadings and invariant intercepts among the groups indicating that measurement invariance was achieved. For VTF ratios 4:1, 7:1, and 10:1, the models started to show stability over the levels of measurement when the STV ratio was 4:1. Yet, the frequency of stability models over 1000 replications increased (from 77% to 91%) as the STV ratio increased. The models showed more stability at or above 32:1 STV.

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Pauli, Roman, and Saskia Wilhelmy. "A short scale for measuring attitudes towards the doctor-patient relationship: psychometric properties and measurement invariance of the German Patient-Practitioner-Orientation Scale (PPOS-D6)." PeerJ 9 (December 8, 2021): e12604. http://dx.doi.org/10.7717/peerj.12604.

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Background The Patient-Practitioner Orientation Scale (PPOS) was originally developed to compare doctor’s and patient’s consensus regarding patient centeredness. Research assumed PPOS measurements to be comparable across different groups of participants, however, without assessing the actual validity of this assumption. In this study, we investigate the psychometric properties and measurement invariance of a short version of the German translation of the PPOS. Methods Based on a cross-sectional survey of N = 332 medical students, we present a short version of the German Patient-Practitioner-Orientation Scale (PPOS-D6) and examine its psychometric properties as well as measurement invariance across participants with varying levels of medical experience and gender using multigroup confirmatory factor analyses. Results Results indicate that PPOS-D6 provides valid and reliable measurements of patient-centeredness that are invariant across participants with different medical experience. Preliminary results also suggest invariance across gender. Conclusion PPOS-D6 is a suitable and efficient measure to compare group-specific attitudes towards the doctor-patient interaction. Additional research on convergent and discriminant validity and divergent study samples is advised.

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Raudenská, Petra, and Radka Hanzlová. "Nový přístup v testování ekvivalence na příkladu měření subjektivního blahobytu." Sociální studia / Social Studies 18, no. 1 (September 9, 2021): 53–72. http://dx.doi.org/10.5817/soc2021-1-53.

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Survey-based measures of subjective well-being are more and more often analyzed cross-culturally. However, international comparison of these measures requires measurement invariance. Therefore, the major goal of this study was to investigate the cross-country comparability of the five-item subjective well-being scales used in the International Social Survey Programme (2011, 2017). This study applied both the traditional exact and the more recent Bayesian approximate approach to assess whether the subjective well-being scales were measurement invariant. The Bayesian approach detected several non‑invariant items that were problematic for cross-national comparison and could be dropped from the scales. Consequently, measurement invariance was established in all countries for the reduced scales, allowing researchers to meaningfully compare their latent mean scores and the relationships with other theoretical constructs of interest. Thus, the study highlighted the advantages of using multiple indicators and the necessity of measurement invariance testing in subjective well-being research.

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Krieg, Alexander, Yiyuan Xu, and David C. Cicero. "Comparing Social Anxiety Between Asian Americans and European Americans: An Examination of Measurement Invariance." Assessment 25, no. 5 (June 29, 2016): 564–77. http://dx.doi.org/10.1177/1073191116656438.

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There have been over 30 studies and two meta-analyses comparing social anxiety between Asian Americans and European Americans. However, few have investigated the invariance of social anxiety measures that would make these comparisons appropriate. In the current study, we systematically examined psychometric properties and configural, metric, and scalar invariance of five social anxiety measures and four short forms that have been used more than once to compare Asian Americans ( n = 232) and European Americans ( n = 193). We found that four (i.e., SPS-6, SIAS-6, SPS, and SPAI-18) of the nine scales were scalar invariant, three scales (i.e., SIAS, SPAI, and B-FNES) only achieved configural invariance, and two scales (i.e., FNES and SADS) failed to achieve configural invariance. Latent mean comparisons based on the scalar invariant measures revealed higher social anxiety scores for Asian Americans than European Americans. The findings are discussed with regard to the issues and challenges when comparing social anxiety among different cultural and ethnic groups.

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French, Brian F., W. Holmes Finch, Bruce Randel, Brian Hand, and Chad M. Gotch. "Measurement invariance techniques to enhance measurement sensitivity." International Journal of Quantitative Research in Education 3, no. 1/2 (2016): 79. http://dx.doi.org/10.1504/ijqre.2016.073672.

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Petrocchi, Serena, Nanon HM Labrie, and Peter J. Schulz. "Measurement invariance of the Short Wake Forest Physician Trust Scale and of the Health Empowerment Scale in German and French women." Journal of Health Psychology 25, no. 4 (August 10, 2017): 558–69. http://dx.doi.org/10.1177/1359105317719582.

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Measurement invariance is a crucial prerequisite to carry out cross-cultural research and to provide knowledge that enables culturally diverse patients to feel comfortable with their health providers. Although trust in doctors and health empowerment are widely studied, no previous research has examined their measurement invariance. The Short Wake Forest Physician Trust scale and the Health Empowerment scale were administered online. Participants were 217 German-speaking women ( M = 39.07, standard deviation = 5.71) and 217 French-speaking women ( M = 39.11, standard deviation = 5.82). Demonstration of partial scalar invariance was met and reasons for non-invariant items are discussed. The study was evaluated applying COnsensus-based Standards for the selection of health status Measurement INstruments checklist.

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Borsboom, Denny, Jan-Willem Romeijn, and Jelte M. Wicherts. "Measurement invariance versus selection invariance: Is fair selection possible?" Psychological Methods 13, no. 2 (June 2008): 75–98. http://dx.doi.org/10.1037/1082-989x.13.2.75.

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Wang, Meng-Cheng, Yiyun Shou, Jinghui Liang, Hongyu Lai, Hong Zeng, Lina Chen, and Yu Gao. "Further Validation of the Inventory of Callous–Unemotional Traits in Chinese Children: Cross-Informants Invariance and Longitudinal Invariance." Assessment 27, no. 7 (April 25, 2019): 1668–80. http://dx.doi.org/10.1177/1073191119845052.

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The present study examined the factor structure and measurement invariance of the shortened versions of the Inventory of Callous–Unemotional Traits (ICU) with data from multiple informants. Five short versions of the ICU proposed in previous studies were tested and compared through confirmatory factor analysis. The measurement invariance across different informants (i.e., self-report, parent-report, and teacher-report) and longitudinal measurement invariance for the resulting best-fitting model were tested thoroughly. Results indicated that a shortened form that consists of 11 items (ICU-11) to assess callousness and uncaring factors had excellent overall fit. Moreover, the ICU-11 was invariant across informant and occasions. However, the ICU-11 was not without limitations; the internal consistency α for the uncaring factor with self-report scores was marginal. In conclusion, our findings suggest that the ICU-11 was an excellent fit for our data and displayed measurement invariance across informants and over time. The ICU-11 may be a promising assessment tool that could be used in research to assess callous–uncaring traits in Chinese children.

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Frank, Steven A., and D. Eric Smith. "Measurement Invariance, Entropy, and Probability." Entropy 12, no. 3 (February 26, 2010): 289–303. http://dx.doi.org/10.3390/e12030289.

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Kim, Eun Sook, Myeongsun Yoon, and Taehun Lee. "Testing Measurement Invariance Using MIMIC." Educational and Psychological Measurement 72, no. 3 (December 6, 2011): 469–92. http://dx.doi.org/10.1177/0013164411427395.

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Multiple-indicators multiple-causes (MIMIC) modeling is often used to test a latent group mean difference while assuming the equivalence of factor loadings and intercepts over groups. However, this study demonstrated that MIMIC was insensitive to the presence of factor loading noninvariance, which implies that factor loading invariance should be tested through other measurement invariance testing techniques. MIMIC modeling is also used for measurement invariance testing by allowing a direct path from a grouping covariate to each observed variable. This simulation study with both continuous and categorical variables investigated the performance of MIMIC in detecting noninvariant variables under various study conditions and showed that the likelihood ratio test of MIMIC with Oort adjustment not only controlled Type I error rates below the nominal level but also maintained high power across study conditions.

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Olino, Thomas M. "Clinical Applications of Measurement Invariance." Journal of Personality Assessment 102, no. 5 (July 24, 2020): 727–29. http://dx.doi.org/10.1080/00223891.2020.1793766.

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Chen, Ching-Chen, Jared M. Lau, George B. Richardson, and Chia-Liang Dai. "Measurement Invariance Testing in Counseling." Journal of Professional Counseling: Practice, Theory & Research 47, no. 2 (July 2, 2020): 89–104. http://dx.doi.org/10.1080/15566382.2020.1795806.

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Borsboom, Denny. "When Does Measurement Invariance Matter?" Medical Care 44, Suppl 3 (November 2006): S176—S181. http://dx.doi.org/10.1097/01.mlr.0000245143.08679.cc.

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Behrend, Tara S., Lori Foster Thompson, Adam W. Meade, Dale A. Newton, and Martha S. Grayson. "Measurement Invariance in Careers Research." Journal of Career Development 35, no. 1 (September 2008): 60–83. http://dx.doi.org/10.1177/0894845308317936.

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Meade, Adam W. "Statistical Approaches to Measurement Invariance." Structural Equation Modeling: A Multidisciplinary Journal 20, no. 1 (January 1, 2013): 168–74. http://dx.doi.org/10.1080/10705511.2013.742405.

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Baudson, Tanja Gabriele, Nora Jung, and Philipp Alexander Freund. "Measurement Invariance in a Grid-Based Measure of Academic Self-Concept." European Journal of Psychological Assessment 33, no. 6 (November 2017): 467–70. http://dx.doi.org/10.1027/1015-5759/a000298.

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Abstract. Grid-based measures, where item stems are rated across diverse domains or subjects, represent an economic measure to assess multifaceted constructs such as academic self-concept. Although testing for measurement invariance between groups (e.g., based on gender or age) and within subjects over time (e.g., in longitudinal research) is common practice, research on invariance across domains is still lacking. We examine measurement invariance across selected self-concept domains in the Differentiated School Self-Concept (DISC) Grid as an example of grid-based self-concept measures. Using a highly diverse student sample, we assessed invariance of the DISC grid across three academic domains (German, English, and mathematics). Based on adequate model fit within each domain, the DISC grid proved to be strictly invariant across the three subject-specific self-concepts (German, English, and mathematics). Implications for theory (e.g., Möller and Marsh’s Dimensional Comparison Theory), empirical research (e.g., on the Internal/External Frame of Reference model), assessment (e.g., regarding other measures using similarly worded items across domains, such as the Self-Description Questionnaires [SDQ]), and practice (e.g., academic counseling) are discussed.

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Muñoz-García, Laura Elvira, Carmen Gómez-Berrocal, Alejandro Guillén-Riquelme, and Juan Carlos Sierra. "Measurement Invariance across Sexual Orientation for Measures of Sexual Attitudes." International Journal of Environmental Research and Public Health 20, no. 3 (January 19, 2023): 1820. http://dx.doi.org/10.3390/ijerph20031820.

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Despite the growing interest in the study of sexual attitudes across sexual orientation, few studies have tested whether the instruments used to measure them are invariant. This study examined measurement invariance (configural, weak, strong, and strict) across sexual orientation in three different sexual attitude scales: the Sexual Opinion Survey (SOS) to assess erotophilia, the Hurlbert Index of Sexual Fantasy (HISF) to assess attitudes toward sexual fantasies, and the Negative Attitudes Toward Masturbation Inventory (NATMI) to assess negative attitudes toward masturbation. A total of 2293 Spanish adult men and women with different sexual orientations (i.e., heterosexual, bisexual, and gay) participated in the study. The results indicated strict invariance for HISF across sexual orientation and only weak invariance for SOS and NATMI. Differential item functioning was also found in two items of the NATMI scale. Evidence of validity was provided for the three scales that were studied.

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Sideridis, Georgios D., Ioannis Tsaousis, and Abeer A. Alamri. "Accounting for Differential Item Functioning Using Bayesian Approximate Measurement Invariance." Educational and Psychological Measurement 80, no. 4 (December 4, 2019): 638–64. http://dx.doi.org/10.1177/0013164419887482.

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The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of measurement invariance using relative compared to exact criteria. A secondary goal was to compare latent means across groups using invariant parameters only and through utilizing exact and relative evaluative-MI protocol suggested equivalence of the thresholds using prior variances equal to 0.10. Subsequent differences between groups were evaluated using effect size criteria and the prior-posterior predictive p-value (PPPP), which proved to be invaluable in attesting for differences that are beyond zero, some meaningless nonzero estimate, and the three commonly used indices of effect sizes described by Cohen in 1988 (i.e., .20, .50, and .80). Results substantiated the use of the PPPP for evaluating mean differences across groups when utilizing nonexact evaluative criteria.

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Ghaiumy Anaraky, Reza, Yao Li, and Bart Knijnenburg. "Difficulties of Measuring Culture in Privacy Studies." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (October 13, 2021): 1–26. http://dx.doi.org/10.1145/3479522.

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This paper addresses inconsistencies that exist in the measurement instruments HCI researchers use in cross-cultural studies. We study some commonly used measurement instruments that capture cultural dimensions at an individual level and conduct "measurement invariance tests," which test whether the questions comprising a construct have similar characteristics across different groups (e.g., countries). We find that these cultural dimensions are, to some extent, non-invariant, making statistical comparisons between countries problematic. Furthermore, we study the (non)invariance of the causal relationship between these cultural dimensions and privacy-related constructs, e.g., privacy concern and the amount of information users share on social media. Our results suggest that in several instances, these cultural dimensions have a different effect on privacy-related constructs per country. This severely reduces their usefulness for developing cross-cultural arguments in cross-country studies. We discuss the value of conducting measurement and causal non-invariance tests and urge scholars to develop more robust means of measuring culture.

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Jak, Suzanne. "Testing and Explaining Differences in Common and Residual Factors Across Many Countries." Journal of Cross-Cultural Psychology 48, no. 1 (October 22, 2016): 75–92. http://dx.doi.org/10.1177/0022022116674599.

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To make valid comparisons across countries, a measurement instrument needs to be measurement invariant across countries. The present article provides a nontechnical exposition of a recently proposed multilevel factor analysis approach to test measurement invariance across countries. It is explained that strong factorial invariance across countries implies equal factor loadings across levels and zero residual variance at the country level in a two-level factor model. Using two-level factor analysis, the decomposition of the variance at each level can be investigated, measurement invariance can be tested, and country-level variables can be added to explain differences in the common or residual factors. The approach is illustrated using two examples. The first example features data about well-being from the European Social Survey and the second example uses data about mathematical ability from the Programme for International Student Assessment (PISA) study. The input-files and annotated output-files for both examples are provided in the supplementary files.

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Rivera-Ottenberger, Diana, Mónica Guzmán-González, Carlos Calderón, Sagrario Yárnoz-Yaben, and Priscila Comino. "Forgiveness in the Context of Divorce: A Cross-Cultural Measurement Invariance Study via Multiple-Group Factor Analysis (CFA) across Chile and Spain." International Journal of Environmental Research and Public Health 18, no. 16 (August 4, 2021): 8236. http://dx.doi.org/10.3390/ijerph18168236.

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(1) Background: Current research on the factors involved in the adaptation process to divorce or separation has explored cross-cultural differences. An initial step in the cross-cultural field is to investigate whether the measurements applied are comparable in different cultural contexts. The aim of the present study is to test the measurement invariance of the Questionnaire of Forgiveness in Divorce-Separation (CPD-S); (2) Methods: The CPD-S was completed by 556 (M = 44.52, SD = 10.18) and 240 (M = 41.44, SD = 7.87) Chilean and Spanish divorced individuals, respectively. Confirmatory factor analyses in single samples and measurement invariance testing in a multi-group framework were conducted to test the cross-group equivalence; (3) Results: The single-factor structure of the CPD-S was supported in both countries. Measurement invariance analysis demonstrated that the CPD-S had partial scalar measurement invariance; (4) Conclusions: The evidence supports the conclusion that CPD-S operates similarly across both countries. Findings are discussed from a cross-cultural and methodological perspective.

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Tomas, Jose M., Tomás Caycho-Rodríguez, José Ventura-León, Patricia Sancho, Cirilo H. García, and Walter L. Arias. "Measurement Invariance of the Brief Resilient Coping Scale (BRCS) in Peruvian and Spanish Older Adults." Journal of Cross-Cultural Gerontology 36, no. 4 (November 8, 2021): 431–44. http://dx.doi.org/10.1007/s10823-021-09441-z.

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AbstractAlthough the Brief Resilient Coping Scale (BRCS) has been validated in some European and American countries, there are no studies that evaluate its factorial invariance among different nations. In this sense, the objective of the study is to evaluate the factorial invariance of the BRCS in samples of older adults in Peru and Spain, using multigroup Confirmatory Factor Analysis. 236 older adults from Peru participated (Mean age = 72.8, SD = 6.90) and 133 older adults from Spain (Mean age = 71, SD = 7). In the Peruvian sample 78.4% were women and 21.6% men; while in the Spanish sample the majority were women (69.9%). The BRCS was scalar invariant but not strictly invariant between Spain and Peru. Our results found invariance of the structure, factor loadings and intercepts in both countries. These results support the use of BRCS in studies that compare the resilience between samples of older adults in both countries, and encourage applied research for the development of resilience in older adults in Spain and Peru.

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Andersson, Björn, Hao Luo, Gloria H. Y. Wong, and Terry Y. S. Lum. "Longitudinal Measurement Properties of the Montreal Cognitive Assessment." Innovation in Aging 5, Supplement_1 (December 1, 2021): 12–13. http://dx.doi.org/10.1093/geroni/igab046.047.

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Abstract Background: The Montreal Cognitive Assessment (MoCA) has started to be widely used in longitudinal investigations to measure changes in cognition. However, the longitudinal measurement properties of MoCA have not been investigated. We aimed to examine the measurement invariance of individual MoCA items across four time points. Methods: We used longitudinal data collected between 2014 and 2017 from a cohort study on health and well-being of older adults in Hong Kong. The Cantonese version of the MoCA was used. We applied multiple group confirmatory factor analysis of ordinal variables to examine measurement invariance by educational level and across time points. Invariant items were identified by sequential model comparisons. Results: We included 1029 participants that answered MoCA items across all time points. We found that items Cube, Clock Hand and Clock Number had significantly different item parameters between participants with and without formal education at all time points. The selected model (RMSEA=0.031; SRMR=0.064) indicated that eight items (Trail, Cube, Clock Shape, Clock Number, Clock Hand, Abstraction, Short-term Memory, and Orientation) did not exhibit measurement invariance over time. However, the differences in item parameter estimate over time were marginal. Accounting for the lack of measurement invariance did not substantially affect classification properties based on cutoff values at the 2nd ( major neurocognitive disorder) and 7th (mild cognitive impairment) percentile. Conclusion: Our findings support using MoCA to assess changes in cognition over time in the study population. Future research should examine the longitudinal measurement properties of the test in other populations with different characteristics.

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Olivera-Aguilar, Margarita, Samuel H. Rikoon, Oscar Gonzalez, Yasemin Kisbu-Sakarya, and David P. MacKinnon. "Bias, Type I Error Rates, and Statistical Power of a Latent Mediation Model in the Presence of Violations of Invariance." Educational and Psychological Measurement 78, no. 3 (January 6, 2017): 460–81. http://dx.doi.org/10.1177/0013164416684169.

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When testing a statistical mediation model, it is assumed that factorial measurement invariance holds for the mediating construct across levels of the independent variable X. The consequences of failing to address the violations of measurement invariance in mediation models are largely unknown. The purpose of the present study was to systematically examine the impact of mediator noninvariance on the Type I error rates, statistical power, and relative bias in parameter estimates of the mediated effect in the single mediator model. The results of a large simulation study indicated that, in general, the mediated effect was robust to violations of invariance in loadings. In contrast, most conditions with violations of intercept invariance exhibited severely positively biased mediated effects, Type I error rates above acceptable levels, and statistical power larger than in the invariant conditions. The implications of these results are discussed and recommendations are offered.

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Eom, Hyo Jin, and Zhenqiu (Laura) Lu. "Establishing the measurement invariance in measures of consumers’ perceived value." Asia Pacific Journal of Marketing and Logistics 32, no. 5 (September 4, 2019): 1055–69. http://dx.doi.org/10.1108/apjml-03-2019-0135.

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Purpose Researchers have used the construct of consumers’ perceived value to examine the behavioral attitudes or outcomes from different shopping experiences. The purpose of this paper is to investigate the equivalence of psychometric characteristics of consumers’ perceived value across groups of consumers to support the underlying assumption that the construct is universally equivalent across different shopping contexts. Design/methodology/approach Confirmatory factor analyses were performed to examine the measurement invariance of consumers’ perceived value in the different types of brand and retailer collaborations in a sample of 856 American consumers. Findings Based on the sequential tests, the results confirmed the consistent structure of the measurement instrument of consumers’ perceived value. In practical applications, although the invariance of monetary value could not be established at the metric level, the findings suggest that social value, convenient value and epistemic value were invariant across groups of consumers in the different shopping contexts. Originality/value This research may provide valuable insights into the measurement invariance of consumers’ perceived value, as well as suggestions for researchers before conducting substantive tests of theories with the construct.

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Martínez, José A., Manuel Ruiz Marin, and Maria del Carmen Vivo Molina. "A Method to Analyse Measurement Invariance under Uncertainty in Between-Subjects Design." Spanish journal of psychology 15, no. 3 (November 2012): 1510–19. http://dx.doi.org/10.5209/rev_sjop.2012.v15.n3.39435.

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In this research we have introduced a new test (H-test) for analyzing scale invariance in between group designs, and considering uncertainty in individual responses, in order to study the adequacy of disparate rating and visual scales for measuring abstract concepts. The H-test is easy to compute and, as a nonparametric test, does not require any a priori distribution of the data nor conditions on the variances of the distributions to be tested. We apply this test to measure perceived service quality of consumers of a sports services. Results show that, without considering uncertainty, the 1-7 scale is invariant, in line with the related works regarding this topic. However, de 1-5 scale and the 1-7 scale are invariant when adding uncertainty to the analysis. Therefore, adding uncertainty importantly change the conclusions regarding invariance analysis. Both types of visual scales are not invariant in the uncertainty scenario. Implications for the use of rating scales are discussed.

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Cicero, David C., Alexander Krieg, and Elizabeth A. Martin. "Measurement Invariance of the Prodromal Questionnaire–Brief Among White, Asian, Hispanic, and Multiracial Populations." Assessment 26, no. 2 (January 17, 2017): 294–304. http://dx.doi.org/10.1177/1073191116687391.

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The Prodromal Questionnaire–Brief is a scale that is used to screen individuals for risk for the development of psychosis. It has promising psychometric properties in clinical and nonclinical populations, including undergraduates. However, the measurement invariance of the scale has not been examined in Asian, White, Hispanic, and Multiracial samples. A total of 2,767 undergraduates at two large public U.S. universities completed the Prodromal Questionnaire–Brief. The Total scores had configural and scalar invariance, while the Distress scores displayed configural, metric, and partial scalar invariance. Follow-up analyses revealed that three items were responsible for the lack of complete scalar invariance for the Distress scores. This suggests that the Total and Distress scores are measuring the same construct across groups and mean scores represent the same level of latent prodromal traits across groups. Mean comparisons for the Distress Scale across ethnicity should be interpreted with caution because it lacks complete scalar invariance. White and Hispanic participants had lower Total scores that Multiracial and Asian participants, and this pattern emerged for 13 items. For the distress items that were scalar invariant, the Asian group reported more distress than the White and Hispanic groups, while the Multiracial group reported more distress than the White group.

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Grigoraș, Mihaela, Andreea Butucescu, Amalia Miulescu, Cristian Opariuc-Dan, and Dragoș Iliescu. "The Measurement Invariance of the Short Dark Triad." Journal of Individual Differences 41, no. 4 (October 2020): 207–18. http://dx.doi.org/10.1027/1614-0001/a000322.

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Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

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Oliver, Amparo, Trinidad Sentandreu-Mañó, José M. Tomás, Irene Fernández, and Patricia Sancho. "Quality of Life in European Older Adults of SHARE Wave 7: Comparing the Old and the Oldest-Old." Journal of Clinical Medicine 10, no. 13 (June 27, 2021): 2850. http://dx.doi.org/10.3390/jcm10132850.

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CASP-12 (Control, Autonomy, Self-realization, and Pleasure scale) is one of the most common internationally used measures for quality of life in older adults, although its structure is not clearly established. Current research aims to test the factor structure of the CASP-12, so as to provide evidence on reliability and external validity, and to test for measurement invariance across age groups. Data from 61,355 Europeans (≥60 years old) from the Survey of Health, Ageing and Retirement in Europe wave 7 were used. CASP-12, EURO-D (European depression scale), self-perceived health, and life satisfaction measurements were included. Reliability and validity coefficients, competing confirmatory factor models, and standard measurement invariance routine were estimated. A second-order factor model with the original factor structure was retained. The scale showed adequate reliability coefficients except for the autonomy dimension. The correlation coefficients for external validity were all statistically significant. Finally, CASP-12 is scalar invariant across age. We conclude that the best-fitting factor structure retained allows using CASP-12 either by factors, or as an overall score, depending on the research interests. Findings related to CASP-12 measurement invariance encourage its use in the oldest-old too. When comparing the dimensions across age groups, as people age, autonomy slightly increases and the rest of the dimensions decline.

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Jankowsky, Kristin, Gabriel Olaru, and Ulrich Schroeders. "Compiling Measurement Invariant Short Scales in Cross–Cultural Personality Assessment Using Ant Colony Optimization." European Journal of Personality 34, no. 3 (May 2020): 470–85. http://dx.doi.org/10.1002/per.2260.

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Examining the influence of culture on personality and its unbiased assessment is the main subject of cross–cultural personality research. Recent large–scale studies exploring personality differences across cultures share substantial methodological and psychometric shortcomings that render it difficult to differentiate between method and trait variance. One prominent example is the implicit assumption of cross–cultural measurement invariance in personality questionnaires. In the rare instances where measurement invariance across cultures was tested, scalar measurement invariance—which is required for unbiased mean–level comparisons of personality traits—did not hold. In this article, we present an item sampling procedure, ant colony optimization, which can be used to select item sets that satisfy multiple psychometric requirements including model fit, reliability, and measurement invariance. We constructed short scales of the IPIP–NEO–300 for a group of countries that are culturally similar (USA, Australia, Canada, and UK) as well as a group of countries with distinct cultures (USA, India, Singapore, and Sweden). In addition to examining factor mean differences across countries, we provide recommendations for cross–cultural research in general. From a methodological perspective, we demonstrate ant colony optimization's versatility and flexibility as an item sampling procedure to derive measurement invariant scales for cross–cultural research. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology

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Cieciuch, Jan, Eldad Davidov, René Algesheimer, and Peter Schmidt. "Testing for Approximate Measurement Invariance of Human Values in the European Social Survey." Sociological Methods & Research 47, no. 4 (April 10, 2017): 665–86. http://dx.doi.org/10.1177/0049124117701478.

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Measurement invariance is a necessary precondition for meaningful cross-country comparisons, and three levels have been differentiated: configural, metric, and scalar. Unfortunately, establishing the most stringent form, that is, scalar measurement invariance, across groups is difficult. Recently, Muthén and Asparouhov proposed testing for approximate rather than exact measurement invariance, as this may be sufficient for meaningful comparisons. Following their strategy, the results of cross-country approximate measurement invariance tests of the 21-item Portrait Value Questionnaire (PVQ-21) scale to measure values in the European Social Survey are presented ( N = 274,447 respondents from 15 countries participating in all six rounds). Applying the new approximate method for the test of measurement invariance allows both using more moderate constraints of approximate equality of parameters across groups and exploring the extent of noninvariance. Approximate measurement invariance was established in almost all rounds for two higher-order values: openness to change and self-enhancement. In the case of the two other higher-order values, self-transcendence and conservation, approximate measurement invariance was established across a subset of countries.

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ERDEM, Devrim. "Multicultural Competence Scale for Prospective Teachers: Development, Validation and Measurement Invariance." Eurasian Journal of Educational Research 20, no. 87 (May 30, 2020): 1–28. http://dx.doi.org/10.14689/ejer.2020.87.1.

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Volarov, Marija. "Factor invariance in longitudinal studies: Measuring the same construct across time." TIMS. Acta 15, no. 2 (2021): 74–82. http://dx.doi.org/10.5937/timsact15-34623.

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When researchers are conducting studies that require repeated measures, it is not uncommon for them to assume that the particular instrument is equally going to assess the latent construct of interest no matter how many times the instrument (test) is administered. In other words, it is not in question whether the properties of the test are likely to change or not. However, measurement invariance is not something that the instrument possesses by default. Measurement invariance has to be tested. The aim of this paper was to provide an insight into testing factorial invariance performing the confirmatory factor analysis on a set of longitudinal data. The first part of this paper is theoretical and describes different forms of invariance. The second part offers a concrete example and a step-by-step guide on how to perform confirmatory factor analysis for repeated measurements to test the invariance using statistical software R.

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Lee, HyeSun, and Weldon Z. Smith. "Fit Indices for Measurement Invariance Tests in the Thurstonian IRT Model." Applied Psychological Measurement 44, no. 4 (December 26, 2019): 282–95. http://dx.doi.org/10.1177/0146621619893785.

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This study examined whether cutoffs in fit indices suggested for traditional formats with maximum likelihood estimators can be utilized to assess model fit and to test measurement invariance when a multiple group confirmatory factor analysis was employed for the Thurstonian item response theory (IRT) model. Regarding the performance of the evaluation criteria, detection of measurement non-invariance and Type I error rates were examined. The impact of measurement non-invariance on estimated scores in the Thurstonian IRT model was also examined through accuracy and efficiency in score estimation. The fit indices used for the evaluation of model fit performed well. Among six cutoffs for changes in model fit indices, only ΔCFI > .01 and ΔNCI > .02 detected metric non-invariance when the medium magnitude of non-invariance occurred and none of the cutoffs performed well to detect scalar non-invariance. Based on the generated sampling distributions of fit index differences, this study suggested ΔCFI > .001 and ΔNCI > .004 for scalar non-invariance and ΔCFI > .007 for metric non-invariance. Considering Type I error rate control and detection rates of measurement non-invariance, ΔCFI was recommended for measurement non-invariance tests for forced-choice format data. Challenges in measurement non-invariance tests in the Thurstonian IRT model were discussed along with the direction for future research to enhance the utility of forced-choice formats in test development for cross-cultural and international settings.

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Zhang, Don C., Garett C. Foster, and Michael G. McKenna. "Is the DOSPERT gender invariant? A psychometric test of measurement invariance." Journal of Behavioral Decision Making 32, no. 2 (October 28, 2018): 203–11. http://dx.doi.org/10.1002/bdm.2105.

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Orri, Massimiliano, Alexandra Rouquette, Jean-Baptiste Pingault, Caroline Barry, Catherine Herba, Sylvana M. Côté, and Sylvie Berthoz. "Longitudinal and Sex Measurement Invariance of the Affective Neuroscience Personality Scales." Assessment 25, no. 5 (June 24, 2016): 653–66. http://dx.doi.org/10.1177/1073191116656795.

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The Affective Neuroscience Personality Scales (ANPS) is a personality instrument based on six evolutionary-related brain systems that are at the foundation of human emotions and behaviors: SEEKING, CARING, PLAYFULNESS, FEAR, ANGER, and SADNESS. We sought to assess for the short and long versions of the ANPS: (a) the longitudinal measurement invariance and long-term (4-year) stability and (b) the sex measurement invariance. Using data from a Canadian cohort ( N = 518), we used single-group confirmatory factor analysis to assess longitudinal invariance and multiple-group confirmatory factor analysis to assess sex invariance, according to a five-step approach evaluating five invariance levels (configural, metric, scalar, residual, and complete). Results supported full longitudinal invariance for both versions for all invariance levels. Partial residual invariance was supported for sex invariance. The long-term stability of both versions was good to excellent. Implications for personality assessment and ANPS development are discussed.

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Journal articles on the topic 'Measurement invariance'

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