Most time-series research fails to consider measurement issues that are addressed regularly in cross-sectional research designs. However, to measure specified constructs in time-series research, scales may be developed whose reliability and validity may be assessed as rigorously as in cross-sectional research. The authors describe and illustrate a procedure for developing time-series measures using Box-Jenkins ARIMA modeling techniques in an investigation of the effects of national advertising on consumption.
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