9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Program Implementers' Evaluation of the Project P.A.T.H.S.: Findings Based on Different Datasets over Time

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper integrates the evaluation findings based on program implementers in nine datasets collected from 2005 to 2009 (244 schools and 7,926 implementers). Using consolidated data with schools as the unit of analysis, results showed that program implementers generally had positive perceptions of the program, themselves, and benefits of the program, with more than four-fifths of the implementers regarding the program as beneficial to the program participants. The subjective outcome evaluation instrument was found to be internally consistent. Multiple regression analyses revealed that perceived qualities of the program and program implementers predicted perceived effectiveness of the program. In conjunction with evaluation findings based on other sources, the present study provides support for the effectiveness of the Tier 1 Program of the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in Hong Kong.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations

          Although different methods are available for the analyses of longitudinal data, analyses based on generalized linear models (GLM) are criticized as violating the assumption of independence of observations. Alternatively, linear mixed models (LMM) are commonly used to understand changes in human behavior over time. In this paper, the basic concepts surrounding LMM (or hierarchical linear models) are outlined. Although SPSS is a statistical analyses package commonly used by researchers, documentation on LMM procedures in SPSS is not thorough or user friendly. With reference to this limitation, the related procedures for performing analyses based on LMM in SPSS are described. To demonstrate the application of LMM analyses in SPSS, findings based on six waves of data collected in the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in Hong Kong are presented.
            Bookmark
            • Record: found
            • Abstract: not found
            • Book: not found

            Utilization-focused evaluation

              Bookmark
              • Record: found
              • Abstract: not found
              • Book: not found

              Utilization-focused evaluation: The new century text

                Bookmark

                Author and article information

                Journal
                ScientificWorldJournal
                ScientificWorldJournal
                TSWJ
                The Scientific World Journal
                The Scientific World Journal
                1537-744X
                2012
                1 May 2012
                : 2012
                : 918437
                Affiliations
                1Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong
                2Public Policy Research Institute, The Hong Kong Polytechnic University, Hong Kong
                3Department of Social Work, East China Normal University, Shanghai 200241, China
                4Kiang Wu Nursing College of Macau, Macau
                5Division of Adolescent Medicine, Department of Pediatrics, Kentucky Children's Hospital, University of Kentucky College of Medicine, Lexington, KY 40506, USA
                Author notes

                Academic Editor: Joav Merrick

                Article
                10.1100/2012/918437
                3353708
                22629224
                dd3e7218-a99a-4f3d-809a-15c8555b84d7
                Copyright © 2012 D. T. L. Shek and C. M. S. Ma.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 November 2011
                : 25 December 2011
                Categories
                Research Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article