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A Validation Study of the Extended Relevance Scale using the D3mirt Package for R Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-13 Erik Forsberg, Anders Sjöberg
This paper reports a validation study based on descriptive multidimensional item response theory (DMIRT), implemented in the R package D3mirt by using the ERS-C, an extended version of the Relevanc...
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On the Behavior of Fit Indices for Adjudicating Between Exploratory Structural Equation and Confirmatory Factor Analysis Models Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-13 Timothy R. Konold, Elizabeth A. Sanders
Compared to traditional confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM) has been shown to result in less structural parameter bias when cross-loadings (CLs) are ...
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Carbon Fiber Reinforced Polymer Adoption for Structural Rehabilitation Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-13 Boshra Akhozheya, Sawsan Dagher, Yara Alzoubi, Ivana Veselinova
Flexural strengthening is essential when structures face increased loads or usage changes, requiring localized reinforcement. Carbon Fiber Reinforced Polymers (CFRP) are widely used for repairing d...
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Factorial Invariance of the ASIS Across Years Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-13 Bilge Bal-Sezerel, Deniz Arslan, Ugur Sak
In this study, the factorial invariance of the ASIS (Anadolu-Sak Intelligence Scale) was examined across time. Data were obtained from there groups of first-grade students who were administered the...
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Analysis of Mixed-Format Assessments Using Measurement Models and Topic Modeling Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-13 Jiawei Xiong, George Engelhard, Allan S. Cohen
It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves und...
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Quantifying and Estimating Regression to the Mean Effect for Bivariate Beta-Binomial Distribution Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-13 Aimel Zafar, Manzoor Khan, Muhammad Yousaf
Subjects with initially extreme observations upon remeasurement are found closer to the population mean. This tendency of observations toward the mean is called regression to the mean (RTM) and can...
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Data Acquiring System for Gas Turbine Engine’s Dynamic Performance; Build and Validate Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-07 Mostafa M. Samy, Mohamed A. Metwally, Mahmoud Ashry, Wael M. Elmayyah
Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in p...
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Neutrosophic Estimators for Estimating the Population Mean in Survey Sampling Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-07 Vinay Kumar Yadav, Shakti Prasad
In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In ...
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Efficiency of PROMIS MCAT Assessments for Orthopaedic Care Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-07 Michael Bass, Scott Morris, Sheng Zhang
Administration of patient-reported outcome measures (PROs), using multidimensional computer adaptive tests (MCATs) has the potential to reduce patient burden, but the efficiency of MCAT depends on ...
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Comparing Measurement Reliability Estimation Techniques: Correlation Coefficient vs. Bland–Altman Plot Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-05 Tülin Otbiçer Acar
The aim of this study is to compare the results of correlation coefficient estimation of reliability with those obtained through the Bland–Altman plot technique. The scale was first divided into tw...
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Exploring the Effects of Collapsing Rating Scale Categories in Polytomous Item Response Theory Analyses: An Illustration and Simulation Study Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-05 Chia-Lin Tsai, Stefanie Wind, Samantha Estrada
Researchers who work with ordinal rating scales sometimes encounter situations where the scale categories do not function in the intended or expected way. For example, participants’ use of scale ca...
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Flow in Relation to Academic Achievement in Online-Learning: A Meta-Analysis Study Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-05 Da Xing, Yunjung Lee, Gyun Heo
Flow is an optimal experience that has received particular attention in learning due to its potential association with enhanced learning achievement. However, the strength and direction of the puta...
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Improving Cross-Cultural Psychometric Scales: A Focus on Readability Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-05 Tülin Otbiçer Acar
This study argues that readability formulas should be used as one measure of linguistic equivalence when adapting psychometric scales from one language to another. Assuming that the psychological s...
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Technical Courses and Virtual Teaching Learning Practice: A Post Pandemic Study Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-05 Vinod Bhatt, Dev Brat Gupta, Asmita Sharma
The present study is a combination of qualitative and quantitative research in order to determine the impact on virtual teaching and learning methods, particularly in technical courses. The researc...
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Visualizing Agreement: Bland–Altman Plots as a Supplement to Inter-Rater Reliability Indices Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-05 Brogan L. Barr, Virginia V. W. McIntosh, Eileen F. Britt, Jennifer Jordan, Janet D. Carter
Even when raters demonstrate agreement in the use of a measure, limited score variability or violation of often-ignored statistical assumptions can result in lower reliability estimates than intuit...
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Utilizing Linear Logistic Test Models to Explore Item Characteristics of Medical Subspecialty Certification Examinations Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-05 Emily K. Toutkoushian, Huaping Sun, Mark T. Keegan, Ann E. Harman
Linear logistic test models (LLTMs), leveraging item response theory and linear regression, offer an elegant method for learning about item characteristics in complex content areas. This study used...
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From Likert to Forced Choice: Statement Parameter Invariance and Context Effects in Personality Assessment Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-01 Jianbin Fu, Patrick C. Kyllonen, Xuan Tan
Users of forced-choice questionnaires (FCQs) to measure personality commonly assume statement parameter invariance across contexts – between Likert and forced-choice (FC) items and between differen...
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A Study on the Relationship Between Deep Learning and Statistical Models Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-29 Il Do Ha
Recently, deep learning has become a pervasive tool in prediction problems for structured and/or unstructured big data in various areas including science and engineering. In particular, deep neural...
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Uncertainty in Artificial Neural Network Models: Monte-Carlo Simulations Beyond the GUM Boundaries Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-29 A.M. Sadek, Fahad Al-Muhlaki
In this study, the accuracy of the artificial neural network (ANN) was assessed considering the uncertainties associated with the randomness of the data and the lack of learning. The Monte-Carlo al...
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Explainable Machine Learning for Credit Risk Management When Features are Dependent Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-01 Thanh Thuy Do, Golnoosh Babaei, Paolo Pagnottoni
Complex Machine Learning (ML) models used to support decision-making in peer-to-peer (P2P) lending often lack clear, accurate, and interpretable explanations. While the game-theoretic concept of Sh...
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A Matrix Lie Group Formulation of Measurement Theory: Symmetries of Classical Measurement Theory Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-01 William R. Nugent
Symmetry considerations are important in science, and Group Theory is a theory of symmetry. Classical Measurement Theory is the most used measurement theory in the social and behavioral sciences. I...
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A New Sampling Scheme for an Improved Monitoring of the Process Mean Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-01 Abdul Haq
This article introduces an innovative sampling scheme, the median sampling (MS), utilizing individual observations over time to efficiently estimate the mean of a process characterized by a symmetr...
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Novel Logarithmic Imputation Methods Under Ranked Set Sampling Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-01 Shashi Bhushan, Anoop Kumar
The data we encounter in real life often contain missing values. In sampling methods, missing value imputation is done with different methods. This article proposes novel logarithmic type imputatio...
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Formulating a Novel Physical Equation to Quantify Interocular Visual Acuity Influence Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-03-01 Slimani Hamza, Sawsan Dagher, Noureddine Bessous, Ali Hilal-Alnaqbi, Fabian Ezema
The limitation of conventional visual acuity assessment, which primarily focuses on individual eye performance (monocular visual acuity tests). This study addresses this limitation by emphasizing t...
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Estimation of Finite Population Variance Under Stratified Sampling in the Presence of Measurement Errors Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-29 Abdul Haq, Muhammad Usman, Manzoor Khan
Measurement errors may significantly distort the properties of an estimator. In this paper, estimators of the finite population variance using the information on first and second raw moments of the...
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Modeling Complex Data from Simulations to Assess Middle School Students’ NGSS-Aligned Science Learning Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-29 Emily K. Toutkoushian, Kihyun Ryoo
The Next Generation Science Standards (NGSS) delineate three interrelated dimensions that describe what students should know and how they should engage in science learning. These present significan...
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Environmental Behavior in the Private Sphere – Development and Evaluation of the Personal Pro-Environmental Behavior (PPB) Scale Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-29 Matthias Winfried Kleespies, Viktoria Feucht, Til Jonas Tille, Alina Miriam Bambach, Eva Gricar, Maximilian Claus, Michael Matthias Günther Konertz, Laura Kokott, Valentin Rupp, Valentin Bergmann, Volker Wenzel, Paul Wilhelm Dierkes
Human pro-environmental behavior in the private sphere is an important factor which influences nature and the environment and thus can contribute to the management of environmental problems. Althou...
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Validation and Implementation of Customer Classification System using Machine Learning Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-29 Hyemin Yoon, HyunJin Kim, Sangjin Kim
We have maintained the customer grade system that is being implemented to customers with excellent performance through customer segmentation for years. Currently, financial institutions that operat...
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An Examination of the Linking Error Currently Used in PISA Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-20 Alexander Robitzsch, Oliver Lüdtke
Educational large-scale assessment (LSA) studies like the program for international student assessment (PISA) provide important information about trends in the performance of educational indicators...
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Detecting Rater Bias in Mixed-Format Assessments Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-20 Stefanie A. Wind, Yuan Ge
Mixed-format assessments made up of multiple-choice (MC) items and constructed response (CR) items that are scored using rater judgments include unique psychometric considerations. When these item ...
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Choosing Between the Bi-Factor and Second-Order Factor Models: A Direct Test Using Latent Variable Modeling Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-20 Tenko Raykov, Lisa Calvocoressi, Randall E. Schumacker
This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain set...
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Scale Reliability Evaluation Using Bayesian Analysis: A Latent Variable Modeling Procedure Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-20 Tenko Raykov, George Marcoulides, Randall Schumacker
An application of Bayesian factor analysis for evaluation of scale reliability is discussed, which is developed within the framework of latent variable modeling. The method permits direct point and...
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Evaluating Cronbach’s Coefficient Alpha and Testing Its Identity to Scale Reliability: A Direct Bayesian Confirmatory Factor Analysis Procedure Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-20 Tenko Raykov, George Marcoulides, James Anthony, Natalja Menold
A Bayesian statistics-based approach is discussed that can be used for direct evaluation of the popular Cronbach’s coefficient alpha as an internal consistency index for multiple-component measurin...
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How Randomly are Students Random Responding to Your Questionnaire? Within-Person Variability in Random Responding Across Scales in the TIMSS 2015 Eighth-Grade Student Questionnaire Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-20 Saskia van Laar, Jianan Chen, Johan Braeken
Questionnaires in educational research assessing students’ attitudes and beliefs are low-stakes for the students. As a consequence, students might not always consistently respond to a questionnaire...
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Exploring Construct Measures Using Rasch Models and Discretization Methods to Analyze Existing Continuous Data Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-20 Chen Qiu, Michael R. Peabody, Kelly D. Bradley
It is meaningful to create a comprehensive score to extract information from mass continuous data when they measure the same latent concept. Therefore, this study adopts the logic of psychometrics ...
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Two-Stage Classification Method for Individual Workout Status Prediction with Machine Learning Approach Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-20 Yoonjae Noh, YoonIl Yoon, Sangjin Kim
The default risk, one of the main risk factors for bonds, should be measured and reflected in the bond yield. Particularly, in the case of financial companies that treat bonds as a major product, f...
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Closing Reporting Gaps: A Comparison of Methods for Estimating Unreported Subgroup Achievement on NAEP Measurement: Interdisciplinary Research and Perspectives Pub Date : 2024-02-20 David Bamat
The National Assessment of Educational Progress (NAEP) program only reports state-level subgroup results if it samples at least 62 students identifying with the subgroup. Since some subgroups const...
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Explore Testing Performance and Learning Behaviors Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-10-23 Yawei Shen, Shiyu Wang
This study explores various approaches to investigate participants’ testing performance and learning behaviors in a computer-based spatial rotation learning program. Using multivariate learning and...
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Computerized Multistage Testing: Principles, Designs and Practices with R Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-10-23 Mahmut Sami Yigiter, Nuri Dogan
In recent years, Computerized Multistage Testing (MST), with their versatile benefits, have found themselves a wide application in large scale assessments and have increased their popularity. The f...
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Measuring and Modeling Persons and Situations Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-10-23 Yun-Ruei Ku
Published in Measurement: Interdisciplinary Research and Perspectives (Vol. 21, No. 4, 2023)
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Handbook of Diagnostic Classification Models: Models and Model Extensions, Applications, Software Packages Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-10-23 Yu Bao, Nicolas Emundo Mireles
Published in Measurement: Interdisciplinary Research and Perspectives (Vol. 21, No. 4, 2023)
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Performance of Nonparametric Person-Fit Statistics with Unfolding versus Dominance Response Models Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-10-23 Jennifer Reimers, Ronna C. Turner, Jorge N. Tendeiro, Wen-Juo Lo, Elizabeth Keiffer
Person-fit analyses are commonly used to detect aberrant responding in self-report data. Nonparametric person fit statistics do not require fitting a parametric test theory model and have performed...
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Concerto Software for Computerized Adaptive Testing – Free Version Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-08-01 Yiling Cheng
ABSTRACT Computerized adaptive testing (CAT) offers an efficient and highly accurate method for estimating examinees' abilities. In this article, the free version of Concerto Software for CAT was reviewed, dividing our evaluation into three sections: software implementation, the Item Response Theory (IRT) features of CAT, and user experience. Overall, Concerto is an excellent tool for researchers seeking
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Integration of Historical Data for the Analysis of Multiple Assessment Studies Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-08-01 Katerina M. Marcoulides
ABSTRACT Integrative data analyses have recently been shown to be an effective tool for researchers interested in synthesizing datasets from multiple studies in order to draw statistical or substantive conclusions. The actual process of integrating the different datasets depends on the availability of some common measures or items reflecting the same studied constructs. However, exactly how many common
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Functional Data Analysis and Person Response Functions Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-08-01 Kyle T. Turner, George Engelhard Jr.
ABSTRACT The purpose of this study is to illustrate the use of functional data analysis (FDA) as a general methodology for analyzing person response functions (PRFs). Applications of FDA to psychometrics have included the estimation of item response functions and latent distributions, as well as differential item functioning. Although FDA has been suggested for modeling PRFs, there has been relatively
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Identifying Response Styles Using Person Fit Analysis and Response-Styles Models Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-08-01 Stefanie A. Wind, Yuan Ge
Published in Measurement: Interdisciplinary Research and Perspectives (Vol. 21, No. 3, 2023)
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Person Misfit and Person Reliability in Rating Scale Measures: The Role of Response Styles Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-08-01 Tongtong Zou, Daniel M. Bolt
ABSTRACT Person misfit and person reliability indices in item response theory (IRT) can play an important role in evaluating the validity of a test or survey instrument at the respondent level. Prior empirical comparisons of these indices have been applied to binary item response data and suggest that the two types of indices return very similar results. In this paper, however, we demonstrate an important
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Misclassification Error, Binary Regression Bias, and Reliability in Multidimensional Poverty Measurement: An Estimation Approach Based on Bayesian Modelling Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-06-21 Hector Najera
ABSTRACT Measurement error affects the quality of population orderings of an index and, hence, increases the misclassification of the poor and the non-poor groups and affects statistical inferences from binary regression models. Hence, the conclusions about the extent, profile, and distribution of poverty are likely to be misleading. However, the size and type (false positive/negatives) of classification
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Practical Considerations in Choosing an Anchor Test Form for Equating Under the Random Groups Design Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-06-21 Zhongmin Cui, Yong He
ABSTRACT Careful considerations are necessary when there is a need to choose an anchor test form from a list of old test forms for equating under the random groups design. The choice of the anchor form potentially affects the accuracy of equated scores on new test forms. Few guidelines, however, can be found in the literature on choosing the anchor form. Five indices were proposed in this study to
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A Tree-Based Approach to Identifying Response Styles with Anchoring Vignettes Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-06-21 Brian C. Leventhal, Christina K. Zigler
ABSTRACT Survey score interpretations are often plagued by sources of construct-irrelevant variation, such as response styles. In this study, we propose the use of an IRTree Model to account for response styles by making use of self-report items and anchoring vignettes. Specifically, we investigate how the IRTree approach with anchoring vignettes compares to traditional approaches that either do not
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Educational Measurement for Applied Researchers: Theory into Practice Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-06-21 Mengyao Zhang
Published in Measurement: Interdisciplinary Research and Perspectives (Vol. 21, No. 2, 2023)
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Item Response Theory and Modeling with Stata Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-06-21 Tenko Raykov
ABSTRACT This software review discusses the capabilities of Stata to conduct item response theory modeling. The commands needed for fitting the popular one-, two-, and three-parameter logistic models are initially discussed. The procedure for testing the discrimination parameter equality in the one-parameter model is then outlined. The commands for fitting several polytomous models are subsequently
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Examining the Relationships between Feedback Practices and Learning Motivation Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-03-07 Zhengdong Gan, Jinbo He, Lawrence Jun Zhang, Randall Schumacker
ABSTRACT While classroom feedback has been shown to be a key mediating factor in students’ learning process and performance, the bulk of current research on feedback in the field of foreign language education has largely focused on how teachers respond to students’ linguistic errors. Published research on how students in a foreign language context respond to different kinds of classroom feedback practice
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There are Many Greater Lower Bounds than Cronbach’s α: A Monte Carlo Simulation Study Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-03-07 Josip Novak, Blaž Rebernjak
ABSTRACT A Monte Carlo simulation study was conducted to examine the performance of α, λ2, λ4, μ2, ωT, GLBMRFA, and GLBAlgebraic coefficients. Population reliability, distribution shape, sample size, test length, and number of response categories were varied simultaneously. The results indicate that α and λ2 perform the worst overall. However, the performance of α is improved if the population reliability
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Evaluating the Discrepancy Between Scale Reliability and Cronbach’s Coefficient Alpha Using Latent Variable Modeling Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-03-07 Tenko Raykov, George A. Marcoulides
ABSTRACT This article outlines a readily applicable procedure for point and interval estimation of the population discrepancy between reliability and the popular Cronbach’s coefficient alpha for unidimensional multi-component measuring instruments with uncorrelated errors, which are widely used in behavioral and social research. The method is developed within the latent variable modeling framework
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Quantitative Data Analysis for Language Assessment Volume II: Advanced Methods Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-03-07 Masoomeh Estaji, Zahra Banitalebi
Published in Measurement: Interdisciplinary Research and Perspectives (Vol. 21, No. 1, 2023)
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Comparison of R Packages for Automated Test Assembly with Mixed-Integer Linear Programming Measurement: Interdisciplinary Research and Perspectives Pub Date : 2023-03-07 Michael R. Peabody
ABSTRACT Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical representation of the test assembly problem
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Advertisement Measurement: Interdisciplinary Research and Perspectives Pub Date : 2022-11-11
Published in Measurement: Interdisciplinary Research and Perspectives (Vol. 20, No. 4, 2022)
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Conceptual Grounding for Bayesian Inference for Latent Variables in Factor Analysis Measurement: Interdisciplinary Research and Perspectives Pub Date : 2022-11-02 Roy Levy
ABSTRACT Obtaining values for latent variables in factor analysis models, also referred to as factor scores, has long been of interest to researchers. However, many treatments of factor analysis do not focus on inference about the latent variables, and even fewer do so from a Bayesian perspective. Researchers may therefore be ill-acquainted with Bayesian thinking on this issue, despite the fact that
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Applications of Bayesian Confirmatory Factor Analysis in Behavioral Measurement: Strong Convergence of a Bayesian Parameter Estimator Measurement: Interdisciplinary Research and Perspectives Pub Date : 2022-11-02 Tenko Raykov, Philipp Doebler, George A. Marcoulides
ABSTRACT This article is concerned with the large-sample parameter estimatorbehavior in applications of Bayesian confirmatory factor analysis in behavioral measurement. The property of strong convergence of the popular Bayesian posterior median estimator is discussed, which states numerical convergence with probability 1 of the resulting estimates to the population parameter value as sample size increases