scholarly journals Assessing Item-Level Fit for the DINA Model

2015 ◽  
Vol 39 (7) ◽  
pp. 525-538 ◽  
Author(s):  
Chun Wang ◽  
Zhan Shu ◽  
Zhuoran Shang ◽  
Gongjun Xu
Keyword(s):  
Dina Model ◽  
Item Level

scholarly journals Multilevel Modeling of Cognitive Diagnostic Assessment: The Multilevel DINA Example

2018 ◽  
Vol 43 (1) ◽  
pp. 34-50 ◽  
Author(s):  
Wen-Chung Wang ◽  
Xue-Lan Qiu
Keyword(s):  
Continuous Variable ◽  
Parameter Recovery ◽  
Dina Model ◽  
Variable Approach ◽  
Item Level ◽  
Multivariate Bernoulli ◽  
Level Model ◽  
Log Linear ◽  
Latent Attribute ◽  
Mathematics And Science

Many multilevel linear and item response theory models have been developed to account for multilevel data structures. However, most existing cognitive diagnostic models (CDMs) are unilevel in nature and become inapplicable when data have a multilevel structure. In this study, using the log-linear CDM as the item-level model, multilevel CDMs were developed based on the latent continuous variable approach and the multivariate Bernoulli distribution approach. In a series of simulations, the newly developed multilevel deterministic input, noisy, and gate (DINA) model was used as an example to evaluate the parameter recovery and consequences of ignoring the multilevel structures. The results indicated that all parameters in the new multilevel DINA were recovered fairly well by using the freeware Just Another Gibbs Sampler (JAGS) and that ignoring multilevel structures by fitting the standard unilevel DINA model resulted in poor estimates for the student-level covariates and underestimated standard errors, as well as led to poor recovery for the latent attribute profiles for individuals. An empirical example using the 2003 Trends in International Mathematics and Science Study eighth-grade mathematical test was provided.

Item Bias Analysis of the Young Schema-Questionnaire for Psychopathology, Gender, and Educational Level

2011 ◽  
Vol 27 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Marleen M. Rijkeboer ◽  
Huub van den Bergh ◽  
Jan van den Bout
Keyword(s):  
Educational Level ◽  
Cross Validation ◽  
Item Bias ◽  
Response Patterns ◽  
Dutch Population ◽  
Bias Analysis ◽  
Young Schema Questionnaire ◽  
Item Functioning ◽  
Item Level ◽  
Schema Questionnaire

This study examines the construct validity of the Young Schema-Questionnaire at the item level in a Dutch population. Possible bias of items in relation to the presence or absence of psychopathology, gender, and educational level was analyzed, using a cross-validation design. None of the items of the YSQ exhibited differential item functioning (DIF) for gender, and only one item showed DIF for educational level. Furthermore, item bias analysis did not identify DIF for the presence or absence of psychopathology in as much as 195 of the 205 items comprising the YSQ. Ten items, however, spread over the questionnaire, were found to yield relatively inconsistent response patterns for patients and nonclinical participants.

The Vienna Risk-Taking Test - Traffic

2007 ◽  
Vol 28 (4) ◽  
pp. 198-204 ◽  
Author(s):  
Andreas Hergovich ◽  
Martin E. Arendasy ◽  
Markus Sommer ◽  
Bettina Bognar
Keyword(s):  
Construct Validity ◽  
Personality Trait ◽  
Risk Taking ◽  
Personality Test ◽  
Educational Levels ◽  
Item Level ◽  
Degree Of Risk ◽  
And Gender ◽  
Homeostasis Theory

Abstract. The study reports results regarding the dimensionality and construct validity of a newly developed, objective, video-based personality test that assesses the willingness to take risks in traffic situations. On the basis of the theory of risk homeostasis developed by Wilde, different traffic situations with varying degrees of objective danger were filmed. During the test the respondents are asked to indicate at which point the action that is contingent on the described situation will become too dangerous to carry out. Latencies at the item level were recorded as a measure for the subjectively accepted degree of a person's willingness to take risks in the sense of the risk homeostasis theory by Wilde. In a study on 274 people with different educational levels and gender, the unidimensionality of the test as corresponding to the latency model by Scheiblechner was investigated. The results indicate that the Vienna Risk-Taking Test - Traffic assesses a unidimensional, latent personality trait that can be interpreted as subjectively accepted degree of risk (target risk value).

On Permissible Attribute Classes in Noncompensatory Cognitive Diagnosis Models

Methodology ◽  
2014 ◽  
Vol 10 (3) ◽  
pp. 100-107 ◽  
Author(s):  
Jürgen Groß ◽  
Ann Cathrice George
Keyword(s):  
Diagnostic Information ◽  
Cognitive Diagnosis ◽  
Latent Classes ◽  
Psychometric Test ◽  
Cognitive Diagnosis Models ◽  
Dina Model

When a psychometric test has been completed by a number of examinees, an afterward analysis of required skills or attributes may improve the extraction of diagnostic information. Relying upon the retrospectively specified item-by-attribute matrix, such an investigation may be carried out by classifying examinees into latent classes, consisting of subsets of required attributes. Specifically, various cognitive diagnosis models may be applied to serve this purpose. In this article it is shown that the permission of all possible attribute combinations as latent classes can have an undesired effect in the classification process, and it is demonstrated how an appropriate elimination of specific classes may improve the classification results. As an easy example, the popular deterministic input, noisy “and” gate (DINA) model is applied to Tatsuoka’s famous fraction subtraction data, and results are compared to current discussions in the literature.

Recent Innovations at the Item Level for Better Assessment

2012 ◽  
Author(s):  
Alan D. Mead ◽  
Stephen T. Murphy ◽  
Denny Way
Keyword(s):  
Item Level

Using Item-level Analyses to Better Understand the Consequences of Partialing Procedures: An Example Using the Dark Triad

2019 ◽  
Author(s):  
Colin Vize ◽  
Katherine Collison ◽  
Donald Lynam ◽  
Josh Miller
Keyword(s):  
Psychological Research ◽  
Dark Triad ◽  
Small Samples ◽  
Residual Content ◽  
Fine Grained ◽  
Large N ◽  
Dirty Dozen ◽  
Item Level ◽  
Variable Content ◽  
Small N

Objective: Partialing procedures are frequently used in psychological research. The present study sought to further explore the consequences of partialing, focusing on the replicability of partialing-based results. Method: We used popular measures of the Dark Triad (DT; Machiavellianism, narcissism, and psychopathy) to explore the replicability of partialing procedures. We examined whether the residual content of popular DT scales are similar to the residual content of DT scales derived from separate samples based on relations with individual items from the IPIP-NEO-120, allowing for a fine-grained analysis of residual variable content. Results: Profiles were compared using three sample sizes (Small N=156-157, Moderate N = 313-314, Large N = 627-628) randomly drawn from a large MTurk sample (N = 1,255). There was low convergence among original/residual DT scales within samples. Additionally, results showed the content of residual Dirty Dozen scales was not similar across samples. Similar results were found for Short Dark Triad-Machiavellianism, but only in the moderate and small samples. Conclusion: The results indicate that there are important issues that arise when using partialing procedures, including replicability issues surrounding residual variables. Reasons for the observed results are discussed and further research examining the replicability of residual-based results is recommended.

A New Method of Q-matrix Validation Based on DINA Model

2013 ◽  
Vol 44 (4) ◽  
pp. 558-568 ◽  
Author(s):  
Dong-Bo TU ◽  
Yan CAI ◽  
Hai-Qi DAI
Keyword(s):  
New Method ◽  
Dina Model ◽  
Q Matrix

scholarly journals Geographic Regional Variation in Patterns of Racial and Ethnic Disparities in Late-Life Depression

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 168-168
Author(s):  
Chirag Vyas ◽  
Charles Reynolds ◽  
David Mischoulon ◽  
Grace Chang ◽  
Olivia Okereke
Keyword(s):  
Native American ◽  
Ethnic Differences ◽  
Ethnic Disparities ◽  
Late Life ◽  
Geographic Region ◽  
Omega 3 ◽  
Late Life Depression ◽  
Item Level ◽  
Racial Ethnic ◽  
Hispanic White

Abstract There is evidence of racial/ethnic disparities in late-life depression (LLD) burden and treatment in the US. Geographic region may be a novel social determinant; yet, limited data exist regarding the interplay of geographic region with racial/ethnic differences in LLD severity, item-level symptom burden and treatment. We conducted a cross-sectional study among 25,503 men aged 50+ years and women aged 55+ years in VITAL-DEP (VITamin D and OmegA-3 TriaL-Depression Endpoint Prevention), an ancillary study to the VITAL trial. Racial/ethnic groups included Non-Hispanic White, Black, Hispanic, Asian, and other groups (Native American/Alaskan Native and other/multiple/unspecified-race/ethnicity). We assessed depression status using: the Patient Health Questionnaire-8 (PHQ-8); self-reported clinician/physician diagnosis of depression; medication and/or counseling treatment for depression. In the full sample, Midwest region was significantly associated with 12% lower severity of LLD, compared to Northeast region (rate ratio (RR) (95% confidence interval (CI)): 0.88 (0.83-0.93)). However, racial/ethnic differences in LLD varied by region. For example, in the Midwest, Blacks and Hispanics had significantly higher depression severity compared to non-Hispanic Whites (RR (95% CI): for Black, 1.16 (1.02-1.31); for Hispanic, 2.03 (1.38-3.00)). Furthermore, in multivariable-adjusted logistic regression models, minority vs. non-Hispanic White adults had 2- to 3-fold significantly higher odds of several item-level symptoms across all regions, especially in the Midwest and Southwest. Finally, among those endorsing PHQ-8≥10, Blacks had 60-80% significantly lower odds of depression treatment, compared to non-Hispanic Whites, in all regions. In summary, we observed significant geographic variation in patterns of racial/ethnic disparities in LLD outcomes. This requires further longitudinal investigation.

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