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61.
María Guillot-Valdés Alejandro Guillén-Riquelme Gualberto Buela-Casal 《International Journal of Clinical and Health Psychology》2019,19(3):243-250
Background/ObjectiveDepressive disorders have a high prevalence around the world. They present a great comorbidity with other disorders like anxiety, thereby making a differential diagnosis very difficult. The Basic Depression Questionnaire was designed to palliate this issue by isolating specific depression symptoms. Our aim is to study the reliability, factorial structure, and differential item functioning of this questionnaire. Method: The sample consisted of 1,397 adults without psychological problems (Mage = 29.76, SD = 11.25, 64.78% women) who completed the CBD. Results: We observed that none of the items presented differential functioning. A monofactorial structure was established. In this model a good fit was obtained by confirmatory factor analysis and a strict invariance by sex. The ordinal alpha was used to check the reliability and it fetched an index of .95. Conclusions: The Basic Depression Questionnaire has adequate psychometric properties. The absence of differential item functioning and the invariance by sex are guarantees of an adequate use to diagnose depression for men and women. So, its clinical use can help to differentiate between the specific diagnoses for depressive disorders and anxiety disorders. 相似文献
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64.
Developing new online calibration methods for multidimensional computerized adaptive testing
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Ping Chen Chun Wang Tao Xin Hua‐Hua Chang 《The British journal of mathematical and statistical psychology》2017,70(1):81-117
Multidimensional computerized adaptive testing (MCAT) has received increasing attention over the past few years in educational measurement. Like all other formats of CAT, item replenishment is an essential part of MCAT for its item bank maintenance and management, which governs retiring overexposed or obsolete items over time and replacing them with new ones. Moreover, calibration precision of the new items will directly affect the estimation accuracy of examinees’ ability vectors. In unidimensional CAT (UCAT) and cognitive diagnostic CAT, online calibration techniques have been developed to effectively calibrate new items. However, there has been very little discussion of online calibration in MCAT in the literature. Thus, this paper proposes new online calibration methods for MCAT based upon some popular methods used in UCAT. Three representative methods, Method A, the ‘one EM cycle’ method and the ‘multiple EM cycles’ method, are generalized to MCAT. Three simulation studies were conducted to compare the three new methods by manipulating three factors (test length, item bank design, and level of correlation between coordinate dimensions). The results showed that all the new methods were able to recover the item parameters accurately, and the adaptive online calibration designs showed some improvements compared to the random design under most conditions. 相似文献
65.
Non‐ignorable missingness item response theory models for choice effects in examinee‐selected items
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Chen‐Wei Liu Wen‐Chung Wang 《The British journal of mathematical and statistical psychology》2017,70(3):499-524
Examinee‐selected item (ESI) design, in which examinees are required to respond to a fixed number of items in a given set, always yields incomplete data (i.e., when only the selected items are answered, data are missing for the others) that are likely non‐ignorable in likelihood inference. Standard item response theory (IRT) models become infeasible when ESI data are missing not at random (MNAR). To solve this problem, the authors propose a two‐dimensional IRT model that posits one unidimensional IRT model for observed data and another for nominal selection patterns. The two latent variables are assumed to follow a bivariate normal distribution. In this study, the mirt freeware package was adopted to estimate parameters. The authors conduct an experiment to demonstrate that ESI data are often non‐ignorable and to determine how to apply the new model to the data collected. Two follow‐up simulation studies are conducted to assess the parameter recovery of the new model and the consequences for parameter estimation of ignoring MNAR data. The results of the two simulation studies indicate good parameter recovery of the new model and poor parameter recovery when non‐ignorable missing data were mistakenly treated as ignorable. 相似文献
66.
Multifaceted data are very common in the human sciences. For example, test takers' responses to essay items are marked by raters. If multifaceted data are analyzed with standard facets models, it is assumed there is no interaction between facets. In reality, an interaction between facets can occur, referred to as differential facet functioning. A special case of differential facet functioning is the interaction between ratees and raters, referred to as differential rater functioning (DRF). In existing DRF studies, the group membership of ratees is known, such as gender or ethnicity. However, DRF may occur when the group membership is unknown (latent) and thus has to be estimated from data. To solve this problem, in this study, we developed a new mixture facets model to assess DRF when the group membership is latent and we provided two empirical examples to demonstrate its applications. A series of simulations were also conducted to evaluate the performance of the new model in the DRF assessment in the Bayesian framework. Results supported the use of the mixture facets model because all parameters were recovered fairly well, and the more data there were, the better the parameter recovery. 相似文献
67.
Jodi M. Casabianca Brian W. Junker Ricardo Nieto Mark A. Bond 《Multivariate behavioral research》2017,52(5):576-592
Research studies in psychology and education often seek to detect changes or growth in an outcome over a duration of time. This research provides a solution to those interested in estimating latent traits from psychological measures that rely on human raters. Rater effects potentially degrade the quality of scores in constructed response and performance assessments. We develop an extension of the hierarchical rater model (HRM), which yields estimates of latent traits that have been corrected for individual rater bias and variability, for ratings that come from longitudinal designs. The parameterization, called the longitudinal HRM (L-HRM), includes an autoregressive time series process to permit serial dependence between latent traits at adjacent timepoints, as well as a parameter for overall growth. We evaluate and demonstrate the feasibility and performance of the L-HRM using simulation studies. Parameter recovery results reveal predictable amounts and patterns of bias and error for most parameters across conditions. An application to ratings from a study of character strength demonstrates the model. We discuss limitations and future research directions to improve the L-HRM. 相似文献
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Higher-order latent trait models for cognitive diagnosis 总被引:9,自引:0,他引:9
Higher-order latent traits are proposed for specifying the joint distribution of binary attributes in models for cognitive
diagnosis. This approach results in a parsimonious model for the joint distribution of a high-dimensional attribute vector
that is natural in many situations when specific cognitive information is sought but a less informative item response model
would be a reasonable alternative. This approach stems from viewing the attributes as the specific knowledge required for
examination performance, and modeling these attributes as arising from a broadly-defined latent trait resembling theϑ of item response models. In this way a relatively simple model for the joint distribution of the attributes results, which
is based on a plausible model for the relationship between general aptitude and specific knowledge. Markov chain Monte Carlo
algorithms for parameter estimation are given for selected response distributions, and simulation results are presented to
examine the performance of the algorithm as well as the sensitivity of classification to model misspecification. An analysis
of fraction subtraction data is provided as an example.
This research was funded by National Institute of Health grant R01 CA81068. We would like to thank William Stout and Sarah
Hartz for many useful discussions, three anonymous reviewers for helpful comments and suggestions, and Kikumi Tatsuoka and
Curtis Tatsuoka for generously sharing data. 相似文献
70.
汉语无关联词因果复句的命题表征项目互换效应 总被引:1,自引:0,他引:1
采用句子—图画验证任务探讨了汉语无关联词因果复句的命题表征项目互换效应。结果表明 ,汉语无关联词因果复句的项目表达顺序为“结果→原因”时 ,所形成的命题表征中项目发生互换 ,其结果为“原因→结果”。本研究结果初步表明 ,在没有关联词的语法提示条件下 ,读者在理解汉语无关联词的因果复句的过程中能够根据其语义内容按照“原因→结果”固定方向进行系列的认知加工 相似文献