Educational and Psychological Measurement最新文献_第8页

Assessing Dimensionality of IRT Models Using Traditional and Revised Parallel Analyses. 使用传统和修订的平行分析法评估 IRT 模型的维度。

IF 2.7 3区心理学

Educational and Psychological Measurement Pub Date : 2023-06-01 Epub Date: 2022-07-21 DOI: 10.1177/00131644221111838

Wenjing Guo, Youn-Jeng Choi

{"title":"Assessing Dimensionality of IRT Models Using Traditional and Revised Parallel Analyses.","authors":"Wenjing Guo, Youn-Jeng Choi","doi":"10.1177/00131644221111838","DOIUrl":"10.1177/00131644221111838","url":null,"abstract":"Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some promise in assessing dimensionality. However, their performance in the IRT framework has not been systematically investigated. Therefore, we evaluated the accuracy of traditional and revised parallel analyses for determining the number of underlying dimensions in the IRT framework by conducting simulation studies. Six data generation factors were manipulated: number of observations, test length, type of generation models, number of dimensions, correlations between dimensions, and item discrimination. Results indicated that (a) when the generated IRT model is unidimensional, across all simulation conditions, traditional parallel analysis using principal component analysis and tetrachoric correlation performs best; (b) when the generated IRT model is multidimensional, traditional parallel analysis using principal component analysis and tetrachoric correlation yields the highest proportion of accurately identified underlying dimensions across all factors, except when the correlation between dimensions is 0.8 or the item discrimination is low; and (c) under a few combinations of simulated factors, none of the eight methods performed well (e.g., when the generation model is three-dimensional 3PL, the item discrimination is low, and the correlation between dimensions is 0.8).","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":"83 3","pages":"609-629"},"PeriodicalIF":2.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177320/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9475858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Changes in the Speed-Ability Relation Through Different Treatments of Rapid Guessing. 快速猜测的不同处理方式对速度-能力关系的影响。

IF 2.1 3区心理学

Educational and Psychological Measurement Pub Date : 2023-06-01 Epub Date: 2022-07-11 DOI: 10.1177/00131644221109490

Tobias Deribo, Frank Goldhammer, Ulf Kroehne

{"title":"Changes in the Speed-Ability Relation Through Different Treatments of Rapid Guessing.","authors":"Tobias Deribo, Frank Goldhammer, Ulf Kroehne","doi":"10.1177/00131644221109490","DOIUrl":"10.1177/00131644221109490","url":null,"abstract":"As researchers in the social sciences, we are often interested in studying not directly observable constructs through assessments and questionnaires. But even in a well-designed and well-implemented study, rapid-guessing behavior may occur. Under rapid-guessing behavior, a task is skimmed shortly but not read and engaged with in-depth. Hence, a response given under rapid-guessing behavior does bias constructs and relations of interest. Bias also appears reasonable for latent speed estimates obtained under rapid-guessing behavior, as well as the identified relation between speed and ability. This bias seems especially problematic considering that the relation between speed and ability has been shown to be able to improve precision in ability estimation. For this reason, we investigate if and how responses and response times obtained under rapid-guessing behavior affect the identified speed-ability relation and the precision of ability estimates in a joint model of speed and ability. Therefore, the study presents an empirical application that highlights a specific methodological problem resulting from rapid-guessing behavior. Here, we could show that different (non-)treatments of rapid guessing can lead to different conclusions about the underlying speed-ability relation. Furthermore, different rapid-guessing treatments led to wildly different conclusions about gains in precision through joint modeling. The results show the importance of taking rapid guessing into account when the psychometric use of response times is of interest.","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":"83 3","pages":"473-494"},"PeriodicalIF":2.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9846842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Impact of Sample Size and Various Other Factors on Estimation of Dichotomous Mixture IRT Models. 样本大小和其他各种因素对二分法混合 IRT 模型估计的影响。

IF 2.7 3区心理学

Educational and Psychological Measurement Pub Date : 2023-06-01 Epub Date: 2022-05-19 DOI: 10.1177/00131644221094325

Sedat Sen, Allan S Cohen

{"title":"The Impact of Sample Size and Various Other Factors on Estimation of Dichotomous Mixture IRT Models.","authors":"Sedat Sen, Allan S Cohen","doi":"10.1177/00131644221094325","DOIUrl":"10.1177/00131644221094325","url":null,"abstract":"The purpose of this study was to examine the effects of different data conditions on item parameter recovery and classification accuracy of three dichotomous mixture item response theory (IRT) models: the Mix1PL, Mix2PL, and Mix3PL. Manipulated factors in the simulation included the sample size (11 different sample sizes from 100 to 5000), test length (10, 30, and 50), number of classes (2 and 3), the degree of latent class separation (normal/no separation, small, medium, and large), and class sizes (equal vs. nonequal). Effects were assessed using root mean square error (RMSE) and classification accuracy percentage computed between true parameters and estimated parameters. The results of this simulation study showed that more precise estimates of item parameters were obtained with larger sample sizes and longer test lengths. Recovery of item parameters decreased as the number of classes increased with the decrease in sample size. Recovery of classification accuracy for the conditions with two-class solutions was also better than that of three-class solutions. Results of both item parameter estimates and classification accuracy differed by model type. More complex models and models with larger class separations produced less accurate results. The effect of the mixture proportions also differentially affected RMSE and classification accuracy results. Groups of equal size produced more precise item parameter estimates, but the reverse was the case for classification accuracy results. Results suggested that dichotomous mixture IRT models required more than 2,000 examinees to be able to obtain stable results as even shorter tests required such large sample sizes for more precise estimates. This number increased as the number of latent classes, the degree of separation, and model complexity increased.","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":"83 3","pages":"520-555"},"PeriodicalIF":2.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177317/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9475859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Small Sample Correction for Factor Score Regression. 因子得分回归的小样本校正。

IF 2.7 3区心理学

Educational and Psychological Measurement Pub Date : 2023-06-01 Epub Date: 2022-07-02 DOI: 10.1177/00131644221105505

Jasper Bogaert, Wen Wei Loh, Yves Rosseel

{"title":"A Small Sample Correction for Factor Score Regression.","authors":"Jasper Bogaert, Wen Wei Loh, Yves Rosseel","doi":"10.1177/00131644221105505","DOIUrl":"10.1177/00131644221105505","url":null,"abstract":"Factor score regression (FSR) is widely used as a convenient alternative to traditional structural equation modeling (SEM) for assessing structural relations between latent variables. But when latent variables are simply replaced by factor scores, biases in the structural parameter estimates often have to be corrected, due to the measurement error in the factor scores. The method of Croon (MOC) is a well-known bias correction technique. However, its standard implementation can render poor quality estimates in small samples (e.g. less than 100). This article aims to develop a small sample correction (SSC) that integrates two different modifications to the standard MOC. We conducted a simulation study to compare the empirical performance of (a) standard SEM, (b) the standard MOC, (c) naive FSR, and (d) the MOC with the proposed SSC. In addition, we assessed the robustness of the performance of the SSC in various models with a different number of predictors and indicators. The results showed that the MOC with the proposed SSC yielded smaller mean squared errors than SEM and the standard MOC in small samples and performed similarly to naive FSR. However, naive FSR yielded more biased estimates than the proposed MOC with SSC, by failing to account for measurement error in the factor scores.","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":"83 3","pages":"495-519"},"PeriodicalIF":2.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177321/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10349847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Is the Area Under Curve Appropriate for Evaluating the Fit of Psychometric Models? 曲线下面积是否适合用于评估心理测量模型的拟合度？

IF 2.7 3区心理学

Educational and Psychological Measurement Pub Date : 2023-06-01 Epub Date: 2022-05-24 DOI: 10.1177/00131644221098182

Yuting Han, Jihong Zhang, Zhehan Jiang, Dexin Shi

{"title":"Is the Area Under Curve Appropriate for Evaluating the Fit of Psychometric Models?","authors":"Yuting Han, Jihong Zhang, Zhehan Jiang, Dexin Shi","doi":"10.1177/00131644221098182","DOIUrl":"10.1177/00131644221098182","url":null,"abstract":"In the literature of modern psychometric modeling, mostly related to item response theory (IRT), the fit of model is evaluated through known indices, such as χ2, M2, and root mean square error of approximation (RMSEA) for absolute assessments as well as Akaike information criterion (AIC), consistent AIC (CAIC), and Bayesian information criterion (BIC) for relative comparisons. Recent developments show a merging trend of psychometric and machine learnings, yet there remains a gap in the model fit evaluation, specifically the use of the area under curve (AUC). This study focuses on the behaviors of AUC in fitting IRT models. Rounds of simulations were conducted to investigate AUC's appropriateness (e.g., power and Type I error rate) under various conditions. The results show that AUC possessed certain advantages under certain conditions such as high-dimensional structure with two-parameter logistic (2PL) and some three-parameter logistic (3PL) models, while disadvantages were also obvious when the true model is unidimensional. It cautions researchers about the dangers of using AUC solely in evaluating psychometric models.","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":"83 3","pages":"586-608"},"PeriodicalIF":2.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177322/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10299668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of Polytomous Item Locations in Multicomponent Measuring Instruments: A Note on a Latent Variable Modeling Procedure. 评估多成分测量工具中的多项式项目位置：关于潜在变量建模程序的说明。

IF 2.7 3区心理学

Educational and Psychological Measurement Pub Date : 2023-06-01 Epub Date: 2022-03-02 DOI: 10.1177/00131644211072829

Tenko Raykov, Martin Pusic

引用次数: 0

On Bank Assembly and Block Selection in Multidimensional Forced-Choice Adaptive Assessments. 关于多维强制选择适应性评估中的组库和组块选择。

IF 2.1 3区心理学

Educational and Psychological Measurement Pub Date : 2023-04-01 Epub Date: 2022-04-28 DOI: 10.1177/00131644221087986

Rodrigo S Kreitchmann, Miguel A Sorrel, Francisco J Abad

{"title":"On Bank Assembly and Block Selection in Multidimensional Forced-Choice Adaptive Assessments.","authors":"Rodrigo S Kreitchmann, Miguel A Sorrel, Francisco J Abad","doi":"10.1177/00131644221087986","DOIUrl":"10.1177/00131644221087986","url":null,"abstract":"Multidimensional forced-choice (FC) questionnaires have been consistently found to reduce the effects of socially desirable responding and faking in noncognitive assessments. Although FC has been considered problematic for providing ipsative scores under the classical test theory, item response theory (IRT) models enable the estimation of nonipsative scores from FC responses. However, while some authors indicate that blocks composed of opposite-keyed items are necessary to retrieve normative scores, others suggest that these blocks may be less robust to faking, thus impairing the assessment validity. Accordingly, this article presents a simulation study to investigate whether it is possible to retrieve normative scores using only positively keyed items in pairwise FC computerized adaptive testing (CAT). Specifically, a simulation study addressed the effect of (a) different bank assembly (with a randomly assembled bank, an optimally assembled bank, and blocks assembled on-the-fly considering every possible pair of items), and (b) block selection rules (i.e., T, and Bayesian D and A-rules) over the estimate accuracy and ipsativity and overlap rates. Moreover, different questionnaire lengths (30 and 60) and trait structures (independent or positively correlated) were studied, and a nonadaptive questionnaire was included as baseline in each condition. In general, very good trait estimates were retrieved, despite using only positively keyed items. Although the best trait accuracy and lowest ipsativity were found using the Bayesian A-rule with questionnaires assembled on-the-fly, the T-rule under this method led to the worst results. This points out to the importance of considering both aspects when designing FC CAT.","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":"83 2","pages":"294-321"},"PeriodicalIF":2.1,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972126/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10823905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating Confidence Intervals of Item Parameters When Some Item Parameters Take Priors in the 2PL and 3PL Models. 当某些项目参数在 2PL 和 3PL 模型中具有优先权时，调查项目参数的置信区间。

IF 2.7 3区心理学

Educational and Psychological Measurement Pub Date : 2023-04-01 Epub Date: 2022-05-16 DOI: 10.1177/00131644221096431

Insu Paek, Zhongtian Lin, Robert Philip Chalmers

{"title":"Investigating Confidence Intervals of Item Parameters When Some Item Parameters Take Priors in the 2PL and 3PL Models.","authors":"Insu Paek, Zhongtian Lin, Robert Philip Chalmers","doi":"10.1177/00131644221096431","DOIUrl":"10.1177/00131644221096431","url":null,"abstract":"To reduce the chance of Heywood cases or nonconvergence in estimating the 2PL or the 3PL model in the marginal maximum likelihood with the expectation-maximization (MML-EM) estimation method, priors for the item slope parameter in the 2PL model or for the pseudo-guessing parameter in the 3PL model can be used and the marginal maximum a posteriori (MMAP) and posterior standard error (PSE) are estimated. Confidence intervals (CIs) for these parameters and other parameters which did not take any priors were investigated with popular prior distributions, different error covariance estimation methods, test lengths, and sample sizes. A seemingly paradoxical result was that, when priors were taken, the conditions of the error covariance estimation methods known to be better in the literature (Louis or Oakes method in this study) did not yield the best results for the CI performance, while the conditions of the cross-product method for the error covariance estimation which has the tendency of upward bias in estimating the standard errors exhibited better CI performance. Other important findings for the CI performance are also discussed.","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":"83 2","pages":"375-400"},"PeriodicalIF":2.7,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972130/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10823906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multidimensional Forced-Choice CAT With Dominance Items: An Empirical Comparison With Optimal Static Testing Under Different Desirability Matching. 带有优势项目的多维强制选择 CAT：在不同可取性匹配条件下与最佳静态测试的实证比较。

IF 2.1 3区心理学

Educational and Psychological Measurement Pub Date : 2023-04-01 Epub Date: 2022-03-07 DOI: 10.1177/00131644221077637

Yin Lin, Anna Brown, Paul Williams

{"title":"Multidimensional Forced-Choice CAT With Dominance Items: An Empirical Comparison With Optimal Static Testing Under Different Desirability Matching.","authors":"Yin Lin, Anna Brown, Paul Williams","doi":"10.1177/00131644221077637","DOIUrl":"10.1177/00131644221077637","url":null,"abstract":"Several forced-choice (FC) computerized adaptive tests (CATs) have emerged in the field of organizational psychology, all of them employing ideal-point items. However, despite most items developed historically follow dominance response models, research on FC CAT using dominance items is limited. Existing research is heavily dominated by simulations and lacking in empirical deployment. This empirical study trialed a FC CAT with dominance items described by the Thurstonian Item Response Theory model with research participants. This study investigated important practical issues such as the implications of adaptive item selection and social desirability balancing criteria on score distributions, measurement accuracy and participant perceptions. Moreover, nonadaptive but optimal tests of similar design were trialed alongside the CATs to provide a baseline for comparison, helping to quantify the return on investment when converting an otherwise-optimized static assessment into an adaptive one. Although the benefit of adaptive item selection in improving measurement precision was confirmed, results also indicated that at shorter test lengths CAT had no notable advantage compared with optimal static tests. Taking a holistic view incorporating both psychometric and operational considerations, implications for the design and deployment of FC assessments in research and practice are discussed.","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":"83 2","pages":"322-350"},"PeriodicalIF":2.1,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972128/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10823904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Range Restriction Affects Factor Analysis: Normality, Estimation, Fit, Loadings, and Reliability. 范围限制对因子分析的影响：正态性、估计、拟合、载荷和可靠性。

IF 2.7 3区心理学

Educational and Psychological Measurement Pub Date : 2023-04-01 Epub Date: 2022-03-10 DOI: 10.1177/00131644221081867

Alicia Franco-Martínez, Jesús M Alvarado, Miguel A Sorrel

{"title":"Range Restriction Affects Factor Analysis: Normality, Estimation, Fit, Loadings, and Reliability.","authors":"Alicia Franco-Martínez, Jesús M Alvarado, Miguel A Sorrel","doi":"10.1177/00131644221081867","DOIUrl":"10.1177/00131644221081867","url":null,"abstract":"A sample suffers range restriction (RR) when its variance is reduced comparing with its population variance and, in turn, it fails representing such population. If the RR occurs over the latent factor, not directly over the observed variable, the researcher deals with an indirect RR, common when using convenience samples. This work explores how this problem affects different outputs of the factor analysis: multivariate normality (MVN), estimation process, goodness-of-fit, recovery of factor loadings, and reliability. In doing so, a Monte Carlo study was conducted. Data were generated following the linear selective sampling model, simulating tests varying their sample size ( <math><mrow><mi>N</mi></mrow> </math> = 200 and 500 cases), test size ( <math><mrow><mi>J</mi></mrow> </math> = 6, 12, 18, and 24 items), loading size ( <math><mrow><mi>L</mi></mrow> </math> = .50, .70, and .90), and restriction size (from <math><mrow><mi>R</mi></mrow> </math> = 1, .90, .80, and so on till .10 selection ratio). Our results systematically suggest that an interaction between decreasing the loading size and increasing the restriction size affects the MVN assessment, obstructs the estimation process, and leads to an underestimation of the factor loadings and reliability. However, most of the MVN tests and most of the fit indices employed were nonsensitive to the RR problem. We provide some recommendations to applied researchers.","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":"83 2","pages":"262-293"},"PeriodicalIF":2.7,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10823909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0