196,499 research outputs found
Evaluation of the impact of breast cancer screening in South Australia
No full text© 2009 The Authors
Journal compilation © 2009 Royal Australasian College of PhysiciansG. M. Tallis and T. J. O’Neil
Selection for an Optimum Growth Curve
No full text14 pages, 1 article*Selection for an Optimum Growth Curve* (Tallis, G. M.) 14 page
Measuring facets of Worry: A LISREL analysis of the Worry Domains Questionnaire
No full textIn the development of the Worry Domains Questionnaire (WDQ) for the measurement of nonpathological worry, (Tallis, Eysenck & Mathews, 1992. A questionnaire for the measurement of nonpathological worry. Personality and Individual Differences, 13, 161–168) Tallis et al. had used cluster analytical procedures to establish the number of worry domains. The resulting structure of the WDQ, however, was never adequately tested. This study therefore examined the WDQ's structure by use of confirmatory factor analysis comparing models of different factor structures. In the first sample of 466 participants, a five-factor model yielded the best fit to the data, characterized by highly correlated yet distinct domains of everyday worrying as they were originally proposed. This model was cross-validated with a second sample of 503 participants, showing stable factor loadings across samples. Whereas these analyses displayed a good fit of the five-factor representation for the item-based models, overall fit of all models was more prominent when items were aggregated (subscale models). Implications of the results and suggestions for future research are discussed
Weekly assessment of worry: an adaptation of the Penn State Worry Questionnaire for monitoring changes during treatment
No full textAn adaptation of the Penn State Worry Questionnaire (PSWQ) [Meyer, T. J., Miller, M. L., Metzger, R. L. and Borkovec, T. D. (1990). Development and validation of the Penn State Worry Questionnaire. Behaviour Research and Therapy, 28, 487-495.] for weekly assessment of worry was evaluated in a brief treatment study. Cognitive restructuring techniques were taught to 28 nonclinical high-worriers, 14 of whom served as a control group in a lagged waiting-list design. Results showed that the Penn State Worry Questionnaire-Past Week (PSWQ-PW) was highly reliable and substantially valid in the assessment of both (a) weekly status of worry and (b) treatment-related changes in worry: average Cronbach's alpha was 0.91; average convergent correlation with a past-week adaptation of the Worry Domains Questionnaire [Tallis, F., Eysenck, M. W. and Mathews, A. (1992). A questionnaire for the measurement of nonpathological worry. Personality and Individual Differences, 13, 161-168.] was 0.63 and pre-post improvement on PSWQ-PW showed a 0.71 correlation with the Questionnaire of Changes in Experiencing and Behavior [Zielke, M. and Kopf-Mehnert, C. (1978). Veränderungsfragebogen des Erlebens und Verhaltens. Weinheim, Germany: Beltz Test Gesellschaft.]. It is concluded that the PSWQ-PW is a useful instrument for monitoring pathological worry in experimental and applied settings
Delayed canopy senescence in elevated CO2? - evidence from remote sensing of canopy greenness
No full textComment : Working together: A call for inclusive conservation
No full textHeather Tallis, Jane Lubchenco and 238 co-signatories petition for an end to the infighting that is stalling progress in protecting the planet
Direct effects of elevated carbon dioxide on forest tree productivity
No full textThis paper provides an introduction to the book on forests and climatic change. A brief overview is given on the different sections included as well as the concepts covered in each: climate change, forestry and the science-policy interface; forestry options for contributing to climate change mitigation; adaptation regarding the impacts of climate change on forests; and policies within national and international frameworks <br/
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
Expected lifetime in South Australia 1841-1996
No full textFor each sex, population life tables have been calculated from mortality data associated with the age-specific population counts produced by each of the twentyfive population censuses that have been conducted in South Australia from 1841 until 1996. Estimates of expected lifetime have been derived separately for males and females for each census year. The computationally intensive statistical method of the bootstrap has been used to calculate a statistical sampling error for each estimate of expected lifetime. The results show generally increasing trends: from approximately 44 years and 48 years in 1841, to 75 years and 81 years in 1996, for males and females respectively.P. I. Leppard, G. M. Tallis & C. E. M. Pearc
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