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Strongly favorable statistic: integrating Heuristic-Systematic Model (HSM) and Social Judgement Theory (SJT).

Wong, Sze Ka. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (leaves 57-60). / Abstracts in English and Chinese. / Chapter Chapter 1: --- Introduction --- p.1 / The Heuristic-Systematic Model (HSM) --- p.4 / Positive and negative heuristic processing --- p.5 / Systematic processing and involvement with the corporation --- p.9 / Social Judgment Theory (SJT) --- p.11 / "Favorable change in perceived transport reliability statistics, perceived service quality and value for money" --- p.15 / Chapter Chapter 2: --- Method --- p.17 / Participants --- p.17 / Procedures --- p.17 / Measures --- p.19 / Chapter Chapter 3: --- Result --- p.28 / Validity Check --- p.28 / Demographic variables --- p.29 / Data Transformation --- p.29 / Dimensionality --- p.30 / Reliability --- p.37 / Model testing results --- p.38 / Hypothesis testing --- p.39 / Chapter Chapter 4: --- Discussion --- p.41 / The effect of discrepancy between one's own attitude and message position on favorable change in perceived transport reliability --- p.41 / The effect of favorable change in perceived transport reliability --- p.42 / The strong effect of positive heuristic processing and general attitude change --- p.43 / The limited role played by systematic processing --- p.45 / Implications for practitioners --- p.47 / Limitation of the present study and further research direction --- p.49 / Appendix 1: Measurement items --- p.53 / Appendix 2: Categorization of heuristic and systematic processing --- p.56 / References --- p.57

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_326107
Date January 2007
ContributorsWong, Sze Ka., Chinese University of Hong Kong Graduate School. Division of Psychology.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, vii, 60 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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