Secondary data rarely fit perfectly the researcher's particular problem. The most important reason for the lack of fit is(are):
A) out-of-date statistics, differences in units of measurement, differences in class boundaries.
B) differences in units of measurement, theories of measurement, and class boundaries.
C) differences in evaluations of what is important.
D) the volume of data provided is too large.
E) differences in collection method and research design.

Question

Quizplus · Accepted Answer

The lack of fit in secondary data is mainly because of out-of-date statistics, differences in units of measurement, and differences in class boundaries. These factors can affect the accuracy of the data and make it challenging for the researcher to use it for their specific problem. Other options may also affect the fit of the data to some extent, but A is the most relevant and significant factor.

Secondary Data Rarely Fit Perfectly the Researcher's Particular Problem