Psychometrika最新文献_第3页

Erratum: A Constrained Metropolis-Hastings Robbins-Monro Algorithm for Q Matrix Estimation in DINA Models. 更正：用于 DINA 模型中 Q 矩阵估计的受限 Metropolis-Hastings Robbins-Monro 算法。

IF 2.9 2区心理学

Psychometrika Pub Date : 2024-09-01 DOI: 10.1007/s11336-024-09974-5

Chen-Wei Liu, Björn Andersson, Anders Skrondal

引用次数: 0

Temporally Dynamic, Cohort-Varying Value-Added Models. 时间动态、群变增值模型。

IF 2.9 2区心理学

Psychometrika Pub Date : 2024-09-01 Epub Date: 2024-06-22 DOI: 10.1007/s11336-024-09979-0

Garritt L Page, Ernesto San Martín, David Torres Irribarra, Sébastien Van Bellegem

{"title":"Temporally Dynamic, Cohort-Varying Value-Added Models.","authors":"Garritt L Page, Ernesto San Martín, David Torres Irribarra, Sébastien Van Bellegem","doi":"10.1007/s11336-024-09979-0","DOIUrl":"10.1007/s11336-024-09979-0","url":null,"abstract":"We aim to estimate school value-added dynamically in time. Our principal motivation for doing so is to establish school effectiveness persistence while taking into account the temporal dependence that typically exists in school performance from one year to the next. We propose two methods of incorporating temporal dependence in value-added models. In the first we model the random school effects that are commonly present in value-added models with an auto-regressive process. In the second approach, we incorporate dependence in value-added estimators by modeling the performance of one cohort based on the previous cohort's performance. An identification analysis allows us to make explicit the meaning of the corresponding value-added indicators: based on these meanings, we show that each model is useful for monitoring specific aspects of school persistence. Furthermore, we carefully detail how value-added can be estimated over time. We show through simulations that ignoring temporal dependence when it exists results in diminished efficiency in value-added estimation while incorporating it results in improved estimation (even when temporal dependence is weak). Finally, we illustrate the methodology by considering two cohorts from Chile's national standardized test in mathematics.","PeriodicalId":54534,"journal":{"name":"Psychometrika","volume":" ","pages":"1074-1103"},"PeriodicalIF":2.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141441115","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

Variational Estimation for Multidimensional Generalized Partial Credit Model. 多维广义部分信用模型的变量估计。

IF 2.9 2区心理学

Psychometrika Pub Date : 2024-09-01 Epub Date: 2024-03-01 DOI: 10.1007/s11336-024-09955-8

Chengyu Cui, Chun Wang, Gongjun Xu

引用次数: 0

Book Review: Subscores : A Practical Guide to Their Production and Consumption by Shelby Haberman, Sandip Sinharay, Richard A. Feinberg, & Howard Wainer. 书评：子分数： Shelby Haberman、Sandip Sinharay、Richard A. Feinberg 和 Howard Wainer 合著的《Subscores : A Practical Guide to Their Production and Consumption》。

IF 2.9 2区心理学

Psychometrika Pub Date : 2024-08-14 DOI: 10.1007/s11336-024-09987-0

Michael C Edwards

引用次数: 0

Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM. 利用 GAMM 的副变量平滑函数比较密集二元纵向眼动跟踪数据中各组的功能趋势和学习情况

IF 2.9 2区心理学

Psychometrika Pub Date : 2024-07-17 DOI: 10.1007/s11336-024-09986-1

Sun-Joo Cho, Sarah Brown-Schmidt, Sharice Clough, Melissa C Duff

引用次数: 0

Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses. 多态响应 DINA 模型可识别性的充分和必要条件

IF 2.9 2区心理学

Psychometrika Pub Date : 2024-06-01 Epub Date: 2024-03-22 DOI: 10.1007/s11336-024-09961-w

Mengqi Lin, Gongjun Xu

引用次数: 0

Measures of Agreement with Multiple Raters: Fréchet Variances and Inference. 多个评分者的一致性测量：弗雷谢特方差与推理。

IF 2.9 2区心理学

Psychometrika Pub Date : 2024-06-01 Epub Date: 2024-01-08 DOI: 10.1007/s11336-023-09945-2

Jonas Moss

{"title":"Measures of Agreement with Multiple Raters: Fréchet Variances and Inference.","authors":"Jonas Moss","doi":"10.1007/s11336-023-09945-2","DOIUrl":"10.1007/s11336-023-09945-2","url":null,"abstract":"Most measures of agreement are chance-corrected. They differ in three dimensions: their definition of chance agreement, their choice of disagreement function, and how they handle multiple raters. Chance agreement is usually defined in a pairwise manner, following either Cohen's kappa or Fleiss's kappa. The disagreement function is usually a nominal, quadratic, or absolute value function. But how to handle multiple raters is contentious, with the main contenders being Fleiss's kappa, Conger's kappa, and Hubert's kappa, the variant of Fleiss's kappa where agreement is said to occur only if every rater agrees. More generally, multi-rater agreement coefficients can be defined in a g-wise way, where the disagreement weighting function uses g raters instead of two. This paper contains two main contributions. (a) We propose using Fréchet variances to handle the case of multiple raters. The Fréchet variances are intuitive disagreement measures and turn out to generalize the nominal, quadratic, and absolute value functions to the case of more than two raters. (b) We derive the limit theory of g-wise weighted agreement coefficients, with chance agreement of the Cohen-type or Fleiss-type, for the case where every item is rated by the same number of raters. Trying out three confidence interval constructions, we end up recommending calculating confidence intervals using the arcsine transform or the Fisher transform.","PeriodicalId":54534,"journal":{"name":"Psychometrika","volume":" ","pages":"517-541"},"PeriodicalIF":2.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11164747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139378748","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

A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA). 探索性因素分析的模型隐含工具变量法（MIIV-EFA）。

IF 2.9 2区心理学

Psychometrika Pub Date : 2024-06-01 Epub Date: 2024-03-26 DOI: 10.1007/s11336-024-09949-6

Kenneth A Bollen, Kathleen M Gates, Lan Luo

{"title":"A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA).","authors":"Kenneth A Bollen, Kathleen M Gates, Lan Luo","doi":"10.1007/s11336-024-09949-6","DOIUrl":"10.1007/s11336-024-09949-6","url":null,"abstract":"Spearman (Am J Psychol 15(1):201-293, 1904. https://doi.org/10.2307/1412107 ) marks the birth of factor analysis. Many articles and books have extended his landmark paper in permitting multiple factors and determining the number of factors, developing ideas about simple structure and factor rotation, and distinguishing between confirmatory and exploratory factor analysis (CFA and EFA). We propose a new model implied instrumental variable (MIIV) approach to EFA that allows intercepts for the measurement equations, correlated common factors, correlated errors, standard errors of factor loadings and measurement intercepts, overidentification tests of equations, and a procedure for determining the number of factors. We also permit simpler structures by removing nonsignificant loadings. Simulations of factor analysis models with and without cross-loadings demonstrate the impressive performance of the MIIV-EFA procedure in recovering the correct number of factors and in recovering the primary and secondary loadings. For example, in nearly all replications MIIV-EFA finds the correct number of factors when N is 100 or more. Even the primary and secondary loadings of the most complex models were recovered when the sample sizes were at least 500. We discuss limitations and future research areas. Two appendices describe alternative MIIV-EFA algorithms and the sensitivity of the algorithm to cross-loadings.","PeriodicalId":54534,"journal":{"name":"Psychometrika","volume":" ","pages":"687-716"},"PeriodicalIF":2.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140295346","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

Remarks From the Editor-in-Chief. 主编致辞。

IF 3 2区心理学

Psychometrika Pub Date : 2024-06-01 DOI: 10.1007/s11336-024-09981-6

Sandip Sinharay

引用次数: 0

Using External Information for More Precise Inferences in General Regression Models. 在一般回归模型中利用外部信息进行更精确的推断。

IF 2.9 2区心理学

Psychometrika Pub Date : 2024-06-01 Epub Date: 2024-02-20 DOI: 10.1007/s11336-024-09953-w

Martin Jann, Martin Spiess

{"title":"Using External Information for More Precise Inferences in General Regression Models.","authors":"Martin Jann, Martin Spiess","doi":"10.1007/s11336-024-09953-w","DOIUrl":"10.1007/s11336-024-09953-w","url":null,"abstract":"Empirical research usually takes place in a space of available external information, like results from single studies, meta-analyses, official statistics or subjective (expert) knowledge. The available information ranges from simple means and proportions to known relations between a multitude of variables or estimated distributions. In psychological research, external information derived from the named sources may be used to build a theory and derive hypotheses. In addition, techniques do exist that use external information in the estimation process, for example prior distributions in Bayesian statistics. In this paper, we discuss the benefits of adopting generalized method of moments with external moments, as another example for such a technique. Analytical formulas for estimators and their variances in the multiple linear regression case are derived. An R function that implements these formulas is provided in the supplementary material for general applied use. The effects of various practically relevant moments are analyzed and tested in a simulation study. A new approach to robustify the estimators against misspecification of the external moments based on the concept of imprecise probabilities is introduced. Finally, the resulting externally informed model is applied to a dataset to investigate the predictability of the premorbid intelligence quotient based on lexical tasks, leading to a reduction of variances and thus to narrower confidence intervals.","PeriodicalId":54534,"journal":{"name":"Psychometrika","volume":" ","pages":"439-460"},"PeriodicalIF":2.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11164816/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139914062","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