The dependence construct fills an important explanatory role in motivational accounts of smoking and relapse. Frequently used measures of dependence are either atheoretical or grounded in a unidimensional model of physical dependence. This research creates a multidimensional measure of dependence that is based on theoretically grounded motives for drug use and is intended to reflect mechanisms underlying dependence. Data collected from a large sample of smokers (N = 775) indicated that all 13 subscales of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68) have acceptable internal consistency, are differentially present across levels of smoking heaviness, and have a multidimensional structure. Validity analyses indicated the WISDM-68 subscales are significantly related to dependence criteria such as smoking heaviness and to 4th edition Diagnostic and Statistical Manual of Mental Disorders symptoms of dependence and relapse.

This study examined change prospectively in autism symptoms and maladaptive behaviors during a 4.5 year period in 241 adolescents and adults with an autism spectrum disorder who were 10-52 years old (mean = 22.0) when the study began. Although many individuals' symptoms remained stable, a greater proportion of the sample experienced declines than increases in their level of autism symptoms and maladaptive behaviors, and there were significant improvements in mean levels of symptoms. Individuals with mental retardation had more autism symptoms and maladaptive behaviors than those without mental retardation, and they improved less over time. Compared to adolescents, older sample members (31 and older) had fewer maladaptive behaviors and experienced more improvement in these behaviors over time.

We compared the occurrence and timing of divorce in 391 parents of children with an autism spectrum disorder (ASD) and a matched representative sample of parents of children without disabilities using a survival analysis. Parents of children with an ASD had a higher rate of divorce than the comparison group (23.5% vs. 13.8%). The rate of divorce remained high throughout the son/daughter's childhood, adolescence, and early adulthood for parents of children with an ASD, whereas it decreased following the son/daughter's childhood (after about age 8 years) in the comparison group. Younger maternal age when the son/daughter with ASD was born and having the son/daughter born later in the birth order were positively predictive of divorce for parents of children with an ASD. Findings have implications for interventions focused on ameliorating ongoing and long term marital strains for parents of children with an ASD. KeywordsAutism spectrum disorders; Divorce; Marital Relationship; and Parent Publisher's Disclaimer: The following manuscript is the final accepted manuscript. It has not been subjected to the final copyediting, fact-checking, and proofreading required for formal publication. It is not the definitive, publisher-authenticated version. The American Psychological Association and its Council of Editors disclaim any responsibility or liabilities for errors or omissions of this manuscript version, any version derived from this manuscript by NIH, or other third parties. The published version is available at www.apa.org/pubs/journals/fam NIH Public Access NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author ManuscriptAutism spectrum disorders (ASD) are lifelong neurodevelopmental disorders involving a triad of impairments in communication, social reciprocity, and repetitive/restricted interests and behaviors (American Psychiatric Association, 2000). Parenting a son or daughter with an ASD poses several unique challenges (e.g., Seltzer, Krauss, Orsmond, & Vestal, 2001), which may take a toll on marriages. The extent of this toll in terms of divorce has been the topic of wide speculation in the media, with divorce rates of 80% and higher mentioned (Doherty, 2008;Solomon & Thierry, 2006), but the issue has not yet been addressed by empirical research. In this study, we compare the occurrence and timing of divorce among parents with an adolescent or adult with an ASD to a closely matched sample of parents of adolescents and adults without a disability drawn from a nationally representative sample. Family characteristics predictive of divorce are also identified.Several studies have examined parental divorce in heterogeneous samples of children with a variety of disabilities or specific populations of children with disabilities other than ASD. Some of these studies indicate that parents of children with a disability have an increased risk of divorce as compared to parents of children without a disability (Breslau & Davis, 1986;Witt, Riley, & Coiro, 2003; Wymbs, Pelhma, Molina, Gnagy, Wilson, & Greenhou...

An inability to maintain abstinence is a key indicator of tobacco dependence. Unfortunately, little evidence exists regarding the ability of the major tobacco dependence measures to predict smoking cessation outcome. This paper used data from four placebo-controlled smoking cessation trials and one international epidemiologic study to determine relations between the Fagerström Test for Nicotine Dependence (FTND; Heatherton et al., 1991), the Heaviness of Smoking Index (HSI; Kozlowski et al., 1994), the Nicotine Dependence Syndrome Scale (NDSS; Shiffman et al., 2004) and the Wisconsin Inventory of Smoking Dependence Motives (WISDM; Piper et al. 2004) with cessation success. Results showed that much of the predictive validity of the FTND could be attributed to its first item, time to first cigarette in the morning, and this item had greater validity than any other single measure. Thus, the time to first cigarette item appears to tap a pattern of heavy, uninterrupted, and automatic smoking and may be a good single-item measure of nicotine dependence.

Item response theory was used to investigate the functioning of the Psychopathy Checklist-Revised (PCL-R; R. D. Hare, 1991, 2003) in several offender populations. With male criminal offenders (N=3,847) as a reference group, differential item functioning analyses were performed for 3 comparison groups: female criminal offenders (N=1,219), male forensic psychiatric patients (N=1,246), and male criminal offenders scored from file reviews (N=2,626). Results are discussed in the context of the 2-factor, 4-facet model for the PCL-R (R. D. Hare, 2003; J. Parker, G. Sitarenios, & R. D. Hare, 2003). Application of a multigroup graded response model to all 4 groups suggests scalar equivalence may hold at least approximately for each population, although the PCL-R provided slightly greater information about the latent trait of psychopathy for male criminal offenders scored from the standard procedure.

A multidimensional item response theory model that accounts for response style factors is presented. The model, a multidimensional extension of Bock's nominal response model, is shown to allow for the study and control of response style effects in ordered rating scale data so as to reduce bias in measurement of the intended trait. In the current application, the model is also used to investigate response style as an underlying cause of differential item functioning. The approach is illustrated using the item responses of cigarette smokers to the Wisconsin Inventory of Smoking Dependence Motives, a self-report measure of tobacco dependence.

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Once a differential item functioning (DIF) item has been identified, little is known about the examinees for whom the item functions differentially. This is because DIF focuses on manifest group characteristics that are associated with it, but do not explain why examinees respond differentially to items. We first analyze item response patterns for gender DIF and then illustrate, through the use of a mixture item response theory (IRT) model, how the manifest characteristic associated with DIF often has a very weak relationship with the latent groups actually being advantaged or disadvantaged by the item(s). Next, we propose an alternative approach to DIF assessment that first uses an exploratory mixture model analysis to define the primary dimension(s) that contribute to DIF, and secondly studies examinee characteristics associated with those dimensions in order to understand the cause(s) of DIF. Comparison of academic characteristics of these examinees across classes reveals some clear differences in manifest characteristics between groups.