• #305 (TC4B-1) What You ‘Don’t Know’ About Your Family Might Kill You
  

       Presented by: Jennifer Pearce-Morris, Seung-won Choi, Adriana Reyes, Veronica Roth, Rebekah Young

• #305 (TC4B-2) Does It Go Up or Down? An Investigation of College Hookup Patterns Using Survival Analysis and Logistic Regression

       Presented by: Patricia N.E. Roberson, Spencer B. Olmstead, Frank Fincham

Abstracts

• #305 (TC4B-1) What You ‘Don’t Know’ About Your Family Might Kill You
  

       Presented by: Jennifer Pearce-Morris, Seung-won Choi, Adriana Reyes, Veronica Roth, Rebekah Young

In this paper we analyze “don’t know” responses from five sources of longitudinal data. We ask whether “don’t know” responses are meaningful in family research, and, if so, how evaluating these responses can contribute to the development of theory, to the discovery of novel findings, and to the identification of sensible methods for analyzing these nebulous responses. Using several examples, we found that “don’t know responses” predicted a wide range of outcomes, including death. Our results suggest that this response category may be substantively meaningful in its own right rather than indicating neutral responses or being missing data.

• #305 (TC4B-2) Does It Go Up or Down? An Investigation of College Hookup Patterns Using Survival Analysis and Logistic Regression

       Presented by: Patricia N.E. Roberson, Spencer B. Olmstead, Frank Fincham

Hooking up behaviors among emerging adults in college has received much academic and popular media attention in the past decade. One aspect of hooking up less attended to is the change in frequency of hooking up during the years spent in college. We propose two statistical methods for understanding cross-sectional data of the frequency of hook ups: Logistic regression and survival analysis. In this article we will discuss the benefits and limitations to each of the statistical analyses and the differences in the results from each analysis.