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1.
在心理与教育测量中,潜在加工速度反映学生运用潜在能力解决问题的效率。为在多维测验中探究潜在加工速度的多维性并实现参数估计,本研究提出多维对数正态作答时间模型。实证数据分析及模拟研究结果表明:(1)潜在加工速度具有与潜在能力相匹配的多维结构;(2)新模型可精确估计个体水平的多维潜在加工速度及与作答时间有关的题目参数;(3)冗余指定潜在加工速度具有多维性带来的负面影响低于忽略其多维性所带来的。 相似文献
2.
Response times on test items are easily collected in modern computerized testing. When collecting both (binary) responses
and (continuous) response times on test items, it is possible to measure the accuracy and speed of test takers. To study the
relationships between these two constructs, the model is extended with a multivariate multilevel regression structure which
allows the incorporation of covariates to explain the variance in speed and accuracy between individuals and groups of test
takers. A Bayesian approach with Markov chain Monte Carlo (MCMC) computation enables straightforward estimation of all model
parameters. Model-specific implementations of a Bayes factor (BF) and deviance information criterium (DIC) for model selection
are proposed which are easily calculated as byproducts of the MCMC computation. Both results from simulation studies and real-data
examples are given to illustrate several novel analyses possible with this modeling framework.
The authors thank Steven Wise, James Madison University, and Pere Joan Ferrando, Universitat Rovira i Virgili, for generously
making available their data sets for the empirical examples in this paper. 相似文献
3.
Yanchun Xing Wenqing Ma Ningzhong Shi Yuan Wang 《The Japanese psychological research》2014,56(3):243-253
In this paper, we develop a latent processing ability model to analyze the speed of processing ability data. Our approach can not only effectively evaluate the effects of covariates on the latent processing ability, but also estimate the latent trait of each child by calculating its posterior mean. In addition, we derive the correlations structure of latent traits among different age groups. Simulations are conducted to evaluate the performance of our proposed model. The results indicated that the estimation of model parameters is satisfactory overall. The method is evaluated using real data from children aged 4–7 years in Changchun, China. 相似文献
4.
We develop a general approach to factor analysis that involves observed and latent variables that are assumed to be distributed
in the exponential family. This gives rise to a number of factor models not considered previously and enables the study of
latent variables in an integrated methodological framework, rather than as a collection of seemingly unrelated special cases.
The framework accommodates a great variety of different measurement scales and accommodates cases where different latent variables
have different distributions. The models are estimated with the method of simulated likelihood, which allows for higher dimensional
factor solutions to be estimated than heretofore. The models are illustrated on synthetic data. We investigate their performance
when the distribution of the latent variables is mis-specified and when part of the observations are missing. We study the
properties of the simulation estimators relative to maximum likelihood estimation with numerical integration. We provide an
empirical application to the analysis of attitudes. 相似文献
5.
Ping-Feng Xu Laixu Shang Qian-Zhen Zheng Na Shan Man-Lai Tang 《The British journal of mathematical and statistical psychology》2022,75(2):363-394
The aim of latent variable selection in multidimensional item response theory (MIRT) models is to identify latent traits probed by test items of a multidimensional test. In this paper the expectation model selection (EMS) algorithm proposed by Jiang et al. (2015) is applied to minimize the Bayesian information criterion (BIC) for latent variable selection in MIRT models with a known number of latent traits. Under mild assumptions, we prove the numerical convergence of the EMS algorithm for model selection by minimizing the BIC of observed data in the presence of missing data. For the identification of MIRT models, we assume that the variances of all latent traits are unity and each latent trait has an item that is only related to it. Under this identifiability assumption, the convergence of the EMS algorithm for latent variable selection in the multidimensional two-parameter logistic (M2PL) models can be verified. We give an efficient implementation of the EMS for the M2PL models. Simulation studies show that the EMS outperforms the EM-based L1 regularization in terms of correctly selected latent variables and computation time. The EMS algorithm is applied to a real data set related to the Eysenck Personality Questionnaire. 相似文献
6.
M. Marsman D. Borsboom J. Kruis S. Epskamp R. van Bork L. J. Waldorp 《Multivariate behavioral research》2018,53(1):15-35
In recent years, network models have been proposed as an alternative representation of psychometric constructs such as depression. In such models, the covariance between observables (e.g., symptoms like depressed mood, feelings of worthlessness, and guilt) is explained in terms of a pattern of causal interactions between these observables, which contrasts with classical interpretations in which the observables are conceptualized as the effects of a reflective latent variable. However, few investigations have been directed at the question how these different models relate to each other. To shed light on this issue, the current paper explores the relation between one of the most important network models—the Ising model from physics—and one of the most important latent variable models—the Item Response Theory (IRT) model from psychometrics. The Ising model describes the interaction between states of particles that are connected in a network, whereas the IRT model describes the probability distribution associated with item responses in a psychometric test as a function of a latent variable. Despite the divergent backgrounds of the models, we show a broad equivalence between them and also illustrate several opportunities that arise from this connection. 相似文献
7.
如何描述发展趋势的差异:潜变量混合增长模型 总被引:1,自引:0,他引:1
在追踪研究中,研究者不仅关心某一特质随时间的发展趋势,而且关注个体之间发展趋势的差异及其存在差异的原因。在总体发展同质的情形下,多层线性模型和潜变量增长曲线模型为解决这一问题提供了切实有效的方法。但是如果所研究的总体本身不同质,就需要一种能够描述总体中不同质子总体的不同发展特点的方法。该文简要介绍了一种能够描述不同群体不同发展趋势特征的统计模型——潜变量混合增长模型,并通过一个实际例子介绍了这一方法的应用过程,同时说明了潜变量混合增长模型与多层线性模型和潜变量增长曲线模型之间的关系 相似文献
8.
9.
Terry E. Duncan Susan C. Duncan 《Journal of psychopathology and behavioral assessment》2004,26(4):271-278
This paper presents a latent variable approach for the estimation of treatment effects within a pooled interrupted time series (ITS) design. Although considered quasi-experimental, the ITS design has been noted as representing one of the strongest alternatives to the randomized experiment, making it highly appropriate for use in documenting the presence of effects that might warrant further evaluation in a large-scale randomized study. Results suggest that the latent variable growth modeling (LGM) is capable of detecting simultaneous differences in both level and slope, and provides tests of significance for these two necessary indicators of an ITS intervention effect. As shown in the analyses, the LGM framework provides a comprehensive and flexible approach to research design and data analysis, making available to a wide audience of researchers an analytical framework for a variety of analyses of growth and developmental processes. 相似文献
10.
Kristine D. O'Laughlin Monica J. Martin Emilio Ferrer 《Multivariate behavioral research》2018,53(3):375-402
Statistical mediation analysis can help to identify and explain the mechanisms behind psychological processes. Examining a set of variables for mediation effects is a ubiquitous process in the social sciences literature; however, despite evidence suggesting that cross-sectional data can misrepresent the mediation of longitudinal processes, cross-sectional analyses continue to be used in this manner. Alternative longitudinal mediation models, including those rooted in a structural equation modeling framework (cross-lagged panel, latent growth curve, and latent difference score models) are currently available and may provide a better representation of mediation processes for longitudinal data. The purpose of this paper is twofold: first, we provide a comparison of cross-sectional and longitudinal mediation models; second, we advocate using models to evaluate mediation effects that capture the temporal sequence of the process under study. Two separate empirical examples are presented to illustrate differences in the conclusions drawn from cross-sectional and longitudinal mediation analyses. Findings from these examples yielded substantial differences in interpretations between the cross-sectional and longitudinal mediation models considered here. Based on these observations, researchers should use caution when attempting to use cross-sectional data in place of longitudinal data for mediation analyses. 相似文献
11.
The autoregressive latent trajectory (ALT) model synthesizes the autoregressive model and the latent growth curve model. The ALT model is flexible enough to produce a variety of discrepant model-implied change trajectories. While some researchers consider this a virtue, others have cautioned that this may confound interpretations of the model's parameters. In this article, we show that some—but not all—of these interpretational difficulties may be clarified mathematically and tested explicitly via likelihood ratio tests (LRTs) imposed on the initial conditions of the model. We show analytically the nested relations among three variants of the ALT model and the constraints needed to establish equivalences. A Monte Carlo simulation study indicated that LRTs, particularly when used in combination with information criterion measures, can allow researchers to test targeted hypotheses about the functional forms of the change process under study. We further demonstrate when and how such tests may justifiably be used to facilitate our understanding of the underlying process of change using a subsample (N = 3,995) of longitudinal family income data from the National Longitudinal Survey of Youth. 相似文献
12.
《The journal of positive psychology》2013,8(6):553-560
Background: There is accumulating evidence that positive mental health and psychopathology should be seen as separate indicators of mental health. This study contributes to this evidence by investigating the bidirectional relation between positive mental health and psychopathological symptoms over time. Methods: Positive mental health (MHC-SF) and psychopathological symptoms (BSI) were longitudinally measured in a representative adult sample (N?=?1932) on four measurement occasions in nine months. A cross-lagged panel design was applied and evaluated with a latent growth model combined with an item response theory measurement model. Results: Psychopathological symptoms were longitudinally related to positive mental health and vice versa, controlling for initial levels. The changes over time were even more important than the absolute levels of psychopathological symptoms and positive mental health, respectively. Conclusions: The results underline the need for a comprehensive perspective on mental health, incorporating both the treatment of symptoms and the enhancement of well-being. 相似文献
13.
Under consideration is a test battery of binary items. The responses ofn individuals are assumed to follow a Rasch model. It is further assumed that the latent individual parameters are distributed within a given population in accordance with a normal distribution. Methods are then considered for estimating the mean and variance of this latent population distribution. Also considered are methods for checking whether a normal population distribution fits the data. The developed methods are applied to data from an achievement test and from an attitude test. 相似文献
14.
Pursuing the line of the difference models in IRT (Thissen &; Steinberg, 1986), this article proposed a new cognitive diagnostic model for graded/polytomous data based on the deterministic input, noisy, and gate (Haertel, 1989; Junker &; Sijtsma, 2001), which is named the DINA model for graded data (DINA-GD). We investigated the performance of a full Bayesian estimation of the proposed model. In the simulation, the classification accuracy and item recovery for the DINA-GD model were investigated. The results indicated that the proposed model had acceptable examinees' correct attribute classification rate and item parameter recovery. In addition, a real-data example was used to illustrate the application of this new model with the graded data or polytomously scored items. 相似文献
15.
Jean-Paul Fox Rinke Klein Entink Caroline Timmers 《Multivariate behavioral research》2013,48(1):54-66
The present study concerns a Dutch computer-based assessment, which includes an assessment process about information literacy and a feedback process for students. The assessment is concerned with the measurement of skills in information literacy and the feedback process with item-based support to improve student learning. To analyze students’ feedback behavior (i.e. feedback use and attention time), test performance, and speed of working, a multivariate hierarchical latent variable model is proposed. The model can handle multivariate mixed responses from multiple sources related to different processes and comprehends multiple measurement components for responses and response times. A flexible within-subject latent variable structure is defined to explore multiple individual latent characteristics related to students’ test performance and feedback behavior. Main results of the computer-based assessment showed that feedback-information pages were less visited by well-performing students when they relate to easy items. Students’ attention paid to feedback was positively related to working speed but not to the propensity to use feedback. 相似文献
16.
Maximum likelihood estimation is computationally infeasible for latent variable models involving multivariate categorical responses, in particular for the LISCOMP model. A three-stage generalized least squares approach introduced by Muthén (1983, 1984) can experience problems of instability, bias, non-convergence, and non-positive definiteness of weight matrices in situations of low prevalence, small sample size and large numbers of observed indicator variables. We propose a quadratic estimating equations approach that only requires specification of the first two moments. By performing simultaneous estimation of parameters, this method does not encounter the problems mentioned above and experiences gains in efficiency. Methods are compared through a numerical study and an application to a study of life-events and neurotic illness.The authors would like to thank Bengt Muthén for many helpful discussions and Scott Henderson for generously providing the Canberra data set. This work was supported in part by grant number GM49909 of the National Institutes of Health. 相似文献
17.
潜在增长模型已成为国外纵向研究的有力分析工具。通过对国外抑郁症状纵向研究及潜在增长模型应用研究的整理,发现患者抑郁症状的变化轨迹存在个体差异,但其中又存在相似特征,根据这些特征可以将抑郁症状的变化轨迹主要分为四种,早期症状快速减少、治疗期间症状缓慢平稳减少、早期症状减少后期出现反弹和症状未出现明显变化。通过总结该模型在抑郁症状研究领域的应用成果,了解抑郁症患者抑郁症状变化的情况,以期为我国相关研究的进一步开展提供新思路。
相似文献18.
An IRT model with a parameter-driven process for change is proposed. Quantitative differences between persons are taken into
account by a continuous latent variable, as in common IRT models. In addition, qualitative interindividual differences and
autodependencies are accounted for by assuming within-subject variability with respect to the parameters of the IRT model.
In particular, the parameters of the IRT model are governed by an unobserved or “hidden'” homogeneous Markov process. The
model includes the mixture linear logistic test model (Mislevy & Verhelst, 1990), the mixture Rasch model (Rost, 1990), and
the Saltus model (Wilson, 1989) as specific instances. The model is applied to a longitudinal experiment on discontinuity
in conservation acquisition (van der Maas, 1993).
Frank Rijmen was supported by the Fund for Scientific Research Flanders (FWO), the GOA/2000/02 granted by the Katholieke Universiteit
Leuven to Paul De Boeck and Iven Van Mechelen, and the PDM/02/067 granted by the Katholieke Universiteit Leuven to Paul De
Boeck. 相似文献
19.
Myrsini Katsikatsou Irini Moustaki Haziq Jamil 《The British journal of mathematical and statistical psychology》2022,75(1):23-45
Methods for the treatment of item non-response in attitudinal scales and in large-scale assessments under the pairwise likelihood (PL) estimation framework and under a missing at random (MAR) mechanism are proposed. Under a full information likelihood estimation framework and MAR, ignorability of the missing data mechanism does not lead to biased estimates. However, this is not the case for pseudo-likelihood approaches such as the PL. We develop and study the performance of three strategies for incorporating missing values into confirmatory factor analysis under the PL framework, the complete-pairs (CP), the available-cases (AC) and the doubly robust (DR) approaches. The CP and AC require only a model for the observed data and standard errors are easy to compute. Doubly-robust versions of the PL estimation require a predictive model for the missing responses given the observed ones and are computationally more demanding than the AC and CP. A simulation study is used to compare the proposed methods. The proposed methods are employed to analyze the UK data on numeracy and literacy collected as part of the OECD Survey of Adult Skills. 相似文献
20.
追踪研究是一种通过引入时滞, 以探索变量动态变化趋势和变量之间相互关系的调查研究方法。近年来, 在组织行为学中, 追踪研究越来越受到学者们的关注, 追踪研究成果也在逐渐增加, 但是大多数研究者尤其是国内研究者, 对追踪研究尚缺乏全面正确的认识。追踪研究设计可以依照重复测量之间的时间间隔长短进行分类, 不同的类型对应不同的样本量、调查方式和统计分析方法, 未来可以拓展追踪研究在团队和领导力、组织文化和变革以及员工激励等方面的应用, 或开展跨文化的追踪研究。 相似文献