1,720,953 research outputs found
The role of therapeutic alliance in individual and couple cognitive-behavioral therapy for women with alchol [sic] dependence
The construct of therapeutic alliance has yet to be investigated among women participating in treatment for alcohol dependence. The current study examined predictors of the formation of alliance and its relationship with treatment outcome within individual and couples cognitive-behavioral therapy. It also developed a new, observer-rated measure of alliance and tested the psychometric properties of this instrument (Treatment Integrity Rating Scale Alliance-Related Items [TIRS-ARI]). Participants were 158 women with an alcohol use disorder (98% alcohol dependence) treated in a 12-session randomized clinical trial either with or without their male partner. Participants were not randomized to study arm (i.e., Individual/Couples), therefore all analyses were conducted separately for the Full, Individual Arm, and Couples Arm Samples. Data were collected at baseline and 3-, 9-, and 15-months post-baseline (003, 009, 015), and relevant variables included: motivation (SOCRATES [SOC], choice of abstinence goal), alliance (Working Alliance Inventory [WAI], TIRS-ARI), alcohol consumption (percent days abstinent [PDA]), and relationship functioning (Dyadic Adjustment Scale [DAS]). Results indicated that the new measure of alliance created for the current study (TIRS-ARI) exhibited adequate psychometric properties and was appropriate for use in conjunction with the WAI. Predictor analyses indicated that greater motivation was associated the formation of stronger alliances in individual, but not couples, therapy; women who chose an abstinence goal (an index of motivation) formed stronger alliances as measured by the WAI and TIRS-ARI in the Full Sample and by the WAI in the Individual Sample than those who chose a non-abstinence goal. In multiple regression predictor analyses, motivation (SOC Problem Recognition subscale) was found to be significantly associated with WAI among participants in the Individual Arm Sample. Additional treatment modalities differences indicated that women in the Individual Arm of the clinical trial formed significantly stronger alliances as measured by the WAI than women in the Couples Arm. Treatment outcome analyses found that alliance was predictive of both alcohol consumption and relationship functioning during follow up when controlling for baseline values of outcome variables. Higher scores on the WAI were associated with greater PDA at 009 in the Full and Individual Arm Samples and at 015 in the Individual Arm Sample. Among Couples Arm participants, higher scores on the WAI and TIRS-ARI were associated with greater relationship functioning (DAS) at 009 and 015, respectively. Overall, patterns of alliance formation and predictive utility differed between the Individual and Couples Arms, and the current study concludes with a discussion of the clinical implications of these identified patterns.Ph.D.Includes bibliographical referencesIncludes vitaby David Menge
Subscale validation of the drinking patterns questionnaire
The current study evaluated the psychometric properties of the Drinking Patterns Questionnaire (DPQ; Zitter & McCrady, 1979), a self-report instrument designed to identify high-risk drinking situations. The DPQ consists of 189 items representing possible drinking antecedents from eight distinct categories: Work-Related, Financial, Physiological, Interpersonal, Marital, Parents, Children, and Emotional. While prior research has supported the construct validity of the Physiological, Interpersonal, Marital, and Emotional subscales (Zweig, 2005), no validation studies have been conducted on the remaining subscales. The primary aim of the current study was to evaluate the construct validity of the Work-Related, Financial, Parents, and Children subscales of the DPQ. This evaluation was conducted via analyses of convergence between DPQ subscales scores and scores on correlate measures of the same or similar construct. A secondary aim was to evaluate the internal consistency of all eight DPQ subscales. Participants were 134 adult residents of an inpatient substance abuse treatment center who scored [greater than or equal to] 9 on the Alcohol Dependence Scale (a marker highly predictive of DSM-IV diagnosis of alcohol dependence; Chantarujikapong, Smith, & Fox, 1997). The mean age of participants was 40.0 (SD = 11.4), 48.5% were female, 94.8% were Caucasian, and 59.7% were employed. Five group administrations were conducted with approximately 30 residents participating on each occasion. Upon providing informed consent, participants completed a demographics questionnaire, the DPQ, and the four correlate measures corresponding to each DPQ subscale under evaluation. Results indicated that DPQ subscales evidenced adequate to strong internal consistency (i.e., coefficient alphas ranging from .691 to .921). Pearson's r correlations were then used to evaluate subscale convergent validity and significant correlations were found between scores on the Work-Related (n = 89, r = -.213, p [less than] .05), Financial (n = 130, r = .423, p [less than] .001), and Children (n = 62, r = -.510, p [less than] .001) subscales and scores on their respective correlate measures. Findings for the validity of the Parents subscale were mixed. Overall, study results provide strong evidence of construct validity for the Financial and Children subscales and modest evidence for the Work-Related subscale, and indicate that all DPQ subscales exhibit solid internal consistency.Ph.D.Includes bibliographical references (p. 38-41)
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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