Psychometrika最新文献_第10页

Rejoinder to Commentaries on Lyu, Bolt and Westby's "Exploring the Effects of Item Specific Factors in Sequential and IRTree Models". 对 Lyu、Bolt 和 Westby 的 "探索顺序模型和 IRTree 模型中项目特定因素的影响 "评论的反驳。

IF 2.9 2区心理学

Psychometrika Pub Date : 2023-09-01 Epub Date: 2023-06-16 DOI: 10.1007/s11336-023-09913-w

Weicong Lyu, Daniel M Bolt

引用次数: 0

Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models. 探索顺序模型和 IRTree 模型中特定项目因素的影响。

IF 2.9 2区心理学

Psychometrika Pub Date : 2023-09-01 Epub Date: 2023-06-16 DOI: 10.1007/s11336-023-09912-x

Weicong Lyu, Daniel M Bolt, Samuel Westby

{"title":"Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models.","authors":"Weicong Lyu, Daniel M Bolt, Samuel Westby","doi":"10.1007/s11336-023-09912-x","DOIUrl":"10.1007/s11336-023-09912-x","url":null,"abstract":"Test items for which the item score reflects a sequential or IRTree modeling outcome are considered. For such items, we argue that item-specific factors, although not empirically measurable, will often be present across stages of the same item. In this paper, we present a conceptual model that incorporates such factors. We use the model to demonstrate how the varying conditional distributions of item-specific factors across stages become absorbed into the stage-specific item discrimination and difficulty parameters, creating ambiguity in the interpretations of item and person parameters beyond the first stage. We discuss implications in relation to various applications considered in the literature, including methodological studies of (1) repeated attempt items; (2) answer change/review, (3) on-demand item hints; (4) item skipping behavior; and (5) Likert scale items. Our own empirical applications, as well as several examples published in the literature, show patterns of violations of item parameter invariance across stages that are highly suggestive of item-specific factors. For applications using sequential or IRTree models as analytical models, or for which the resulting item score might be viewed as outcomes of such a process, we recommend (1) regular inspection of data or analytic results for empirical evidence (or theoretical expectations) of item-specific factors; and (2) sensitivity analyses to evaluate the implications of item-specific factors for the intended inferences or applications.","PeriodicalId":54534,"journal":{"name":"Psychometrika","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10279931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times. 用潜空间扩散项目反应理论模型探讨反应与反应时间之间的条件依赖关系。

IF 2.9 2区心理学

Psychometrika Pub Date : 2023-09-01 Epub Date: 2023-06-14 DOI: 10.1007/s11336-023-09920-x

Inhan Kang, Minjeong Jeon, Ivailo Partchev

{"title":"A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times.","authors":"Inhan Kang, Minjeong Jeon, Ivailo Partchev","doi":"10.1007/s11336-023-09920-x","DOIUrl":"10.1007/s11336-023-09920-x","url":null,"abstract":"Traditional measurement models assume that all item responses correlate with each other only through their underlying latent variables. This conditional independence assumption has been extended in joint models of responses and response times (RTs), implying that an item has the same item characteristics fors all respondents regardless of levels of latent ability/trait and speed. However, previous studies have shown that this assumption is violated in various types of tests and questionnaires and there are substantial interactions between respondents and items that cannot be captured by person- and item-effect parameters in psychometric models with the conditional independence assumption. To study the existence and potential cognitive sources of conditional dependence and utilize it to extract diagnostic information for respondents and items, we propose a diffusion item response theory model integrated with the latent space of variations in information processing rate of within-individual measurement processes. Respondents and items are mapped onto the latent space, and their distances represent conditional dependence and unexplained interactions. We provide three empirical applications to illustrate (1) how to use an estimated latent space to inform conditional dependence and its relation to person and item measures, (2) how to derive diagnostic feedback personalized for respondents, and (3) how to validate estimated results with an external measure. We also provide a simulation study to support that the proposed approach can accurately recover its parameters and detect conditional dependence underlying data.","PeriodicalId":54534,"journal":{"name":"Psychometrika","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10332140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses. Dirichlet 双响应模型：连续有界区间反应的项目反应模型。

IF 2.9 2区心理学

Psychometrika Pub Date : 2023-09-01 Epub Date: 2023-07-20 DOI: 10.1007/s11336-023-09924-7

Matthias Kloft, Raphael Hartmann, Andreas Voss, Daniel W Heck

{"title":"The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses.","authors":"Matthias Kloft, Raphael Hartmann, Andreas Voss, Daniel W Heck","doi":"10.1007/s11336-023-09924-7","DOIUrl":"10.1007/s11336-023-09924-7","url":null,"abstract":"Standard response formats such as rating or visual analogue scales require respondents to condense distributions of latent states or behaviors into a single value. Whereas this is suitable to measure central tendency, it neglects the variance of distributions. As a remedy, variability may be measured using interval-response formats, more specifically the dual-range slider (RS2). Given the lack of an appropriate item response model for the RS2, we develop the Dirichlet dual response model (DDRM), an extension of the beta response model (BRM; Noel & Dauvier in Appl Psychol Meas, 31:47-73, 2007). We evaluate the DDRM's performance by assessing parameter recovery in a simulation study. Results indicate overall good parameter recovery, although parameters concerning interval width (which reflect variability in behavior or states) perform worse than parameters concerning central tendency. We also test the model empirically by jointly fitting the BRM and the DDRM to single-range slider (RS1) and RS2 responses for two Extraversion scales. While the DDRM has an acceptable fit, it shows some misfit regarding the RS2 interval widths. Nonetheless, the model indicates substantial differences between respondents concerning variability in behavior. High correlations between person parameters of the BRM and DDRM suggest convergent validity between the RS1 and the RS2 interval location. Both the simulation and the empirical study demonstrate that the latent parameter space of the DDRM addresses an important issue of the RS2 response format, namely, the scale-inherent interdependence of interval location and interval width (i.e., intervals at the boundaries are necessarily smaller).","PeriodicalId":54534,"journal":{"name":"Psychometrika","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444675/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10628954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Item-Specific Factors in IRTree Models: When They Matter and When They Don't. IRTree 模型中的项目特定因素：何时重要，何时不重要？

IF 2.9 2区心理学

Psychometrika Pub Date : 2023-09-01 Epub Date: 2023-06-16 DOI: 10.1007/s11336-023-09916-7

Thorsten Meiser, Fabiola Reiber

引用次数: 0

Rotating Factors to Simplify Their Structural Paths. 旋转因子以简化其结构路径。

IF 2.9 2区心理学

Psychometrika Pub Date : 2023-09-01 Epub Date: 2022-07-22 DOI: 10.1007/s11336-022-09877-3

Guangjian Zhang, Minami Hattori, Lauren A Trichtinger

{"title":"Rotating Factors to Simplify Their Structural Paths.","authors":"Guangjian Zhang, Minami Hattori, Lauren A Trichtinger","doi":"10.1007/s11336-022-09877-3","DOIUrl":"10.1007/s11336-022-09877-3","url":null,"abstract":"Applications of structural equation modeling (SEM) may encounter issues like inadmissible parameter estimates, nonconvergence, or unsatisfactory model fit. We propose a new factor rotation method that reparameterizes the factor correlation matrix in exploratory factor analysis (EFA) such that factors can be either exogenous or endogenous. The proposed method is an oblique rotation method for EFA, but it allows directional structural paths among factors. We thus referred it to as FSP (factor structural paths) rotation. In particular, we can use FSP rotation to \"translate\" an SEM model to incorporate theoretical expectations on both factor loadings and structural parameters. We illustrate FSP rotation with an empirical example and explore its statistical properties with simulated data. The results include that (1) EFA with FSP rotation tends to fit data better and encounters fewer Heywood cases than SEM does when there are cross-loadings and many small nonzero loadings, (2) FSP rotated parameter estimates are satisfactory for small models, and (3) FSP rotated parameter estimates are more satisfactory for large models when the structural parameter matrices are sparse.","PeriodicalId":54534,"journal":{"name":"Psychometrika","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10277477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fitting and Testing Log-Linear Subpopulation Models with Known Support. 利用已知支持度拟合和测试对数线性子群模型

IF 2.9 2区心理学

Psychometrika Pub Date : 2023-09-01 Epub Date: 2023-06-14 DOI: 10.1007/s11336-023-09922-9

David J Hessen

引用次数: 0

Book Review. 书评。

IF 3 2区心理学

Psychometrika Pub Date : 2023-07-06 DOI: 10.1007/s11336-023-09923-8

Youn Seon Lim

引用次数: 0

Book Review 书评

IF 3 2区心理学

Psychometrika Pub Date : 2023-07-01 DOI: 10.1007/s11336-023-09927-4

Ji Seung Yang, Yang Liu, Sungyeun Kim

引用次数: 0

A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models. 区分单调同质性与单调多因素模型的测试。

IF 2.9 2区心理学

Psychometrika Pub Date : 2023-06-01 Epub Date: 2023-03-18 DOI: 10.1007/s11336-023-09905-w

Jules L Ellis, Klaas Sijtsma

{"title":"A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models.","authors":"Jules L Ellis, Klaas Sijtsma","doi":"10.1007/s11336-023-09905-w","DOIUrl":"10.1007/s11336-023-09905-w","url":null,"abstract":"The goodness-of-fit of the unidimensional monotone latent variable model can be assessed using the empirical conditions of nonnegative correlations (Mokken in A theory and procedure of scale-analysis, Mouton, The Hague, 1971), manifest monotonicity (Junker in Ann Stat 21:1359-1378, 1993), multivariate total positivity of order 2 (Bartolucci and Forcina in Ann Stat 28:1206-1218, 2000), and nonnegative partial correlations (Ellis in Psychometrika 79:303-316, 2014). We show that multidimensional monotone factor models with independent factors also imply these empirical conditions; therefore, the conditions are insensitive to multidimensionality. Conditional association (Rosenbaum in Psychometrika 49(3):425-435, 1984) can detect multidimensionality, but tests of it (De Gooijer and Yuan in Comput Stat Data Anal 55:34-44, 2011) are usually not feasible for realistic numbers of items. The only existing feasible test procedures that can reveal multidimensionality are Rosenbaum's (Psychometrika 49(3):425-435, 1984) Case 2 and Case 5, which test the covariance of two items or two subtests conditionally on the unweighted sum of the other items. We improve this procedure by conditioning on a weighted sum of the other items. The weights are estimated in a training sample from a linear regression analysis. Simulations show that the Type I error rate is under control and that, for large samples, the power is higher if one dimension is more important than the other or if there is a third dimension. In small samples and with two equally important dimensions, using the unweighted sum yields greater power.","PeriodicalId":54534,"journal":{"name":"Psychometrika","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188426/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9580487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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