Differential Item Functioning of Pathological Gambling Criteria: An Examination of Gender, Race/Ethnicity, and Age

This study tested for the presence of differential item functioning (DIF) in DSM-IV Pathological Gambling Disorder (PGD) criteria based on gender, race/ethnicity and age. Using a nationally representative sample of adults from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), indicating current gambling (n = 10,899), Multiple Indicator-Multiple Cause (MIMIC) models tested for DIF, controlling for income, education, and marital status. Compared to the reference groups (i.e., Male, Caucasian, and ages 25–59 years), women (OR = 0.62; P < .001) and Asian Americans (OR = 0.33; P < .001) were less likely to endorse preoccupation (Criterion 1). Women were more likely to endorse gambling to escape (Criterion 5) (OR = 2.22; P < .001) but young adults (OR = 0.62; P < .05) were less likely to endorse it. African Americans (OR = 2.50; P < .001) and Hispanics were more likely to endorse trying to cut back (Criterion 3) (OR = 2.01; P < .01). African Americans were more likely to endorse the suffering losses (OR = 2.27; P < .01) criterion. Young adults were more likely to endorse chasing losses (Criterion 9) (OR = 1.81; P < .01) while older adults were less likely to endorse this criterion (OR = 0.76; P < .05). Further research is needed to identify factors contributing to DIF, address criteria level bias, and examine differential test functioning.     

Experience with a multi-year fleet planning model

The fleet planning problem requires determination of the changing airline fleet mix based on existing traffic levels and projected growth, on the existing fleet, various aircraft types available in the future, and other operational and financial considerations. Several applicable mathematical formulations have been reported. One of these has been programmed for the computer and used by the authors for several years. This paper discusses the application of that model to real airline planning situations. Such practical experience has effected changes in the program and the manner it is used in fleet planning studies.     

Gender-Specific Barriers to Self-Sufficiency among Former Supplemental Security Income Drug Addiction and Alcoholism Beneficiaries: Implications for Welfare-To-Work Programs and Services

This study examines barriers to economic self-sufficiency among a panel of 219 former Supplemental Security Income (SSI) drug addiction and alcoholism (DA&A) recipients following elimination of DA&A as an eligibility category for SSI disability benefits. Study participants were comprehensively surveyed at six measurement points following the policy change. Generalized estimating equations were used to examine full-sample and gender-specific barriers to economic self-sufficiency. Results indicate that access to transportation, age, and time are the strongest predictors of achieving self-sufficiency for both men and women leaving the welfare system. Gender-specific barriers are also identified. Future research needs to assess the generalizability of these results to other public assistance recipients.     

Gender-Specific Barriers to Self-Sufficiency Among Former Supplemental Security Income Drug Addiction and Alcoholism Beneficiaries: Implications for Welfare-To-Work Programs and Services

ABSTRACT

This study examines barriers to economic self-sufficiency among a panel of 219 former Supplemental Security Income (SSI) drug addiction and alcoholism (DA&A) recipients following elimination of DA&A as an eligibility category for SSI disability benefits. Study participants were comprehensively surveyed at six measurement points following the policy change. Generalized estimating equations were used to examine full-sample and gender-specific barriers to economic self-sufficiency. Results indicate that access to transportation, age, and time are the strongest predictors of achieving self-sufficiency for both men and women leaving the welfare system. Gender-specific barriers are also identified. Future research needs to assess the generalizability of these results to other public assistance recipients.