Academic literature on the topic 'Measurement invariance'

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Journal articles on the topic "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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Dissertations / Theses on the topic "Measurement invariance"

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Wang, Shanshan. "Bayesian Approximate Measurement Invariance Approach." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin150512542310924.

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Foster, Garett C. "Measurement Invariance of Burnout Inventories across Sex." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1428162452.

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Carter, Janet A. "Worry and Rumination: Measurement Invariance Across Gender." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/805.

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The present study examined the factor structure of the Penn State Worry Questionnaire (PSWQ), the Student Worry Questionnaire-30 (SWQ-30), the Anxious Thoughts Inventory (AnTI), the Ruminative Responses Scale (RRS), and the Rumination-Reflection Questionnaire (RRQ). The present study also examined the measurement invariance between men (n = 186) and women (n = 316) in a university sample. Different models for each measure were identified through a review of the literature, and the models were examined through confirmatory factor analyses. The best-fitting models for each measure were retained for subsequent model modification to improve fit and for invariance testing across gender. The results of the confirmatory factor analyses and subsequent exploratory models provided general support for invariance in the configural models, but only the RRQ displayed measurement, scalar, and latent mean structure invariance. Results of the bootstrapped regression analyses indicated that summated scores derived from the exploratory models demonstrated different relationships between anxiety and depression in men and women. Frequency of worry, metaworry, and general anxiety symptoms significantly contributed to prediction of anxiety in men, whereas metaworry, social worry, lethargy, general anxiety symptoms, and health worries predicted anxiety in women. Social worry, metaworry, recrimination, and reflection (negatively) contributed to prediction of depression in men, whereas social worry, metaworry, lethargy, general anxiety symptoms, and social adequacy concerns predicted depression in women.
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Clawson, Robb E. "Youth Disclosure: Examining Measurement Invariance Across Time and Reporter." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6491.

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Measurement invariance across time and reporter is rarely reported in the literature for measures of youth disclosure, even though it is often necessary to establish at least strong invariance before proceeding to further analyses such as comparing means across time or reporter. Measurement invariance was examined across time (ages 11, 14, and 17) and across reporter (youth report of disclosure to mother, youth report of disclosure to father, mother report of youth disclosure, father report of youth disclosure) with a sample of 348 youth and their parents. Youth report of disclosure to mothers demonstrated strong invariance across ages 11-14 and 14-17, but strong equivalence was not found for mother report over time across any age. Youth report of disclosure to mothers and fathers demonstrated strong equivalence at ages 11, 14, 17, and across ages 11-14-17. Mother and father reports also demonstrated strong equivalence at ages 11, 14, and 17. The item "I talk with my parent about how I am doing with school work" had lower factor loadings and higher intercepts at age 11 than at other ages for fathers and mothers and compared to youth report. Implications for youth disclosure theory and construct development are discussed.
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Dunbar-Isaacson, Hazel. "An investigation into the measurement invariance of the performance index." Thesis, Link to the online version, 2006. http://hdl.handle.net/10019/534.

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Chen, Danxia. "Eastern Work Ethic: Structural Validity, Measurement Invariance, and Generational Differences." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc500082/.

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This present study examined the structural validity of a Chinese version of Multidimensional Work Ethic Profile (MWEP-C), using a large sample of Chinese parents and their young adult children (N = 1047). Confirmatory factor analysis (CFA) was applied to evaluate the model fit of sample data on three competing models using two randomly split stratified subsamples. Measurement invariance for these two generational respondents was checked using differential item functioning (DIF) analysis. The results indicated that MWEP-C provided a reasonable fit for the sample data and the majority of survey items produced similar item-level responses for individuals that do not differ on the attributes of work ethic across these two generations. DIF items were detected based on advanced and successive iterations. Monte Carlo simulations were also conducted for creating threshold values and for chi-square probabilities based on 1,000 replications. After identifying the DIF items, model fit improved and generational differences and similarities in work ethic between parents and their young adult children were also identified. The results suggested that the younger Chinese generations have higher work ethic mean scores on the dimensions of work centrality and morality/ethics while they have similarities on time concept, self-reliance, delay of gratification, and hard work as their parents.
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LaBat, Lauren, Heidi M. Kuehn, John P. Meriac, and C. Allen Gorman. "Race and Gender Differences in Regulatory Focus: Examining Measurement Invariance." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/423.

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We investigated race and gender differences in regulatory focus, which distinguishes between two modes of motivational regulation: promotion and prevention focus. Item response theory was used to examine measurement equivalence/invariance and mean differences across groups were examined. Several items functioned differently across groups, but differences cancelled out at the test-level. Analyses using an undergraduate student sample (N = 1,845) revealed that females were significantly more promotion and prevention focused than males and African Americans were significantly more promotion and prevention focused than Caucasians. Interestingly, both gender and racial minority groups scored higher on regulatory focus indicators than the majority groups. Arguably, unlike minority group members, majority group members would have less of a necessity to prevent failure or to promote their own success. Implications for these motivation regulation differences can be applied to workforce settings in which managers seek to provide equal opportunities for both genders and racial groups.
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Duku, Eric K. "Assessing Early Child Development: Issues of Measurement Invariance and Psychometric Validity." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24097.

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The measurement of reliable and valid indicators of early child development is necessary for assessing phenomena and is useful in the monitoring of ongoing efforts to eradicate inequalities in the social determinants of health. There is an increasing awareness of the contextual, cultural, and developmental influences on constructs used in early child development (ECD) research. Using a measurement perspective, this dissertation examined the issue of measurement invariance and psychometric validity in early child development research. A construct violates the principle of invariance when two persons from different populations who are theoretically identical on the construct being measured have different scores on it. This dissertation consists of three journal-style manuscripts (published or under review) that were used as examples to address the importance of the issue of measurement invariance and psychometric validity in ECD research using data from two unique areas: autism and executive functioning. The three data sets were collected on pre-school children with parents and or teachers as informants and were chosen to represent different levels of data collection – clinical, community, and population. These data sets allowed for the examination of measurement invariance by type of informant, sex, and age of child. The results from the three studies illustrate the importance of assessing measurement invariance in ECD and whether or not the instruments examined can be used to assess sub-group differences with confidence. A lack of measurement invariance found for two of the studies, suggests that observed group differences in latent constructs could be attributed, in part, to measurement bias. More importantly, bias in the measurement of the constructs of severity of social impairment symptoms in autism, and executive functioning across groups could have an impact on services such as patient treatment. These biases could also influence public policy development, particularly when there may be an underlying need for a cross-group approach where belief systems may affect the meaning and structure of constructs. In summary, measurement invariance should be a prerequisite for making any meaningful comparisons across groups. A requirement of establishing measurement invariance should be included in the guidelines for comparative research studies as a necessary first step before an instrument is adopted for use.
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Clark, Jonathan Caleb. "Evaluating Model Fit for Longitudinal Measurement Invariance with Ordered Categorical Indicators." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8725.

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Current recommended cutoffs for determining measurement invariance have typically derived from simulation studies that have focused on multigroup confirmatory factor analysis, often using continuous data. These cutoffs may be inappropriate for ordered categorical data in a longitudinal setting. This study conducts two Monte Carlo studies that evaluate the performance of four popular model fit indices used to determine measurement invariance. The comparative fit index (CFI), Tucker-Lewis Index (TLI), and root mean square error of approximation (RMSEA) were all found to be inconsistent across various simulation conditions as well as invariance tests, and thus were not recommended for use in longitudinal measurement invariance testing. The standardized root mean square residual (SRMR) was the most consistent and robust fit index across simulation conditions, and thus we recommended using ≥ 0.01 as a cutoff for determining longitudinal measurement invariance with ordered categorical indicators.
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Arneill-Py, Ann. "Measurement invariance of the Mental Health Statistics Improvement Program Consumer Survey /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2004. http://uclibs.org/PID/11984.

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Books on the topic "Measurement invariance"

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Millsap, Roger Ellis. Statistical approaches to measurement invariance. New York: Psychology Press, 2011.

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Statistical approaches to measurement invariance. New York: Psychology Press, 2011.

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Hall, Robert Ernest. Invariance properties of Solow's productivity residual. Cambridge, MA: National Bureau of Economic Research, 1989.

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Frier, Rachael Elizabeth. Gender differences in paranormal belief: an examination of the measurement invariance of the paranormal belief scale. [s.l: The Author], 1995.

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Kasprzak, Wacław. Measurements, dimensions, invariant models and fractals. Wrocław: "SPOLOM", 2004.

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Invariant measurement: Using Rasch models in the social, behavioral, and health sciences. New York, N.Y: Psychology Press, 2012.

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Van De Schoot, Rens, Peter Schmidt, and Alain De Beuckelaer, eds. Measurement Invariance. Frontiers Media SA, 2015. http://dx.doi.org/10.3389/978-2-88919-650-0.

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Millsap, Roger E. Statistical Approaches to Measurement Invariance. Routledge, 2012. http://dx.doi.org/10.4324/9780203821961.

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Millsap, Roger E. Statistical Approaches to Measurement Invariance. Taylor & Francis Group, 2012.

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Millsap, Roger E. Statistical Approaches to Measurement Invariance. Taylor & Francis Group, 2012.

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Book chapters on the topic "Measurement invariance"

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Finch, Holmes. "Measurement Invariance." In Encyclopedia of Quality of Life and Well-Being Research, 3909–12. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1759.

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Lek, Kimberley, Daniel Oberski, Eldad Davidov, Jan Cieciuch, Daniel Seddig, and Peter Schmidt. "Approximate Measurement Invariance." In Advances in Comparative Survey Methods, 911–29. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781118884997.ch41.

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Fine, Arthur. "Measurement and Quantum Silence." In Correspondence, Invariance and Heuristics, 279–94. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-1185-2_14.

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Sass, Daniel A., and Thomas A. Schmitt. "Testing Measurement and Structural Invariance." In Handbook of Quantitative Methods for Educational Research, 315–45. Rotterdam: SensePublishers, 2013. http://dx.doi.org/10.1007/978-94-6209-404-8_15.

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Ligtvoet, Rudy. "A Test for Ordinal Measurement Invariance." In Quantitative Psychology Research, 311–17. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-07503-7_20.

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Desjardins, Christopher D., and Okan Bulut. "Measurement Invariance and Differential Item Functioning." In Handbook of Educational Measurement and Psychometrics Using R, 249–75. Boca Raton, Florida : CRC Press, [2018]: Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/b20498-11.

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Desa, Deana, Fons J. R. van de Vijver, Ralph Carstens, and Wolfram Schulz. "Measurement Invariance in International Large-scale Assessments." In Advances in Comparative Survey Methods, 879–910. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781118884997.ch40.

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Sauerwein, Markus, and Désirée Theis. "New Ways of Dealing with Lacking Measurement Invariance." In Accountability and Educational Improvement, 63–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69345-9_5.

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AbstractIn educational research, comparisons are often made of groups or of the development of various (latent) constructs over time (e.g. teaching quality in different countries or different groups’ (girls vs. boys) perceptions of teaching quality). However, before the results of such comparisons can be accurately interpreted, measurement invariance (MI) of the constructs under investigation needs to be established to ensure their meaning remains consistent across groups, subjects, or assessment points. Thus, if mean level changes are to be compared between groups, scalar factorial invariance needs to be established. In this chapter, we investigate and discuss how results of MI analyses should be interpreted and whether they should be reported on with regard to contents. Using data from the well-known Programme for International Student Assessment (PISA) study on teaching quality, we introduce an approach to examining the conditions under which comparison among cultural groups is possible even if MI is lacking.
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Pedrero, Víctor. "Measurement of Factor Invariance in Large-Scale Tests." In Validity of Educational Assessments in Chile and Latin America, 205–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78390-7_9.

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Clench-Aas, Jocelyne, Ragnhild Bang Nes, and Leif Edvard Aarø. "Dimensionality and Measurement Invariance of Satisfaction with Life Scale." In Encyclopedia of Quality of Life and Well-Being Research, 1621–28. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_3798.

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Conference papers on the topic "Measurement invariance"

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Colombo, Alessandro, Masoud Bahraini, and Paolo Falcone. "Measurement Scheduling for Control Invariance in Networked Control Systems." In 2018 IEEE Conference on Decision and Control (CDC). IEEE, 2018. http://dx.doi.org/10.1109/cdc.2018.8619008.

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Jewsbury, Paul. "Evaluating Measurement Invariance of Contextual Questionnaire Indices in NAEP." In 2019 AERA Annual Meeting. Washington DC: AERA, 2019. http://dx.doi.org/10.3102/1442339.

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Müser, Sinja. "Validating the ESBW Test: Factorial Structure and Measurement Invariance." In 2020 AERA Annual Meeting. Washington DC: AERA, 2020. http://dx.doi.org/10.3102/1574152.

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Li, Jingxian. "Testing Measurement Invariance of Noncognitive Scales in TIMSS 2019." In 2021 AERA Annual Meeting. Washington DC: AERA, 2021. http://dx.doi.org/10.3102/1686941.

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Simon, Odelia. "Measurement Invariance in Mixture Modeling: Issues and Current Practices." In 2021 AERA Annual Meeting. Washington DC: AERA, 2021. http://dx.doi.org/10.3102/1690960.

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Darmana, Feniawati, Adriza Adriza, and Achmad Bachrudin. "Measurement Invariance of Religious Tolerance Across the Student Groups." In Annual Civic Education Conference (ACEC 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/assehr.k.220108.022.

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Grady, Michael, Stuart Wentworth, and Thomas Weller. "Improvements in cross ratio invariance techniques for coaxial probe dielectric measurements." In 2012 79th ARFTG Microwave Measurement Conference (ARFTG). IEEE, 2012. http://dx.doi.org/10.1109/arftg79.2012.6291199.

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Filatova, Svetlana A., and Peter V. Golubtsov. "Invariance considerations in design of image-formation-measurement computer systems." In Optical Engineering and Photonics in Aerospace Sensing, edited by Firooz A. Sadjadi. SPIE, 1993. http://dx.doi.org/10.1117/12.160623.

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Raižienė, Saulė, Laura Ringienė, Inga Laukaityte, and Audronė Jakaitienė. "MEASUREMENT INVARIANCE OF PISA 2018 MOTIVATIONAL CONSTRUCTS ACROSS EU COUNTRIES." In 13th International Conference on Education and New Learning Technologies. IATED, 2021. http://dx.doi.org/10.21125/edulearn.2021.1426.

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Valencia Lopez, Enrique. "Measurement Invariance of a Professional Learning Community Scale (Poster 20)." In AERA 2022. USA: AERA, 2022. http://dx.doi.org/10.3102/ip.22.1890946.

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Reports on the topic "Measurement invariance"

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Ziegler, Nancy, Nicholas Webb, Adrian Chappell, and Sandra LeGrand. Scale invariance of albedo-based wind friction velocity. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40499.

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Obtaining reliable estimates of aerodynamic roughness is necessary to interpret and accurately predict aeolian sediment transport dynamics. However, inherent uncertainties in field measurements and models of surface aerodynamic properties continue to undermine aeolian research, monitoring, and dust modeling. A new relation between aerodynamic shelter and land surface shadow has been established at the wind tunnel scale, enabling the potential for estimates of wind erosion and dust emission to be obtained across scales from albedo data. Here, we compare estimates of wind friction velocity (u*) derived from traditional methods (wind speed profiles) with those derived from the albedo model at two separate scales using bare soil patch (via net radiometers) and landscape (via MODIS 500 m) datasets. Results show that profile-derived estimates of u* are highly variable in anisotropic surface roughness due to changes in wind direction and fetch. Wind speed profiles poorly estimate soil surface (bed) wind friction velocities necessary for aeolian sediment transport research and modeling. Albedo-based estimates of u* at both scales have small variability because the estimate is integrated over a defined, fixed area and resolves the partition of wind momentum be-tween roughness elements and the soil surface. We demonstrate that the wind tunnel-based calibration of albedo for predicting wind friction velocities at the soil surface (us*) is applicable across scales. The albedo-based approach enables consistent and reliable drag partition correction across scales for model and field estimates of us* necessary for wind erosion and dust emission modeling.
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Prasad, Valmiki. Measurements of Direct CP - Violation and CPT - Invariance in the Neutral Kaon System. Office of Scientific and Technical Information (OSTI), June 2002. http://dx.doi.org/10.2172/1420954.

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Acosta, D. Measurement of the Moments of the Hadronic Invariant Mass Distribution in Semileptonic Beta Decays. Office of Scientific and Technical Information (OSTI), March 2005. http://dx.doi.org/10.2172/842931.

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Bohorquez-Penuela, Camilo, and Mariana Urbina-Ramirez. Rising Staple Prices and Food Insecurity: The Case of the Mexican Tortilla. Banco de la República de Colombia, November 2020. http://dx.doi.org/10.32468/be.1144.

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We study the relationship between rising prices of tortillas---the Mexican staple par excellence---and household food insecurity between 2008 and 2014, a period in which global food prices experienced dramatic increases. The use of a unique combination of household-level data and official state-level information on prices allows us exploit signi cant variation in prices across the Mexican states. Since households cannot be tracked across time, we follow Deaton (1985) by constructing a series of pseudo-panels to control for time- invariant unobserved heterogeneity and measurement error. The regression estimates suggest that increasing tortilla prices affected food insecurity rates in Mexico. More speci cally, households with children or those in the second or third income quintile are more likely to be affected.
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Hart, Carl, and Gregory Lyons. A tutorial on the rapid distortion theory model for unidirectional, plane shearing of homogeneous turbulence. Engineer Research and Development Center (U.S.), July 2022. http://dx.doi.org/10.21079/11681/44766.

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The theory of near-surface atmospheric wind noise is largely predicated on assuming turbulence is homogeneous and isotropic. For high turbulent wavenumbers, this is a fairly reasonable approximation, though it can introduce non-negligible errors in shear flows. Recent near-surface measurements of atmospheric turbulence suggest that anisotropic turbulence can be adequately modeled by rapid-distortion theory (RDT), which can serve as a natural extension of wind noise theory. Here, a solution for the RDT equations of unidirectional plane shearing of homogeneous turbulence is reproduced. It is assumed that the time-varying velocity spectral tensor can be made stationary by substituting an eddy-lifetime parameter in place of time. General and particular RDT evolution equations for stochastic increments are derived in detail. Analytical solutions for the RDT evolution equation, with and without an effective eddy viscosity, are given. An alternative expression for the eddy-lifetime parameter is shown. The turbulence kinetic energy budget is examined for RDT. Predictions by RDT are shown for velocity (co)variances, one-dimensional streamwise spectra, length scales, and the second invariant of the anisotropy tensor of the moments of velocity. The RDT prediction of the second invariant for the velocity anisotropy tensor is shown to agree better with direct numerical simulations than previously reported.
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Vaupel, Maren. Measurement of the t anti-t invariant mass distribution and search for t anti-t resonances. Office of Scientific and Technical Information (OSTI), March 2006. http://dx.doi.org/10.2172/1415843.

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D'Spain, Gerald, and William Kuperman. Studying Shallow Water Environmental Acoustic Fluctuations with Broadband Measurements, and Fluctuations & Invariants in Shallow Water. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada434826.

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Leo, Sabato. On the resolution in a measurement of dijet invariant mass when searching for associated WZ production with CDF. Office of Scientific and Technical Information (OSTI), January 2009. http://dx.doi.org/10.2172/1436698.

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Yeh, Ping. Measurement of Top Quark Mass from Dilepton Events using Invariant Mass of Lepton and $b$-jet in $p\bar{p}$ collisions at $\sqrt{s}=1.8$ TeV. Office of Scientific and Technical Information (OSTI), June 1996. http://dx.doi.org/10.2172/1374859.

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Schling, Maja, Roberto Guerrero Compeán, Nicolás Pazos, Allison Bailey, Katie Arkema, and Mary Ruckelshaus. The Economic Impact of Sargassum: Evidence from the Mexican Coast. Inter-American Development Bank, September 2022. http://dx.doi.org/10.18235/0004470.

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This paper assesses the local economic impact of pelagic Sargassum seaweed washed ashore in tourism-heavy coastal zones in the Mexican State of Quintana Roo. The study relies on a carefully designed Geographic Information Systems (GIS) dataset of monthly observations from 2016 to 2019 for 157 beach segments. The dataset comprises an innovate measure of Sargassum seaweed presence, remotely sensed nighttime light intensity as a proxy of economic growth, as well as information on key infrastructure, sociodemographic and beach characteristics. We apply a fixed-effects regression model that controls for general time trends and unobserved, time-invariant differences across observations. We estimate that the presence of Sargassum in a beach segment reduces nighttime light intensity by 17.5%, representing an approximate 11.6% decrease in gross local product. Considering that impacts of Sargassum on local economic activity may be delayed due to reputational effects, our analysis finds that significant lagged effects can be detected up until 12 months after Sargassum was detected on the shoreline. These effect sizes range between a 5.9 and a 9.9% reduction in gross local product. Various robustness checks, including an adjusted measurement of Sargassum and the consideration of potential spatial correlation across beach segments, indicate that estimated impacts are consistently significant and negative across numerous specifications. For one of most tourism-dependent regions in the world, the recurrent influx is one of the most threatening manifestations of climate change. Our research is the first to robustly quantify the economic impact of Sargassum, and highlights the extent to which economic activity is negatively affected by the accumulation of seaweed and how these effects persist over time. The next important step is for both public and private sectors to invest in forecasting systems and containment strategies as well as engage in cleanup efforts to mitigate severe accumulations, inducing economic resilience in coastal communities.
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