Analytic methods encompass the concepts and techniques used in analyzing data and interpreting and reporting results. The goal of new and improved analytic methods is to improve estimation, hypothesis testing, and causal modeling based on scientific data. Challenges include developing techniques that distinguish underlying regularities from the noise created by variability and imprecise measurement; developing causal inferences from non-experimental data; improving both the internal validity and external validity (generalizability) of measures and studies; and developing appropriate analytic techniques for use with new kinds of data and new approaches to behavioral and social science research, and meaningful integration of behavioral and social science data with those obtained from the biological, physical, computational sciences or engineering. Examples of topics within analytic methods include, but are not limited to the following:
Thiscontrasts with quantitative studies, in which the researcher is testinghypotheses and trying to determine the significance between scores forexperimental and control groups or the relationships between variable x andvariable y.
.HYPOTHESIS • Major characteristics of good hypothesis.
During 2001, most U.S. taxpayers were mailed a Federal tax rebate in a randomly assigned weekbetween July and September. Using special questions added to the Consumer ExpenditureSurvey, we use this historically unique experiment to measure the change in consumptionexpenditures caused by receipt of the rebate and to test the Permanent Income Hypothesis andrelated models. Households spent about 20-40 percent of their rebates on non-durable goodsduring the three-month period in which they received their rebates, and roughly two-thirds oftheir rebates cumulatively during the quarter of receipt and subsequent three-month period. Theimplied effects on aggregate consumption demand are substantial. Responses are larger forhouseholds with low liquid wealth or low income, consistent with liquidity constraints. (, ; [NBER Digest], [from Congressional Budget Office])