The conceptual implications of data centering in interactive regression models

Article Abstract:

The suggestion that a mean centering approach can effectively overcome the problem of arbitrary scales and standardizing the interpretation of main and interactive effects in multiplicative regression models is evaluated. Scale dependence and multicollinearity are discussed, and the behavior of interaction under mean centering and non-mean centering conditions is examined. A simple example is used to show that the mean centering approach can lead to biased interpretations of main effects.

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Finding out more from box office data

Article Abstract:

Computerized box office systems must be able to come up with standard report and analysis formats of patron data. System suppliers can assist market researchers in determining the data that will be useful in market analysis. Surveys and mailing list preference questionnaires can only provide limited information. With computerized box office systems, arts marketeers can be sure that the patron data that they are using are more reliable and more precise.

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The effect of computer-assisted interviewing on data quality. A review

Article Abstract:

A study is conducted to determine the effect of computer-assisted interviewing on quality of data. Results show that this data collection method is acceptable to both respondents and interviews. Moreover, quality of data improves if computer-assisted interviewing is used. However, it is found that the potential of this technique has not been fully exploited.

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