According to the Elaboration likelihood model‚ there are two routes to persuasion. The central route‚ which is‚ thoughtfully considering the arguments‚ presented. An audience has to be listening and able to understand the argument given. The central route is often more likely to lead to a lasting persuasion‚ if the audience thinks initially thinks favorably of the argument. While the peripheral route to persuasion is when the audience decides to agree with the argument due to factors outside of it
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Learning from Mass Media Campaigns for HIV/AIDS Prevention Reviews of mass media campaigns have a special interest for me. They demonstrate what can be done‚ and as importantly‚ what cannot be done‚ by relying on a 1P approach. I have talked about the 5% Solution before‚ and noted another review of mass media campaigns for changing health behaviors. This post focuses on the findings from a review of recent campaigns to prevent HIV/AIDS. What is interesting in this report are the comparisons it draws
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Persuasive Communication Theory in Social Psychology: A Historical Perspective Icek Ajzen University of Massachusetts – Amherst From M. J. Manfredo (Ed) (1992). Influencing Human Behavior: Theory and Applications in Recreation and Tourism (pp 1– 27). Champaign‚ IL: Sagamore Publishing. Persuasive Communication Theory Page 1 Few subjects in social psychology have attracted as much interest and attention as persuasive communication. One of the first topics to be systematically investigated‚ persuasion
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processing can bias systematic processing: Effects of source credibility‚ argument ambiguity‚ and task importance on attitude judgment. Journal of Personality and Social Psychology‚ 66‚ 460-472. Petty‚ R. E.‚ Haugtvedt‚ C.P.‚ & Smith‚ S. M. (1995). Elaboration as a determinant of attitude strength: Creating attitudes that are persistent‚ resistant‚‚ and predictive of behavior. In R. E. Petty & J. A. Krosnick (Eds.)‚ Attitude strength: Antecedents and consequences. Hillsdale‚ NJ: Erlbaum.
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P : Point E: Evidence T: Technique E: Elaboration R: Response Point : State the point you are trying to prove eg. the conflict in the extract symbolizes change.... Evidence : Give evidence for the conflict by quoting.. Technique : State Literary Features Elaboration : Develop your point further and give a deeper explanation on your point. Also state the reason for the point that the author was trying to make‚ or the reason for which the literary feature was used. (Why was is used?)
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Idioms are defined as phrases whose individual word meanings are not equal to their total figurative meaning (Swinney & Cutler‚ 1979). As the definition suggests‚ literal processing of the words is not enough for comprehending most of the idioms. Yet for some them‚ it is possible for literal meanings to lead the final figurative meaning. Decomposability refers to the degree of the contribution that words of an idiom make to the overall meaning of an idiom (Gibbs 1993). Non-decomposable idioms are
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• Independent Variables: Dollar‚ Coupon Dollar‚ Deals‚ Demographic Data • Distribution: Gamma (Least -2 Log Likelihood) Max. Coupon Users: Survival Analysis - Average time between purchase of frozen products:100 days Cluster 1 1. Uses the maximum coupon dollarsAverage 40 dollars. 2. Purchase Once a month. - Deal - Coupon Dollars - Income - Male Hrs Analysis of Maximum Likelihood Parameter Estimates Pr > ChiS Pulls in/ Parameter Estimate e^β-1 q Pushes out 0.00150 coup_dol 0.0015 0.0009 0
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effect. We study only two components of the order effect as a special case. The maximum likelihood estimates of the worth parameters are found and the plausibility of the proposed model is checked. Real dataset is collected on five top-ranked one-day-international cricket teams and is used to illustrate the estimation procedure. Keywords: Bradley-Terry model; Goodness of fit; Home advantage; Maximum likelihood (ML) estimates; Paired comparisons; Ranking; Toss-result effect. 1. Introduction In
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Enterprise Risk Management ISSN 1937-7916 2010‚ Vol. 1‚ No. 1: E9 Application of Servqual Model on Measuring Service Quality: A Bayesian Approach Dr. K. Ravichandran‚ Assistant Professor‚ College of Business Administration in Alkharj‚ King Saud University‚ P O Box 165‚ 11942‚ Alkharj‚ Saudi Arabia. Email: varshal2@yahoo.com Dr. S. Prabhakaran‚ Assistant Professor‚ College of Business Administration in Alkharj‚ King Saud University‚ P O Box 165‚ 11942‚ Alkharj‚ Saudi Arabia. Email: jopraba@gmail
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.2.3 Time series models Time series is an ordered sequence of values of a variable at equally spaced time intervals. Time series occur frequently when looking at industrial data. The essential difference between modeling data via time series methods and the other methods is that Time series analysis accounts for the fact that data points taken over time may have an internal structure such as autocorrelation‚ trend or seasonal variation that should be accounted for. A Time-series model explains
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