The commentators raised many interesting ideas in response to Armstrong and Pagell (2003), from which one general theme emerges: The commentators claim that management science lacks the incentives to encourage efforts to develop and communicate grounded principles. As a result, academics often...

This study examined certain characteristics of households which responded to a significant change in the credibility of the appeals made on behalf of a brand. The empirical situation was that of the legitimization of Crest's claim of decay prevention by the American Dental Association. A prior...

Eighteen empirical studies from fourteen different researchers provide evidence that prepaid monetary incentives have a strong positive impact on the response rate in mail surveys. One of these studies is described here and an attempt is made to generalize from all eighteen about the...

This review gives a description of the content of Dillman's book. It goes on to describe the flaws not only to alert the reader but also in the hope that Dillman will write a new edition to overcome these problems. He could convert a gold book into an excellent one

Long-Range Forecasting, 2nd. ed, is based heavily on empirical studies and demonstrated many useful forecasting techniques to attain higher levels of accuracy. The book incorporates supportive answers when wondering which forecasting method is best to use in give situations, or the advantages or...

Studies suggest a bias against the publication of null (p > .05) results. Instead of significance, we advocate reporting effect sizes and confidence intervals, and using replication studies. If statistical tests are used, power tests should accompany them

The Markov model showed only slight predictive advantage over the no-change model for short-term forecasting of supermarket choices for a sample of 45 families. While this does not imply a blanket rejection of the Markov technique for forecasting, it is important to recall that this case held to...

This article compares the predictive ability of models developed by two different statistical methods, tree analysis and regression analysis. Each was used in an exploratory study to develop a model to make predictions for a specific marketing situation. In situations where there are large...

The following hypotheses about long-range market forecasting were examined: - Objective methods provide more accuracy than do subjective methods. - The relative advantage of objective over subjective methods increases as the amount of change in the environment increases. - Causal methods provide...

The potential user of a model should not depend entirely upon the model's advocates for an assessment of the model. Rather, he should carry out his own analysis. This article has presented a framework to guide such an analysis. This framework, which is summarized in Table 1, helps to provide a...