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Testing the Hierarchies of Effects [microform] : A Path Analytic Approach / John V. Pavlik and Alex Stroker
Bib ID 5426752
Format BookBook, MicroformMicroform, OnlineOnline
Author
Pavlik, John V
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1983 
14 p. 
Summary

Traditional information processing (or high-involvement) models hold that cognitive change leads to attitude change which leads to behavior change. It has been suggested, however, that in many advertising situations, cognitive change can lead directly to behavior change, and that for many products advertising is a "low involvement" situation. In other words, a person need not like a product before he or she purchases it. A study used path analysis to compare the adequacy or ability of both the high- and the low-involvement models to predict advertising effectiveness for a pizza delivery service among a population of college students. Data were gathered from a random sample of 250 students living in undergraduate dormitories. Variables analyzed were (1) advertising exposure, (2) brand awareness, (3) brand knowledge, (4) attitude toward brand, and (5) brand purchasing behavior. Results indicated that for certain paths--the direct effects of exposure on cognitive and affective change, in particular--both high and low models of involvement provided a fairly good fit to the data. However, when the indirect effects were considered, the low-involvement model apparently provided a much better fit to the data. This was especially apparent when the total effects of product advertising were considered. (FL)

Notes

ERIC Note: Paper presented at the Annual Meeting of the Association for Education in Journalism and Mass Communication (66th, Corvallis, OR, August 6-9, 1983).

Educational level discussed: Higher Education.

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Advertising.  |  Behavior Change.  |  College Students.  |  Consumer Economics.  |  Goodness of Fit.  |  Higher Education.  |  Participation.  |  Path Analysis.  |  Predictive Validity.  |  Research Methodology.  |  Advertising Effectiveness
Form/genre Reports, Research.  |  Speeches/Meeting Papers.
Other authors/contributors Stroker, Alex, author
Available From ERIC 
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035 |9(ericd)ED230936
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100 1 |aPavlik, John V.
245 1 0 |aTesting the Hierarchies of Effects|h[microform] :|bA Path Analytic Approach /|cJohn V. Pavlik and Alex Stroker.
260 |a[Washington, D.C.] :|bDistributed by ERIC Clearinghouse,|c1983.
300 |a14 p.
500 |aERIC Note: Paper presented at the Annual Meeting of the Association for Education in Journalism and Mass Communication (66th, Corvallis, OR, August 6-9, 1983).|5ericd
500 |aEducational level discussed: Higher Education.
520 |aTraditional information processing (or high-involvement) models hold that cognitive change leads to attitude change which leads to behavior change. It has been suggested, however, that in many advertising situations, cognitive change can lead directly to behavior change, and that for many products advertising is a "low involvement" situation. In other words, a person need not like a product before he or she purchases it. A study used path analysis to compare the adequacy or ability of both the high- and the low-involvement models to predict advertising effectiveness for a pizza delivery service among a population of college students. Data were gathered from a random sample of 250 students living in undergraduate dormitories. Variables analyzed were (1) advertising exposure, (2) brand awareness, (3) brand knowledge, (4) attitude toward brand, and (5) brand purchasing behavior. Results indicated that for certain paths--the direct effects of exposure on cognitive and affective change, in particular--both high and low models of involvement provided a fairly good fit to the data. However, when the indirect effects were considered, the low-involvement model apparently provided a much better fit to the data. This was especially apparent when the total effects of product advertising were considered. (FL)
533 |aMicrofiche.|b[Washington D.C.]:|cERIC Clearinghouse|emicrofiches : positive.
650 1 7 |aAdvertising.|2ericd
650 1 7 |aBehavior Change.|2ericd
650 0 7 |aCollege Students.|2ericd
650 0 7 |aConsumer Economics.|2ericd
650 0 7 |aGoodness of Fit.|2ericd
650 0 7 |aHigher Education.|2ericd
650 0 7 |aParticipation.|2ericd
650 1 7 |aPath Analysis.|2ericd
650 1 7 |aPredictive Validity.|2ericd
650 1 7 |aResearch Methodology.|2ericd
653 1 |aAdvertising Effectiveness
655 7 |aReports, Research.|2ericd
655 7 |aSpeeches/Meeting Papers.|2ericd
700 1 |aStroker, Alex,|eauthor.
856 4 1 |uhttp://www.eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED230936
984 |aANL|cmc 2253 ED230936|d77000000237035
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Members of Aboriginal, Torres Strait Islander and Maori communities are advised that this catalogue contains names and images of deceased people. All users of the catalogue should also be aware that certain words, terms or descriptions may be culturally sensitive and may be considered inappropriate today, but may have reflected the author's/creator's attitude or that of the period in which they were written.