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Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
Suyoung Kim; Sooyong Lee; Jiwon Kim; Tiffany A. Whittaker – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…
Descriptors: Social Science Research, Behavioral Sciences, Structural Equation Models, Statistical Analysis
Crompvoets, Elise A. V.; Béguin, Anton A.; Sijtsma, Klaas – Journal of Educational and Behavioral Statistics, 2020
Pairwise comparison is becoming increasingly popular as a holistic measurement method in education. Unfortunately, many comparisons are required for reliable measurement. To reduce the number of required comparisons, we developed an adaptive selection algorithm (ASA) that selects the most informative comparisons while taking the uncertainty of the…
Descriptors: Comparative Analysis, Statistical Analysis, Mathematics, Measurement
Remiro-Azócar, Antonio; Heath, Anna; Baio, Gianluca – Research Synthesis Methods, 2021
Population-adjusted indirect comparisons estimate treatment effects when access to individual patient data is limited and there are cross-trial differences in effect modifiers. Popular methods include matching-adjusted indirect comparison (MAIC) and simulated treatment comparison (STC). There is limited formal evaluation of these methods and…
Descriptors: Statistical Analysis, Computation, Outcomes of Treatment, Patients
Kalkan, Ömür Kaya – Measurement: Interdisciplinary Research and Perspectives, 2022
The four-parameter logistic (4PL) Item Response Theory (IRT) model has recently been reconsidered in the literature due to the advances in the statistical modeling software and the recent developments in the estimation of the 4PL IRT model parameters. The current simulation study evaluated the performance of expectation-maximization (EM),…
Descriptors: Comparative Analysis, Sample Size, Test Length, Algorithms
Benton, Tom – Research Matters, 2020
This article reviews the evidence on the extent to which experts' perceptions of item difficulties, captured using comparative judgement, can predict empirical item difficulties. This evidence is drawn from existing published studies on this topic and also from statistical analysis of data held by Cambridge Assessment. Having reviewed the…
Descriptors: Test Items, Difficulty Level, Expertise, Comparative Analysis
Benton, Tom; Leech, Tony; Hughes, Sarah – Cambridge Assessment, 2020
In the context of examinations, the phrase "maintaining standards" usually refers to any activity designed to ensure that it is no easier (or harder) to achieve a given grade in one year than in another. Specifically, it tends to mean activities associated with setting examination grade boundaries. Benton et al (2020) describes a method…
Descriptors: Mathematics Tests, Equated Scores, Comparative Analysis, Difficulty Level
No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
Mai, Yujiao; Zhang, Zhiyong; Wen, Zhonglin – Grantee Submission, 2018
Exploratory structural equation modeling (ESEM) is an approach for analysis of latent variables using exploratory factor analysis to evaluate the measurement model. This study compared ESEM with two dominant approaches for multiple regression with latent variables, structural equation modeling (SEM) and manifest regression analysis (MRA). Main…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Comparative Analysis, Statistical Bias
Pour Convergence: College Students' Definitions and Free-Poured Volumes of Standard Alcohol Servings
Kohn, Carolynn S.; Schultz, Nicole R.; Bettencourt, Katrina; Dunn Carlton, Heather – Journal of Drug Education, 2017
We examined the correspondence between college students' (N = 192, 71% women) definitions of free-pours and their free-poured volumes of beer, wine, and liquor. Participants' mean beer definitions and free-pours were positively correlated; participants' mean wine and liquor definitions were larger than their free-pours, which were fairly accurate.…
Descriptors: College Students, Correlation, Definitions, Drinking
Finch, W. Holmes; Shim, Sungok Serena – Educational and Psychological Measurement, 2018
Collection and analysis of longitudinal data is an important tool in understanding growth and development over time in a whole range of human endeavors. Ideally, researchers working in the longitudinal framework are able to collect data at more than two points in time, as this will provide them with the potential for a deeper understanding of the…
Descriptors: Comparative Analysis, Computation, Time, Change
Saluja, Ronak; Cheng, Sierra; delos Santos, Keemo Althea; Chan, Kelvin K. W. – Research Synthesis Methods, 2019
Objective: Various statistical methods have been developed to estimate hazard ratios (HRs) from published Kaplan-Meier (KM) curves for the purpose of performing meta-analyses. The objective of this study was to determine the reliability, accuracy, and precision of four commonly used methods by Guyot, Williamson, Parmar, and Hoyle and Henley.…
Descriptors: Meta Analysis, Reliability, Accuracy, Randomized Controlled Trials
Hu, Shenai; Vender, Maria; Fiorin, Gaetano; Delfitto, Denis – Journal of Learning Disabilities, 2018
Recent experimental results suggest that negation is particularly challenging for children with reading difficulties. This study looks at how young poor readers, speakers of Mandarin Chinese, comprehend affirmative and negative sentences as compared with a group of age-matched typical readers. Forty-four Chinese children were tested with a truth…
Descriptors: Reading Difficulties, Sentences, Mandarin Chinese, Reading Comprehension
Vieira, Luiz H. P.; Cunha, Sérgio A.; Moraes, Renato; Barbieri, Fabio A.; Aquino, Rodrigo; Oliveira, Lucas de P.; Navarro, Martina; Bedo, Bruno L. S.; Santiago, Paulo R. P. – Research Quarterly for Exercise and Sport, 2018
Purpose: The purpose of this study was to compare the kicking performance of young soccer players in the U9 to U20 age groups. Method: Three hundred and sixty-six Brazilian players were evaluated on an official pitch using three-dimensional kinematics to measure (300 Hz) ball velocity (V[subscript ball]), foot velocity (V[subscript foot]),…
Descriptors: Motion, Accuracy, Team Sports, Comparative Analysis
Kang, Hyeon-Ah; Lu, Ying; Chang, Hua-Hua – Applied Measurement in Education, 2017
Increasing use of item pools in large-scale educational assessments calls for an appropriate scaling procedure to achieve a common metric among field-tested items. The present study examines scaling procedures for developing a new item pool under a spiraled block linking design. The three scaling procedures are considered: (a) concurrent…
Descriptors: Item Response Theory, Accuracy, Educational Assessment, Test Items