Joint Maximum Likelihood Estimation for Diagnostic Classification Models

Joint maximum likelihood estimation (JMLE) is developed for diagnostic classification models (DCMs). JMLE has been barely used in Psychometrics because JMLE parameter estimators typically lack statistical consistency. The JMLE procedure presented here resolves the consistency issue by incorporating an external, statistically consistent estimator of examinees’ proficiency class membership into the joint likelihood function, which subsequently allows for the construction of item parameter estimators that also have the consistency property. Consistency of the JMLE parameter estimators is established within the framework of general DCMs: The JMLE parameter estimators are derived for the Loglinear Cognitive Diagnosis Model (LCDM). Two consistency theorems are proven for the LCDM. Using the framework of general DCMs makes the results and proofs also applicable to DCMs that can be expressed as submodels of the LCDM. Simulation studies are reported for evaluating the performance of JMLE when used with tests of varying length and different numbers of attributes. As a practical application, JMLE is also used with “real world” educational data collected with a language proficiency test.     

Consistency Theory for the General Nonparametric Classification Method

Psychometrika - Parametric likelihood estimation is the prevailing method for fitting cognitive diagnosis models—also called diagnostic classification models (DCMs). Nonparametric concepts...     

Comparing mand training and other instructional methods to teach a foreign language

The purpose of the current study was to examine the effects of mand, tact, and native‐to‐foreign (NFI) and foreign‐to‐native (FNI) intraverbal training on the acquisition of a foreign language. We used a multiple‐baseline design across participants with an embedded adapted alternating treatments design to compare the effects of mand training, tact training, NFI training, and FNI training on the acquisition rate of Chinese words in four typically developing adults. We also examined the emergence of untrained foreign language responses for each training condition. Data for 3 out of the 4 participants suggest that mand training was the most efficient training procedure with respect to acquisition rate. The greatest amount of emergent responding was observed for the mand and tact training conditions.     

Why American conservatives and individuals from traditionalist cultures may share a preference for group uniformity

American culture is known for its emphasis on freedom‐promoting values such as self‐determination and autonomy. Yet, a large segment of American society endorses a conservative ideology that seems to go against these values. In this article, we empirically show that conservatives’ weaker endorsement of autonomy values predicts a preference to be an amorphous entity in a tight, uniform group (Study 1A). We do so by implementing a novel measure of sociocultural tightness that is not based on self‐report items. We subsequently show that cultural (East–West) differences in this preference can be explained through a similar mechanism (Study 1B). Hence, we show that some cognitive processes of American conservatives are similar to those of individuals coming from more collectivist, non‐Western societies.     

Socioeconomic and sociocultural determinants of psychological distress and quality of life among patients with psoriasis in a selected multi-ethnic Malaysian population

Patients with psoriasis may have increased risk of psychological comorbidities. This cross-sectional study aimed at determining associations between sociocultural and socioeconomic factors with the Depression Anxiety Stress Scale (DASS) scores and the Dermatology Life Quality Index (DLQI) scores. Adult patients with psoriasis were recruited from a Dermatology outpatient clinic via convenience sampling. Interviews were conducted regarding socio-demographic factors and willing subjects were requested to complete the DASS and DLQI questionnaires. The Pearson χ² test, Fisher’s exact test and multivariate logistic regression were used for statistical analysis to determine independent predictors of depression, anxiety, stress and severe impairment of quality of life. Unadjusted analysis revealed that depression was associated with Indian ethnicity (p = .041) and severe impairment of quality of life was associated with Indian ethnicity (p = .032), higher education (p = .013), higher income (p = .042), and employment status (p = .014). Multivariate analysis revealed that Indian ethnicity was a predictor of depression (p = .024). For stress, tertiary level of education (p = .020) was an independent risk factor while a higher monthly income was a protective factor (p = .042). The ethnic Indians and Malays were significantly more likely than the ethnic Chinese to suffer reduced quality of life (p = .001 and p = .006 respectively) and subjects with tertiary education were more likely to have severe impairment of quality of life (p = .002). Our study was unique in determining sociocultural influences on psychological complications of psoriasis in a South East Asian population. This has provided invaluable insight into factors predictive of adverse effects of psoriasis on psychological distress and quality of life in our patient population. Future studies should devise interventions to specifically target at risk groups in the development of strategies to reduce morbidity associated with psoriasis.     

On the Consistency of Q-Matrix Estimation: A Rejoinder

This rejoinder responds to the commentary by Liu (Psychometrika, 2015) entitled “On the consistency of Q-matrix estimation: A commentary” on the paper “A general method of empirical Q-matrix validation” by de la Torre and Chiu (Psychometrika, 2015). It discusses and addresses three concerns raised in the commentary, namely the estimation accuracy when a provisional Q-matrix is used, the consistency of the Q-matrix estimator, and the computational efficiency of the proposed method.     

Seeing the big picture: Broadening attention relieves sadness and depressed mood

We examined whether the broadened attentional scope would affect people's sad or depressed mood with two experiments, enlightened by the meaning of “seeing the big picture” and the broaden‐and‐build model. Experiment 1 (n = 164) is a laboratory‐based experiment, in which we manipulated the attentional scope by showing participants zoomed‐out or zoomed‐in scenes. In Experiment 2 (n = 44), we studied how depressed mood and positive and negative emotions were affected when participants watched distant versus proximal scenes for eight weeks in real life. Healthy participants in Experiment 1, who were induced to feel sad, could return to the baseline mood after having the broadened attention task but not after having the narrowed attention task, which indicated that immediate attention broadening manipulation could function as antidotes for the lingering effects of induced negative emotions. Participants with depressed mood in Experiment 2 showed reduced depressed mood, increased positive affect, and decreased negative affect after receiving attention broadening training compared to those receiving attention narrowing training. Our findings suggest a robust role of broadened attentional scope in relieving negative emotions and even mildly depressed mood in the long run.     

Video game addiction in children and teenagers in Taiwan.

Video game addiction in children and teenagers in Taiwan is associated with levels of animosity, social skills, and academic achievement. This study suggests that video game addiction can be statistically predicted on measures of hostility, and a group with high video game addiction has more hostility than others. Both gender and video game addiction are negatively associated with academic achievement. Family function, sensation seeking, gender, and boredom have statistically positive relationships with levels of social skills. Current models of video game addiction do not seem to fit the findings of this study.