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Journal articles on the topic 'Latent indicators'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Raunig, Burkhard. "Background Indicators." Econometrics 7, no. 2 (2019): 20. http://dx.doi.org/10.3390/econometrics7020020.

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It is customary to assume that an indicator of a latent variable is driven by the latent variable and some random noise. In contrast, a background indicator is also systematically influenced by variables outside the structural model of interest. Background indicators deserve attention because in empirical work they are difficult to distinguish from ordinary effect indicators. This paper assesses instrumental variable (IV) estimation of the effect of a latent variable in a linear model when a background indicator replaces the latent variable. It turns out that IV estimates are inconsistent in m

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Aytürk, Ezgi, Heining Cham, Patricia A. Jennings, and Joshua L. Brown. "Latent Variable Interactions With Ordered-Categorical Indicators: Comparisons of Unconstrained Product Indicator and Latent Moderated Structural Equations Approaches." Educational and Psychological Measurement 80, no. 2 (2019): 262–92. http://dx.doi.org/10.1177/0013164419865017.

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Methods to handle ordered-categorical indicators in latent variable interactions have been developed, yet they have not been widely applied. This article compares the performance of two popular latent variable interaction modeling approaches in handling ordered-categorical indicators: unconstrained product indicator (UPI) and latent moderated structural equations (LMS). We conducted a simulation study across sample sizes, indicators’ distributions and category conditions. We also studied four strategies to create sets of product indicators for UPI. Results supported using a parceling strategy

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Bratischenko, Vladimir. "Indicator Model of Examination Grades with Latent Parameters." System Analysis & Mathematical Modeling 7, no. 1 (2025): 17–28. https://doi.org/10.17150/2713-1734.2025.7(1).17-28.

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The article proposes to use the indicators of grades 5, 4, 3 to describe the probabilities of an examination grade. It is assumed that the probability of a value of each indicator depends on the latent parameters: the student's readiness to receive a grade corresponding to the indicator and the difficulty of receiving the corresponding grade on the exam. The probabilities of grades are determined depending on the probabilities of indicators. The probabilities of the indicator are determined depending on the values of the student and exam latent parameters. The maximum likelihood method is used

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Meehl, Paul E., and Leslie J. Yonce. "Taxometric Analysis: II. Detecting Taxonicity Using Covariance of Two Quantitative Indicators in Successive Intervals of a Third Indicator (Maxcov Procedure)." Psychological Reports 78, no. 3_suppl (1996): 1091–227. http://dx.doi.org/10.2466/pr0.1996.78.3c.1091.

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Given three quantitative indicators of a conjectured latent taxon, a statistical function defined as the covariance of two indicators (designated for the procedure as the “output” indicators) computed within successive intervals along the third (designated as “input”) indicator reveals whether the latent structure of the data is taxonic or not. If it is taxonic, latent parameters (base rate, hit rates, complement and taxon means) can be estimated, the latent distributions drawn, and subjects assigned to the taxon or the complement group. Several consistency tests are described. MAXCOV (MAXimum

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Sofya, Nora Dery, Ekastini Ekastini, and Koko Hermanto. "ANALISIS INDIKATOR PENYUSUN VARIABEL LATEN YANG MEMPENGARUHI KINERJA PEMASARAN TENUN KRE’ ALANG." JURNAL ILMIAH GLOBAL EDUCATION 4, no. 4 (2023): 2124–32. http://dx.doi.org/10.55681/jige.v4i4.1382.

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Before knowing the factors that influence competitive advantage and marketing performance of Kre' Alang weaving, it must first determine the indicators that have a relationship with the latent variables. The method used to analyze this is confirmatory factor analysis. This method is used to provide information whether the model that has been modeled is in accordance with the hypothesis that has been formulated. The results of the study show that the latent variables for technology orientation are composed by the use of the latest technology, accelerating service to customers, supporting the in

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Trusova, Alla Yu, and Alla I. Ilina. "Methodology for the latent indicators formation." Vestnik of Samara University. Economics and Management 12, no. 3 (2021): 179–91. http://dx.doi.org/10.18287/2542-0461-2021-12-3-179-191.

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The food industry is the most important link in the food realm of the country, determining the possibility of its autonomous existence in critical situations. This type of industry plays a leading role in solving the issue of providing the population with food products in a sufficient range and quantity. The food industry is in demand all over the world, since the need for food is the basic need of every person. The uniqueness of the Russian food industry is determined by its close connection to regional peculiarities and, as a result, the uneven distribution of food industry enterprises acros

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Dian Handayani, Fakhirah Maryam, Faroh Ladayya, and Irsyad Hasari. "Analisis Faktor Konfirmatori untuk Mengidentifikasi Peubah Indikator Utama dalam Pengukuran Peubah Laten." Jurnal Statistika dan Aplikasinya 7, no. 2 (2023): 232–40. http://dx.doi.org/10.21009/jsa.07212.

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Research on attitudes, preferences and behavior are research that involves latent variables. Latent variables are measured by observing some indicator variables. Indicator variables that measure a latent variable are selected based on the researcher's perspective, however, it is necessary to consider the previous of related research. Indicator variables need to have theoretical meaning, be valid and reliable in measuring latent variables. Confirmatory factor analysis (CFA) is a statistical method that can be used to determine the validity of the indicator variables. In this research, CFA is us

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Muhammad Nusrang, Muh. Fahmuddin, and Hardianti Hafid. "PENERAPAN METODE STRUCTURAL EQUATION MODELLING-PARTIAL LEAST SQUARES (SEM-PLS) DALAM MENGEVALUASI FAKTOR-FAKTOR YANG MEMPENGARUHI PDRB DI INDONESIA." SEMINAR NASIONAL DIES NATALIS 62 1 (July 31, 2023): 543–48. http://dx.doi.org/10.59562/semnasdies.v1i1.1088.

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Structural Equation Modeling (SEM) is a multivariate statistical analysis method that combines regression analysis with factor analysis. SEM can be used to describe simultaneous linear relationships between observed variables (indicators) and variables that cannot be directly measured (latent variables). In the development of covariance-based SEM, there are still weaknesses based on parametric assumptions that must be met in regression analysis, and one of the classic assumptions that must be met is the assumption that the data is normally distributed. Partial Least Square (PLS) is one solutio

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Kryvoshyia, P. Iu, and O. H. Rud. "Immunobiological indicators in horses with latent rhinopneumonia." Bulletin "Veterinary biotechnology" 34 (2019): 81–88. http://dx.doi.org/10.31073/vet_biotech34-10.

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Raykov, Tenko, and George A. Marcoulides. "On Examining Specificity in Latent Construct Indicators." Structural Equation Modeling: A Multidisciplinary Journal 23, no. 6 (2016): 845–55. http://dx.doi.org/10.1080/10705511.2016.1175947.

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Francoeur, Richard. "Multimorbidity from Diabetes, Heart Failure, and Related Conditions: Assessing a Panel of Depressive Symptoms as Both Formative and Reflective Indicators of a Latent Trait." Mathematics 9, no. 21 (2021): 2715. http://dx.doi.org/10.3390/math9212715.

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Through exploring specific conditions (diabetes, heart failure, related vascular/metabolic diagnoses) and their multimorbidities, I develop a more thorough means to adjust confounders of clinical targets within main or interactive contexts in epidemiological panel studies. Regression-based multiple indicators-multiple causes (MIMIC) models combine multiple or moderated regression and confirmatory factor analysis. In a novel specification, each of twenty depressive symptoms is both a “formative” (causal) indicator and a “reflective” (effect) indicator of a latent trait (Depression). Although bo

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BYE, BARRY V., SALVATORE J. GALLICCHIO, and JANICE M. DYKACZ. "Multiple-Indicator, Multiple-Cause Models for a Single Latent Variable with Ordinal Indicators." Sociological Methods & Research 13, no. 4 (1985): 487–509. http://dx.doi.org/10.1177/0049124185013004003.

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Ferrer, Emilio, Nekane Balluerka, and Keith F. Widaman. "Factorial Invariance and the Specification of Second-Order Latent Growth Models." Methodology 4, no. 1 (2008): 22–36. http://dx.doi.org/10.1027/1614-2241.4.1.22.

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Abstract. Latent growth modeling has been a topic of intense interest during the past two decades. Most theoretical and applied work has employed first-order growth models, in which a single manifest variable serves as indicator of trait level at each time of measurement. In the current paper, we concentrate on issues regarding second-order growth models, which have multiple indicators at each time of measurement. With multiple indicators, tests of factorial invariance of parameters across times of measurement can be tested. We conduct such tests using two sets of data, which differ in the ext

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Steinmetz, Holger. "Analyzing Observed Composite Differences Across Groups." Methodology 9, no. 1 (2013): 1–12. http://dx.doi.org/10.1027/1614-2241/a000049.

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Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte

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Wahyuni, Rezi, Budi Susetyo, and Anwar Fitrianto. "HUBUNGAN AKREDITASI DAN UJIAN NASIONAL PADA SEKOLAH NEGERI DENGAN GENERALIZED STRUCTURED COMPONENT ANALYSIS." Indonesian Journal of Statistics and Its Applications 3, no. 3 (2019): 260–71. http://dx.doi.org/10.29244/ijsa.v3i3.342.

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There are several views and tendencies that distinguish between schools and madrasas in several aspects, one of them is the curriculum. Madrasah as islamic educational institution contains more religious lessons compared to public schools. As a result, madrasah are considered less able to provide good result in educational achievement. Overall, the education system which is based on National Education Standards (SNP) is used for assessing the educational accreditation. SNP is the minimum criterion of education system in Indonesia can be evaluated from the National Examination (UN). As latent v

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Hancock, Gregory R., and Michelle M. Buehl. "Second-Order Latent Growth Models with Shifting Indicators." Journal of Modern Applied Statistical Methods 7, no. 1 (2008): 39–55. http://dx.doi.org/10.22237/jmasm/1209614640.

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HAGENAARS, JACQUES A. "Latent Structure Models with Direct Effects between Indicators." Sociological Methods & Research 16, no. 3 (1988): 379–405. http://dx.doi.org/10.1177/0049124188016003002.

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Hurtubia, Ricardo, My Hang Nguyen, Aurélie Glerum, and Michel Bierlaire. "Integrating psychometric indicators in latent class choice models." Transportation Research Part A: Policy and Practice 64 (June 2014): 135–46. http://dx.doi.org/10.1016/j.tra.2014.03.010.

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Maslak, Anatoly. "ANALYSIS OF THE QUESTIONNAIRE FOR ASSESSING THE LEADERSHIP QUALITIES OF STUDENTS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (May 21, 2019): 430. http://dx.doi.org/10.17770/sie2019vol5.3775.

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The quality of the questionnaire as a measuring tool largely determines the relevance of the results. The aim of the work is to analyze the quality of the questionnaire as a measuring tool used to evaluate the latent variable "leadership qualities of students". The study was conducted within the framework of the theory of measurement of latent variables, which has important advantages. First of all, the latent variable is determined operationally, through a set of indicators (questionnaire items), the more indicators, the higher the accuracy of the latent variable measurement. The latent varia

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Xiong, Xiaoxia, Yu He, Xiang Gao, and Yeling Zhao. "A Multi-Level Risk Framework for Driving Safety Assessment Based on Vehicle Trajectory." Promet 34, no. 6 (2022): 959–73. http://dx.doi.org/10.7307/ptt.v34i6.4154.

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Few existing research studies have explored the relationship of road section level, local area level and vehicle level risks within the highway traffic safety system, which can be important to the formation of an effective risk event prediction. This paper proposes a framework of multi-level risks described by a set of carefully selected or designed indicators. The interrelationship among these latent multi-level risks and their observable indicators are explored based on vehicle trajectory data using the structural equation model (SEM). The results show that there exists significant positive

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Борейшо, А. А. "Apparent and latent quality of management: manifestations and indicators." Экономика и предпринимательство, no. 7(132) (October 11, 2021): 859–64. http://dx.doi.org/10.34925/eip.2021.132.7.154.

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В контексте качества менеджмента рассматриваются понятия явного и латентного качества. Выявлены характеристики явного качества менеджмента: степень достижения целей и результатов, степень следования международным стандартам менеджмента, качество исполнения функций менеджмента (планирование-организация-мотивирование-контроль). В качестве характеристик латентного качества рассматриваются патологичность менеджмента, степень его инверсности, наличие негативных латентных функций организации и степень проявления трудового оппортунизма. Названы субъекты оценки явного и латентного качества менеджмента

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Miciak, Jeremy, W. Pat Taylor, Karla K. Stuebing, and Jack M. Fletcher. "Simulation of LD Identification Accuracy Using a Pattern of Processing Strengths and Weaknesses Method With Multiple Measures." Journal of Psychoeducational Assessment 36, no. 1 (2016): 21–33. http://dx.doi.org/10.1177/0734282916683287.

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We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified LD status for individual cases according to the concordance/discordance method. Agreement with latent status was evaluated using (a) a single indicator, (b) two indicators as part of a test–retest “confirmation” model, and (c) a mean score. Specificit

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Shinkarenko, Volodymyr, Maksym Matskul, and Dean Linok. "Investment attractiveness modeling using multidimensional statistical analysis methods." SHS Web of Conferences 65 (2019): 04007. http://dx.doi.org/10.1051/shsconf/20196504007.

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The article examines the investment attractiveness of the main branches of the food industry of Ukraine as a latent variable. For the first time in this area, a combination of various methods of multivariate statistical analysis is used for research (cluster analysis and factor analysis – the principal component method). These methods made it possible to use a large number of various indicators of the activities of industries to characterize investment attractiveness. As a result, the set of the branches was divided into three groupsclusters: “leaders” are the most attractive sectors for inves

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Dziak, John J., Bethany C. Bray, Jieting Zhang, Minqiang Zhang, and Stephanie T. Lanza. "Comparing the Performance of Improved Classify-Analyze Approaches for Distal Outcomes in Latent Profile Analysis." Methodology 12, no. 4 (2016): 107–16. http://dx.doi.org/10.1027/1614-2241/a000114.

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Abstract. Several approaches are available for estimating the relationship of latent class membership to distal outcomes in latent profile analysis (LPA). A three-step approach is commonly used, but has problems with estimation bias and confidence interval coverage. Proposed improvements include the correction method of Bolck, Croon, and Hagenaars (BCH; 2004) , Vermunt’s (2010) maximum likelihood (ML) approach, and the inclusive three-step approach of Bray, Lanza, and Tan (2015) . These methods have been studied in the related case of latent class analysis (LCA) with categorical indicators, bu

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Voytenko, L. G., and O. S. Voytenko. "DYNAMICS OF SOME INDICATORS OF ENDOMETRITIS IN INFERTILE COWS." Scientific Life 15, no. 7 (2020): 1018–24. http://dx.doi.org/10.35679/1991-9476-2020-15-7-1018-1024.

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The article presents the results of the research obtained studying the dynamics of some indicators of endometritis in symptomatic infertility. The research was carried out at the Department of Obstetrics, Surgery and Physiology of Domestic Animals of the Don State Agrarian University in Persianovsky settlement, Oktyabrsky district, Rostov region. It was found that with latent endometritis, the most significant changes in the number of erythrocytes in 1 ml of blood were fixed with a minimum coefficient of variation (5.67–6.07); the platelet content in latent endometritis in cows compared to phy

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Boelen, Paul A., and Lonneke I. M. Lenferink. "Latent class analysis of indicators of intolerance of uncertainty." Scandinavian Journal of Psychology 59, no. 3 (2018): 243–51. http://dx.doi.org/10.1111/sjop.12440.

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Widhiarso, Wahyu. "Dampak Kesalahan Penetapan Indikator Efek dan Kausal terhadap Indeks Ketepatan dalam Pemodelan Persamaan Struktural." Jurnal Ilmiah Psikologi MIND SET 3, no. 02 (2019): 96–105. https://doi.org/10.35814/mindset.v3i02.271.

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Psychometrics theory has divided two types characteristics of indicators: effect indicator (reflective) and indicator causal (formative). In the structural equation modeling (SEM) approach, these differences were operated on different figure of analysis. Effect indicator is indicated by the direction of arrows from latent construct to its indicators, whereas the causal is vice versa. this study aimed to compare fit indices between models that accommodate these differences, and did not. Data analysis was conducted on secondary data from three studies that measured individual level of stress. On

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Grilli, Leonardo, and Roberta Varriale. "Specifying Measurement Error Correlations in Latent Growth Curve Models With Multiple Indicators." Methodology 10, no. 4 (2014): 117–25. http://dx.doi.org/10.1027/1614-2241/a000082.

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In this tutorial paper we focus on a multi-item Latent Growth Curve model for modeling change across time of a latent variable measured by multiple items at different occasions: in the structural part the latent variable grows according to a random slope linear model, whereas in the measurement part the latent variable is measured at each occasion by a conventional factor model with time-invariant loadings. The specification of a multi-item Latent Growth Curve model involves several interrelated choices: indeed, the features of the structural part, such as the functional form of the growth, ar

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Kapeli, Sarah Ann. "A latent profile analysis of Pacific health values." Pacific Health Dialog 21, no. 8 (2021): 531–44. http://dx.doi.org/10.26635/phd.2021.148.

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Introduction: Pacific health models that centre Pacific values, can serve as a tool to address Pacific disparities in healthcare. In this study, we broadly draw upon the health concepts of these models to determine how Pacific values are translate across Pacific health and wellbeing. Methods: Using data from the New Zealand Attitudes and Values Study, we identified proxy indicators of common Pacific values. With these proxy indicators we developed a LP Latent Profile Analysis A to uncover subgroups of Pacific peoples based on their orientation towards each proxy indicator and their association

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Del Rosa, Yenni, Imran Agus, and Mohammad Abdilla. "Pengaruh Karakteristik Manajerial Terhadap Kinerja Baitul Maal Wat Tamwil Kota Padang Melalui Orientasi Stratejik." Jurnal Benefita 4, no. 3 (2019): 587. http://dx.doi.org/10.22216/jbe.v4i3.4593.

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<p><em>The purpose of this study was to determine the direct and indirect effects of managerial characteristics on BMT performance through a strategic orientation. This research is an explanatory type with a sample of 390 people by purposive sampling. The study was collected using a Likert-style questionnaire and analyzed by SEM method. Exogenous latent variables 7 indicators, endogenous latent variables 6 indicators and endogenous variables 3 indicators. Outer models and inner models meet for SEM analysis. The maximum contribution of each managerial characteristic variable is 93.1

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Valera-Calero, Juan Antonio, Sandra Sánchez-Jorge, Jorge Buffet-García, Umut Varol, Gracia María Gallego-Sendarrubias, and Javier Álvarez-González. "Is Shear-Wave Elastography a Clinical Severity Indicator of Myofascial Pain Syndrome? An Observational Study." Journal of Clinical Medicine 10, no. 13 (2021): 2895. http://dx.doi.org/10.3390/jcm10132895.

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Since manual palpation is a subjective procedure for identifying and differentiate Myofascial Trigger Points -MTrPs-, the use of Shear Wave Elastography -SWE- as an objective alternative is increasing. This study aimed to analyze pain pressure thresholds -PPTs- and SWE differences between active MTrPs, latent MTrPs and control points located in the upper trapezius to analyze the association of SWE features with clinical severity indicators (e.g., pain extension area, PPTs, neck pain and neck disability). An observational study was conducted to calculate the correlation and to analyze the diffe

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Bio Fimba, Adfi. "SURVIVAL ANALYSIS MODELING ON CREDIT RISK WITH LATENT VARIABLE INDICATOR MODELS." Advanced Mathematical Models & Applications 9, no. 1 (2024): 14–26. http://dx.doi.org/10.62476/amma9114.

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Survival analysis has several advantages, including the ability to handle incomplete data. In general, the explanatory variables used in survival analysis are manifest variables. In other fields such as social sciences, variables such as perception, attitudes, and psychology are often involved in statistical analysis. This research aims to model cox proportional hazard regression on data with latent variable types. Research was conducted in the banking sector using Likert scale questionnaire data. It will examine how the assessment of the 5C variable in the form of a latent variable relates to

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Sunderland, M., T. Slade, and R. F. Krueger. "Examining the shared and unique relationships among substance use and mental disorders." Psychological Medicine 45, no. 5 (2014): 1103–13. http://dx.doi.org/10.1017/s0033291714002219.

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Background.Co-morbidity among use of different substances can be explained by a shared underlying dimensional factor. What remains unknown is whether the relationship between substance use and various co-morbid mental disorders can be explained solely by the general factor or whether there remain unique contributions of specific substances.Method.Data were from the 2007 Australian National Survey of Mental Health and Wellbeing (NSMHWB). A unidimensional latent factor was constructed that represented general substance use. The shared and specific relationships between lifetime substance use ind

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Muslov, Sergey A., Nurmukhamet S. Ruzuddinov, Sergey D. Arutyunov, et al. "Quality of life of patients with complete loss of teeth and the psychometric properties of the OHIP-20 DG questionnaire. Part 3. Investigation of latent variables." Russian Journal of Dentistry 25, no. 6 (2022): 483–93. http://dx.doi.org/10.17816/1728-2802-2021-25-6-483-493.

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BACKGROUND: In the rehabilitation of patients with complete loss of teeth, an important aspect is the study of their quality of life (QL) as an indicator reflecting the effectiveness of treatment. AIM: Use latent variables and control their magnitude to control the development or suppression of symptoms in patients. MATERIAL AND METHODS: Within the framework of the modern theory of latent variables, the study examined the QL of patients with complete loss of teeth at various stages of dental orthopedic treatment. RESULTS: The average relative error of the forward and reverse

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Mikryukov, A. A., M. S. Gasparian, and D. S. Karpov. "Proposals for university promoting in QS rating based on the methods of statistical analysis." Statistics and Economics 17, no. 1 (2020): 35–43. http://dx.doi.org/10.21686/2500-3925-2020-1-35-43.

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The purpose of the study. The purpose of the study is to develop scientifically based proposals to increase the university performance indicators in the international institutional rating QS to the required values, taking into account the presence of a combination of latent (hidden) factors, the degree of achievement of the set values of the basic indicators and, as a result, the university ranking level.Materials and methods. To achieve this goal, methods of statistical analysis (correlation-regression and factor analysis) were used, which made it possible to identify the degree of influence

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Sporiš, Goran, Jurica Šango, Vlatko Vučetić, and Tonči Mašina. "The latent structure of standard game efficiency indicators in basketball." International Journal of Performance Analysis in Sport 6, no. 1 (2006): 120–29. http://dx.doi.org/10.1080/24748668.2006.11868360.

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Zhou, Yifan, Yong Sun, Joseph Mathew, Rodney Wolff, and Lin Ma. "Latent degradation indicators estimation and prediction: A Monte Carlo approach." Mechanical Systems and Signal Processing 25, no. 1 (2011): 222–36. http://dx.doi.org/10.1016/j.ymssp.2010.08.012.

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Galliani, Daniela, Luca Mascheroni, Mauro Sassi, et al. "Thermochromic Latent-Pigment-Based Time-Temperature Indicators for Perishable Goods." Advanced Optical Materials 3, no. 9 (2015): 1164–68. http://dx.doi.org/10.1002/adom.201500073.

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Putri, Retno Wahyuni, and Miftahuddin Miftahuddin. "Perbandingan Data Harian dan Data Bulanan pada Suhu Permukaan Laut di Samudera Hindia Menggunakan Partial Least Square-Structural Equation Modelling." Jambura Journal of Mathematics 4, no. 1 (2022): 1–16. http://dx.doi.org/10.34312/jjom.v4i1.11191.

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Sea surface temperature (SST) is one of the features of climate variability that has a significant role in human activities. This study aims to predict and determine whether weather and climate variables with their measuring indicators can predict changes in SST by comparing daily and monthly data. This study uses a partial least square-structural equation modeling (PLS-SEM) approach which can predict the causality relationship between exogenous latent variables and endogenous latent variables. The results obtained from this study are, from the nine indicators used there are only 6 significant

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Mulyo, J. H., A. W. Widada, H. Perwitasari, Sugiyarto, and F. Rohmah. "The Effect of Food Consumption Management on the Reduction of Food Waste in Indonesia." IOP Conference Series: Earth and Environmental Science 1005, no. 1 (2022): 012025. http://dx.doi.org/10.1088/1755-1315/1005/1/012025.

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Abstract Food waste is one of the important problems faced by households because it is related to the availability of food in the community. In addition, food wastage is suspected to be closely related to the ineffective and inefficient of food consumption management. This study aims to determine food consumption management, food waste and the effect of food consumption management on food waste in four major cities in Indonesia, namely Yogyakarta, Surabaya, Medan and Denpasar. The latent variable of food consumption management is reflected by four indicators, they are food planning, processing

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Ruscio, John. "Taxometric Analysis with Dichotomous Indicators: The Modified Maxcov Procedure and a Case-Removal Consistency Test." Psychological Reports 87, no. 3 (2000): 929–39. http://dx.doi.org/10.2466/pr0.2000.87.3.929.

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Previous Monte Carlo simulations and empirical trials have demonstrated the power with which taxometric procedures distinguish between taxonic (categorical) and dimensional (continuous) latent structures. However, questions have been raised about results obtained using procedures modified to accommodate dichotomous indicators. The present investigation shows that the most widely used taxometric procedure (MAXCOV) can distinguish between latent structures when adapted for use with dichotomous indicators, although particularly large samples and substantially valid indicators are required. This s

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Hardianti, Rindu, Solimun Solimun, and Nurjannah Nurjannah. "NONLINEAR PRINCIPAL COMPONENT ANALYSIS IN PATH ANALYSIS WITH LATENT VARIABLES MIXED DATA." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 1 (2024): 0373–82. http://dx.doi.org/10.30598/barekengvol18iss1pp0373-0382.

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This study aims to obtain the main component score of the ability to pay latent variable, determine the strongest indicators forming the ability to pay on a mixed scale based on defined indicators, and model the ability to pay on time mediated by fear of paying using path analysis. The data used in this study is secondary data from mortgage-paying customers with a sample size of 100. The method used is nonlinear principal component analysis with path analysis modeling. The results of this study indicate that the eleven variables formed by PC1 or X1 are able to store diversity or information by

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Hennessy, Michael, Amy Bleakley, and Martin Fishbein. "Measurement Models for Reasoned Action Theory." ANNALS of the American Academy of Political and Social Science 640, no. 1 (2012): 42–57. http://dx.doi.org/10.1177/0002716211424709.

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Quantitative researchers distinguish between causal and effect indicators. What are the analytic problems when both types of measures are present in a quantitative reasoned action analysis? To answer this question, the authors use data from a longitudinal study to estimate the association between two constructs central to reasoned action theory: behavioral beliefs and attitudes toward the behavior. The belief items are causal indicators that define a latent variable index while the attitude items are effect indicators that reflect the operation of a latent variable scale. The authors identify

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Burns, Richard, and Dimity Crisp. "Examining the complexity of wellbeing profiles in a large cross-national community sample." International Journal of Wellbeing 11, no. 4 (2021): 24–43. http://dx.doi.org/10.5502/ijw.v11i4.1593.

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The existence of multiple wellbeing indicators reflecting Psychological, Subjective and Social Wellbeing domains is widely reported. However, there is limited examination of the wellbeing profiles individuals report across multiple indicators. The current paper utilises a latent profile framework to examine the extent individuals report different wellbeing profiles. Participants (n = 42, 038) were from the European Social Survey (ESS), a large multi-national study who completed the ESS wellbeing module. Profiles analyses identified no complexity in the experiences of groups of individuals acro

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Kasmuri, Kasmuri, I. Made Tirta, and Yuliani Setia Dewi. "Covariance Based approach SEM with Bollen-Stine Estimation (Case Study Analysis of The Effect of Teacher and Principal Competence on Achievement of National Standards)." Jurnal ILMU DASAR 16, no. 2 (2016): 81. http://dx.doi.org/10.19184/jid.v16i2.899.

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Applications of covariance Based SEM (CB-SEM) generally use the maximum likelihood, based upon the assumption on the normal distribution of data. One alternative that could be applied if the data were not normally distributed is estimation using Bollen-Stine bootstrap approach. In this study, the method is applied to reveal the influence of teacher competence, the principal competence, to the value of achievement of national education standards in secondary schools in Banyuwangi.The objective of this paper was to determine and analyze the relationship and to know the the most dominant indicato

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Balshaw, Ryan, P. Stephan Heyns, Daniel N. Wilke, and Stephan Schmidt. "Latent indicators for temporal-preserving latent variable models in vibration-based condition monitoring under non-stationary conditions." Mechanical Systems and Signal Processing 199 (September 2023): 110446. http://dx.doi.org/10.1016/j.ymssp.2023.110446.

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Anekawati*, Anik, Jefri Nur Hidayat, Nabila Abdullah, and Helliyatul Matlubah. "Structural Equation Modeling Multi-group of Science Process Skills and Cognitive in PjBL Integrated STEAM Learning." Jurnal Pendidikan Sains Indonesia 9, no. 3 (2021): 512–27. http://dx.doi.org/10.24815/jpsi.v9i3.20447.

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In Science, students tend to use the ability, which is dominantly controlled by their left-hemisphere brain. This study explores how science process skills (SPS) affect cognitive learning achievement (CLA) of dominantly right-brained and left-brained students. By applying project-based learning on the topic that integrates STEAM elements, this research examines the differences of the effects among those groups. The respondents were 32 8th-grade students from two randomly selected intact classes. This study employed a test to measure exogenous (SPS) and endogenous (CLA) latent variables. The pa

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Stepinac, Domagoj, Ivan Pejić, Krešo Pandžić, et al. "Selecting Tolerant Maize Hybrids Using Factor Analytic Models and Environmental Covariates as Drought Stress Indicators." Genes 16, no. 7 (2025): 754. https://doi.org/10.3390/genes16070754.

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Background/Objectives: A critical part of the maize life cycle takes place during the summer, and due to climate change, its growth and development are increasingly exposed to the irregular and unpredictable effects of drought stress. Developing and using new cultivars with increased drought tolerance for farmers is the easiest and cheapest solution. One of the concepts to screen for drought tolerance is to expose germplasm to various growth scenarios (environments), expecting that random drought will occur in some of them. Methods: In the present study, thirty-two maize hybrids belonging to f

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Walters, Glenn D., and Dorothy L. Espelage. "Latent Structure of Early Adolescent Bullying Perpetration: A Taxometric Analysis of Raw and Ranked Scores." Educational and Psychological Measurement 79, no. 4 (2019): 754–72. http://dx.doi.org/10.1177/0013164418824142.

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The purpose of this study was to investigate the latent structure type (categorical vs. dimensional) of bullying perpetration in a large sample of middle school students. A nine-item bullying scale was administered to 1,222 (625 boys, 597 girls) early adolescents enrolled in middle schools in a Midwestern state. Based on the results of a principal axis factoring analysis, the nine items were organized into four homogeneous scales. These scales were then used as indicators in a taxometric analysis of the bullying perpetration construct. According to the results of three nonredundant taxometric

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Smith, Bradley C., та William Spaniel. "Introducingν-CLEAR: a latent variable approach to measuring nuclear proficiency". Conflict Management and Peace Science 37, № 2 (2018): 232–56. http://dx.doi.org/10.1177/0738894217741619.

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The causes and consequences of nuclear proficiency are central to important questions in international relations. At present, researchers tend to use observable characteristics as a proxy. However, aggregation is a problem: existing measures implicitly assume that each indicator is equally informative and that measurement error is not a concern. We overcome these issues by applying a statistical measurement model to directly estimate nuclear proficiency from observed indicators. The resulting estimates form a new dataset on nuclear proficiency which we call ν-CLEAR. We demonstrate that these e

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