Analyzing "Beeper" Data: Statistical Considerations for Experience Sampling Studies
Keywords:Research Methodology, Experience Sampling Method, Statistics
A growing belief in the subjective nature of leisure has initiated interest in alternative research methodologies which can tap subjiective dimensions more effectively than traditional survey designs. One new technique, called the experience sampling method (ESM), offers a promising compromise between quantitative survey research and in situ interpretive analyses. There has been a growing interest in ESM as a technique for leisure research, with application to therapeutic recreation programming. However, the multi-stage cluster sampling design of this method raises some important concerns for data analysis. This paper discusses some characteristics of ESM data, and illustrates how the clustered nature of the data affects several different types of statistical analyses.
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