Purchase Intentions and Purchase Behavior
Journal of MarketingPublished 1 March 1979
Donald G. Morrison
Citations346
SJR quartileQ1
SJR score13.39
SNIP5.22
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
This paper provides a framework for collecting, analyzing, and interpreting purchase intentions data.
Keywords
Decision SciencesEconomics, Econometrics and FinanceBusiness, Management and Accounting
American Educational Research JournalStatistical Theories of Mental Test Scores
8,138 Citations1969William W. Rozeboom, Frederic M. Lord +2 more
Journal of Marketing ResearchPre-Test-Market Evaluation of New Packaged Goods: A Model and Measurement Methodology
423 Citations1978Alvin J. Silk, Glen L. Urban
Journal of the American Statistical AssociationConsumer Buying Intentions and Purchase Probability: An Experiment in Survey Design
399 Citations1966F. Thomas Juster
Systems Research and Behavioral ScienceAn experimental study of relationships between attitudes, brand preference, and choice
183 Citations1972Frank M. Bass, Edgar A. Pessemier +1 more
Management ScienceA Parsimonious Description of the Hendry System
174 Citations1977Manohar U. Kalwani, Donald G. Morrison
The notion of partitioning is developed which constitutes a major component of the Hendry System and the results claimed in the HendroDynamics Chapters are derived from two simple probabilistic assumptions; namely, zero order consumers and switching proportional to market share.
PsychometrikaA Theoretical Distribution for Mental Test Scores
131 Citations1962J. A. Keats, Frederic M. Lord
Journal of the American Statistical AssociationUpper Bounds for Correlations between Binary Outcomes and Probabilistic Predictions
95 Citations1972Donald G. Morrison
It is shown that a correlation between the 0, 1 binary outcomes and the prediction probabilities can yield meaningful results and the upper bound for the resulting R2 turns out to be a surprisingly simple expression for a class of situations which contain a quite general assumption on the distribution of the predictions probabilities.
Journal of Marketing ResearchMarket Segmentation Based on Consumer Ratings of Proposed Product Designs
59 Citations1978Murphy A. Sewall
Journal of the American Statistical AssociationAn Empirical Bayes Approach to Scoring Multiple-Choice Tests in the Misinformation Model
29 Citations1974George T. Duncan
PsychometrikaAn Interval Estimate for making Statistical Inferences about True Scores
14 Citations1976Frederic M. Lord, Martha L. Stocking
Journal of Marketing ResearchReliability of Tests: A Technique Using the “Regression to the Mean” Fallacy
7 Citations1973Donald G. Morrison
Journal of the American Statistical AssociationStochastic Interpretation of 2×2 Classification Tables
1 Citations1977Neil E. Beckwith, Donald G. Morrison