A Cognitive Diagnostic Modeling of Attribute Mastery in Massachusetts, Minnesota, and the U.S. National Sample Using the TIMSS 2007

2011 ◽  
Vol 11 (2) ◽  
pp. 144-177 ◽  
Author(s):  
Young-Sun Lee ◽  
Yoon Soo Park ◽  
Didem Taylan
Keyword(s):  
National Sample ◽  
Cognitive Diagnostic Modeling ◽  
Timss 2007 ◽  
Diagnostic Modeling ◽  
The U.S

Family Structure, Family Processes, and Well-Being Among Asian Americans: Considering Gender and Nativity

2009 ◽  
Vol 31 (3) ◽  
pp. 301-332 ◽  
Author(s):  
Emily Walton ◽  
David T. Takeuchi
Keyword(s):  
Psychological Distress ◽  
Family Structure ◽  
Asian Americans ◽  
Extended Family ◽  
Well Being ◽  
National Sample ◽  
Foreign Born ◽  
Self Rated Health ◽  
Universal Family ◽  
The U.S

This article examines how facets of family structure and processes are linked to self-rated health and psychological distress in a national sample of Asian Americans. The authors find little support for well-established theories predicting the effects of family structure. Marital status does not affect self-rated health and has limited effects on psychological distress. The only effects of family composition are evident among men and the U.S.-born, where the presence of extended family in the home is related to lower levels of psychological distress. The authors find important gender and nativity differences in the effects of family cohesion, which protect the physical and psychological well-being of women and the U.S.-born but not men or foreign-born individuals. Findings suggest that the effects of family structure and processes on well-being are not universal. Family studies among Asian Americans that do not account for gender and nativity differences may be overlooking underlying complexity.

Applying AdaBoost to Improve Diagnostic Accuracy

Methodology ◽  
2019 ◽  
Vol 15 (2) ◽  
pp. 77-87 ◽  
Author(s):  
Zhehan Jiang ◽  
Kevin Walker ◽  
Dexin Shi
Keyword(s):  
Machine Learning ◽  
Diagnostic Accuracy ◽  
Latent Variables ◽  
Latent Variable ◽  
Area Under The Curve ◽  
Diagnostic Information ◽  
Small Sample ◽  
Simulation Studies ◽  
Cognitive Diagnostic Modeling ◽  
Diagnostic Modeling

Abstract. Cognitive diagnostic modeling has been adopted to support various diagnostic measuring processes. Specifically, this approach allows practitioners and/or researchers to investigate an individual’s status with regard to certain latent variables of interest. However, the diagnostic information provided by traditional estimation approaches often suffers from low accuracy, especially under small sample conditions. This paper adopts an AdaBoost technique, popular in the field of machine learning, to estimate latent variables. Further, the proposed approach involves the construction of a simple iterative algorithm that is based upon the AdaBoost technique – such that the area under the curve (AUC) is minimized. The algorithmic details are elaborated via pseudo codes with line-to-line verbal explanations. Simulation studies were conducted such that the improvement of latent variable estimates via the proposed approach can be examined.

scholarly journals Prevalence and correlates of anger in the community: results from a national survey

CNS Spectrums ◽  
2014 ◽  
Vol 20 (2) ◽  
pp. 130-139 ◽  
Author(s):  
Mayumi Okuda ◽  
Julia Picazo ◽  
Mark Olfson ◽  
Deborah S. Hasin ◽  
Shang-Min Liu ◽  
...  
Keyword(s):  
Psychosocial Functioning ◽  
National Sample ◽  
Self Report ◽  
Screening Tools ◽  
Loss Of Control ◽  
Dose Response Relationship ◽  
Younger Adults ◽  
Schizotypal Personality ◽  
Small Things ◽  
The U.S

IntroductionLittle is known about the prevalence and correlates of anger in the community.MethodsWe used data derived from a large national sample of the U.S. population, which included more than 34,000 adults ages 18 years and older. We defined inappropriate, intense, or poorly controlled anger by means of self-report of the following: (1) anger that was triggered by small things or that was difficult to control, (2) frequent temper outbursts or anger that lead to loss of control, or (3) hitting people or throwing objects in anger.ResultsThe overall prevalence of inappropriate, intense, or poorly controlled anger in the U.S. population was 7.8%. Anger was especially common among men and younger adults, and was associated with decreased psychosocial functioning. Significant and positive associations were evident between anger and parental factors, childhood, and adulthood adverse events. There were strong associations between anger and bipolar disorder, drug dependence, psychotic disorder, borderline, and schizotypal personality disorders. There was a dose-response relationship between anger and a broad range of psychopathology.ConclusionsA rationale exists for developing screening tools and early intervention strategies, especially for young adults, to identify and help reduce anger.

Validation of a Questionnaire for Personality Profiling using Cognitive Diagnostic Modeling

2018 ◽  
Vol 21 ◽  
Author(s):  
Javier Revuelta ◽  
Lucia Halty ◽  
Carmen Ximénez
Keyword(s):  
Behavioral Inhibition ◽  
Structural Equation ◽  
Behavioral Activation ◽  
Anger Expression ◽  
Equation Modeling ◽  
Personality Profiles ◽  
Modeling Framework ◽  
Callous Unemotional ◽  
Cognitive Diagnostic Modeling ◽  
Diagnostic Modeling

AbstractThis article describes the development of the ENCUIST (Extroversion, Neuroticism, Callous-Unemotional, Instability, Short-Test) questionnaire, which has been created to provide a personality profiling method based on a cognitive diagnostic modeling framework. The ENCUIST measures the attributes of extroversion, neuroticism, callous unemotionality and overt expressions of anger that are relevant in a forensic context. The scores provided by the ENCUIST are binary classifications of the individuals (high/low) in these attributes. The ENCUIST was developed using a sample of 516 subjects to study its validation through psychometric procedures, including factor analysis, cognitive diagnostic modeling and structural equation modeling. The results supported a four-factor structure. Linear regressions were used to evaluate the predictive validity of the scores provided by ENCUIST with respect to two external criteria that are relevant in the forensic context, namely behavioral activation and behavioral inhibition. The results showed that the extroversion dimension is positively related to behavioral activation, although the effect size is modest and the proportion of explained variance is only 11%. Moreover, the dimensions of neuroticism and anger expression are positively related to behavioral inhibition, with 7% of the variance explained. Together, these results suggest that cognitive diagnostic models are useful tools for the elaboration of personality profiles based on classifying subjects along binary attributes.

The Importance of Good Data

2010 ◽  
Vol 28 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Joanne Spetz
Keyword(s):  
United States ◽  
Federal Government ◽  
Health Resources ◽  
The United States ◽  
National Sample ◽  
Sample Survey ◽  
Future Research ◽  
National Sample Survey ◽  
History Of ◽  
The U.S

In 1977, the federal government launched the nation's largest and most significant program to collect data on the registered nurse (RN) workforce of the United States—the National Sample Survey of Registered Nurses (NSSRN). This survey is conducted by the U.S. Health Resources and Services Administration, first in 1977 and then every 4 years since 1980. This article offers the history of the NSSRN and a review of the ways in which the NSSRN data have been used to examine education, demographics, employment, shortages, and other aspects of the RN workforce. The influence this body of research has had on policymaking is explored. Recommendations for future research are offered, in the hope that future waves of the NSSRN will continue to be used to their fullest potential.

Characteristics of Violent Crime Committed by Female Prisoners

2016 ◽  
Vol 31 (3) ◽  
pp. 552-570 ◽  
Author(s):  
Judith S. Willison
Keyword(s):  
Violence Prevention ◽  
National Sample ◽  
Correctional Facilities ◽  
Department Of Justice ◽  
Violent Crimes ◽  
Female Prisoners ◽  
State Prisons ◽  
Domestic Setting ◽  
Violent Offenses ◽  
The U.S

This study expands limited existing knowledge of the characteristics of violent crimes for which women in state prisons are incarcerated. An analysis was conducted utilizing survey data collected from female state prisoners by the U.S. Department of Justice for the Survey of Inmates in State Correctional Facilities, 2004. The randomly selected, national sample consisted of 866 female state prisoners. Results suggest that the majority of the violent offenses occurred within the context of a relationship with the victim, most often in a domestic setting, and were influenced by the presence or absence of co-defendants. In addition, the use of weapons was infrequent and often defensive. Implications for practice in violence prevention, prison-based, and reentry services are discussed.

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