Elsevier

Social Science Research

Volume 40, Issue 4, July 2011, Pages 1025-1036
Social Science Research

Are interactional behaviors exhibited when the self-reported health question is asked associated with health status?

https://doi.org/10.1016/j.ssresearch.2011.04.002Get rights and content

Abstract

The self-reported health question summarizes information about health status across several domains of health and is widely used to measure health because it predicts mortality well. We examine whether interactional behaviors produced by respondents and interviewers during the self-reported health question–answer sequence reflect complexities in the respondent’s health history. We observed more problematic interactional behaviors during question–answer sequences in which respondents reported worse health. Furthermore, these behaviors were more likely to occur when there were inconsistencies in the respondent’s health history, even after controlling for the respondent’s answer to the self-reported health question, cognitive ability, and sociodemographic characteristics. We also found that among respondents who reported “excellent” health, and to a lesser extent among those who reported their health was “very good,” problematic interactional behaviors were associated with health inconsistencies. Overall, we find evidence that the interactional behaviors exhibited during the question–answer sequence are associated with the respondent’s health status.

Introduction

The self-reported health question – e.g., “Would you say your health in general is excellent, very good, good, fair, or poor?” – summarizes information about health across several domains and is widely used to measure health status because of its ability to predict morbidity and mortality (Idler and Benyamini, 1997). Researchers have demonstrated that self-reported health is related to multiple domains of health including illnesses, symptoms of undiagnosed diseases, judgments about the severity of illness, family history, dynamic health trajectory, health behaviors, and the presence or absence of resources for good health (Idler and Benyamini, 1997). In sum, “a very long list of variables is required to explain the effect of one brief 4- or 5-point scale item…” (Idler and Benyamini, 1997, p. 31). We seek to demonstrate that there is additional health information to be gleaned from the self-reported health question; in particular, that information from the interviewer–respondent interaction during the self-reported health question–answer sequence may capture information about respondents’ health status beyond that provided solely by their answer to the self-reported health question.

Section snippets

Dimensions of health associated with the self-reported health question

Two broad sets of studies have investigated the dimensions of health respondents consider when they answer the self-reported health question. First are studies that investigate the associations between self-reported health and other measures of health to determine which of the measures are more strongly associated with self-reported health. An inference is then made that the measures that are more strongly associated with self-reported health were weighed more heavily by respondents when

Research hypotheses

We examine a subset of interactional behaviors produced when interviewers administer and respondents answer the self-reported health question. We select behaviors previously identified as indicating potential problems in the response process, which we refer to as problematic interactional behaviors. These behaviors include: tokens (such as “uh”), expressions of uncertainty, and long response latencies produced by respondents; pre-emptive and follow-up behaviors by interviewers; and

Sample selection

Data for this study are provided by the 2004 telephone administration of the Wisconsin Longitudinal Study (WLS), a longitudinal study of 10,317 randomly selected respondents who graduated from Wisconsin high schools in 1957. While the WLS sample is homogenous with respect to race (white), region (grew up in Wisconsin), and education (high school graduate and above), the strength of the study lies in the variety and depth of topics measured at several points across the life course, such as

Interactional behaviors by self-reported health

First we investigate whether the interactional behaviors that occur during the self-reported health question–answer sequence vary by the answer given. Because the answer to the self-reported health question and the behaviors are co-produced, we expect that the behaviors that accompany answers to the self-reported health question will vary by the answer given. Specifically, we predict that there will be more problematic interactional behaviors when respondents report worse health.

Fig. 2 shows

Discussion

Answers to the self-reported health question and the interactional behaviors we examined are co-produced. We expected and found more problematic interactional behaviors when respondents reported worse self-reported health. Furthermore, these behaviors appear to be related to a measure of health inconsistency, in that the interactional behaviors were more likely to occur when respondents had health inconsistencies, even after controlling for potential confounders. This finding indicates that the

Acknowledgments

An earlier version of this paper was presented at the 2010 annual meeting of the American Association for Public Opinion Research, Chicago, IL. The research reported here was supported in part by the National Institute of Child Health and Human Development (Center Grant R24 HD047873 and Training Grant T32 HD007014) and by the National Institute on Aging (Center Grant P30 AG017266 and the Wisconsin Longitudinal Study: Tracking the Life Course P01 AG021079). This research uses data from the

References (37)

  • Yael Benyamini et al.

    Elderly people’s ratings of the importance of health-related factors to their self-assessments of health

    Social Science & Medicine

    (2003)
  • Yael Benyamini et al.

    Self-assessments of health: what do people know that predicts their mortality?

    Research on Aging

    (1999)
  • Yael Benyamini et al.

    Positive affect and function as influences on self-assessments of health expanding our view beyond illness and disability

    Journals of Gerontology Series B: Psychological Sciences and Social Sciences

    (2000)
  • Yael Benyamini et al.

    Gender differences in processing information for making self-assessments of health

    Psychosomatic Medicine

    (2000)
  • Heather Bortfeld et al.

    Disfluency rates in conversation: effects of age, relationship, topic, role, and gender

    Language and Speech

    (2001)
  • Canfield, Beth, Miller, Kristen, Beatty, Paul,Whitaker, Karen, Calvillo, Alfredo,Wilson, Barbara, 2003. Adult Questions...
  • Jacob Cohen

    A coefficient of agreement for nominal scales

    Educational and Psychological Measurement

    (1960)
  • Draisma, Stasja, Dijkstra, Wil, 2004. Response latency and (para) linguistic expressions as indicators of response...
  • Jennifer Dykema et al.

    The effect of interviewer and respondent behavior on data quality: analysis of interaction coding in a validation study

  • Patrick Ehlen et al.

    Modeling speech disfluency to predict conceptual misalignment in speech survey interfaces

    Discourse Processes

    (2007)
  • Joseph L. Fleiss

    Statistical Methods for Rates and Proportions

    (1981)
  • Floyd J. Fowler et al.

    Using behavioral coding to identify cognitive problems with survey questions

  • Groves, Robert M., 1996. How do we know what we think they think is really what they think? In: Schwarz, Norbert,...
  • Robert M. Groves et al.

    Direct questioning about comprehension in a survey setting

  • Robert M. Hauser

    Survey response in the long run: the Wisconsin Longitudinal Study

    Field Methods

    (2005)
  • Robert M. Hauser

    The Wisconsin Longitudinal Study: designing a study of the life course

  • Jennifer Hess et al.

    Predicting test-retest reliability from behavior coding

    International Journal of Public Opinion Research

    (1999)
  • Allyson Holbrook et al.

    The impact of question and respondent characteristics on comprehension and mapping difficulties

    Public Opinion Quarterly

    (2006)
  • Cited by (0)

    View full text