A Paradigm for Studying the Accuracy of Self‐Reports of Risk Behavior Relevant to AIDS: Empirical Perspectives on Stability, Recall Bias, and Transitory Influences

Jaccard, James; Wan, Chun

doi:10.1111/j.1559-1816.1995.tb01820.x

Cited by 89 publications

(67 citation statements)

References 48 publications

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“…Although the reliability of self-reports of sexual behavior has been established by the use of interpartner reports (Coates et al, 1986;Jaccard & Wan-Choi, 1995;McLaws, Oldenburg, Ross, & Cooper, 1990) and infection rates (CDC, 1997;Winkelstein et al, 1987), the accuracy of self-reports varies largely with the population and the behavior. For example, if groups have particularly high alcohol or drug consumption rates, reports by their members could be less reliable than reports by other persons.…”

Section: Limitations Of the Present Meta-analysismentioning

confidence: 99%

A Test of Major Assumptions About Behavior Change: A Comprehensive Look at the Effects of Passive and Active HIV-Prevention Interventions Since the Beginning of the Epidemic.

Albarracín¹,

Gillette²,

Earl³

et al. 2005

Psychological Bulletin

681

644

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This meta-analysis tested the major theoretical assumptions about behavior change by examining the outcomes and mediating mechanisms of different preventive strategies in a sample of 354 HIVprevention interventions and 99 control groups, spanning the past 17 years. There were 2 main conclusions from this extensive review. First, the most effective interventions were those that contained attitudinal arguments, educational information, behavioral skills arguments, and behavioral skills training, whereas the least effective ones were those that attempted to induce fear of HIV. Second, the impact of the interventions and the different strategies behind them was contingent on the gender, age, ethnicity, risk group, and past condom use of the target audience in ways that illuminate the direction of future preventive efforts. Keywords behavior change; active intervention; HIV; health; communicationThe development of effective health behavior interventions and adequate understanding of the processes that underlie change to risky behavior continues to top the agenda for reducing disease and death among at-risk populations. For example, infection with HIV has been diagnosed in almost 1 million people in the United States (Centers for Disease Control [CDC], 2003) as well as an estimated 40 million worldwide (UNAIDS/ WHO Working Group, 2002). In some countries, the epidemic continues to escalate, and even in nations that have successfully Copyright 2005 by the American Psychological AssociationCorrespondence concerning this article should be addressed to Dolores Albarracín, Department of Psychology, University of Florida, Gainesville, FL 32611. E-mail: E-mail: dalbarra@ufl.edu. NIH Public Access NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscript curbed the spread of the disease, certain groups still show increases in infection rates (see, e.g., CDC, 2003). Given these distressing figures, it is no surprise that research on HIV prevention has become increasingly important and progressively more sophisticated. Indeed, HIV prevention presently constitutes one of the most significant paradigms for the discovery of health behavior change techniques and for the understanding of the theoretical processes that underlie such change.In fact, the HIV epidemic of the 1980s stimulated the uniting of funds and expertise from various disciplines in the development of a shared behavior-change paradigm. As a key example, in 1992, a group of behavioral researchers joined forces-upon request from the National Institutes of Health-to develop a paradigm for behavior change that would guide research and practice in the prevention of HIV (see Fishbein et al., 1992). Various models were examined, and the key assumptions were condensed into a limited number of premises that illuminated preventive efforts.Although the various models had independently received broad support, this support was derived almost entirely from behavior prediction studies. However, the formulation of these general assumptions contributed to...

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Section: Limitations Of the Present Meta-analysismentioning

confidence: 99%

A Test of Major Assumptions About Behavior Change: A Comprehensive Look at the Effects of Passive and Active HIV-Prevention Interventions Since the Beginning of the Epidemic.

Albarracín¹,

Gillette²,

Earl³

et al. 2005

Psychological Bulletin

681

644

View full text Add to dashboard Cite

show abstract

“…The reliability of self-reports of sexual behavior has been established by the use of interpartner reports (Coates et al, 1986;Jaccard & Wan-Choi, 1995;McLaws, Oldenburg, Ross, & Cooper, 1990) and infection rates (CDC Community Demonstration Projects Research Group, 1997;Winkelstein et al, 1987). However, the accuracy of self-reports varies largely with the population and the behavior.…”

Section: Limitations Of the Present Meta-analysismentioning

confidence: 99%

Who participates in which health promotion programs? A meta-analysis of motivations underlying enrollment and retention in HIV-prevention interventions.

Noguchi

Albarracín

Durantini

et al. 2007

Psychological Bulletin

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This meta-analysis examines whether exposure to HIV-prevention interventions follows selfvalidation or risk-reduction motives. The dependent measures used in the study were enrolling in an HIV-prevention program and completing the program. Results indicated that first samples with low prior condom use were less likely to enroll than samples with high prior condom use. Second, samples with high knowledge were less likely to stay in an intervention than were those with low knowledge. Third, samples with medium levels of motivation to use condoms and condom use were more likely to complete an intervention than were those with low or high levels. Importantly, those patterns were sensitive to the interventions' inclusions of information-, motivation-, and behavioral-skills strategies. The influence of characteristics of participants, the intervention, and the recruit procedure are reported. KeywordsHIV prevention; behavioral interventions; retention; recruitment; attitudes The need to develop behavioral interventions to reduce infection with HIV and other sexually transmitted infections (Centers for Disease Control [CDC], 2005) has resulted in many evidence-based interventions that attempt to increase HIV-relevant knowledge, motivation, and behavioral skills (J. D. Fisher & Fisher, 1992). Although these programs have been shown to be efficacious in meta-analytic syntheses and multisite trials (e.g., Albarracín et al., 2005;Albarracín et al., 2003; B. T. Johnson, Carey, Marsh, Levin, & Scott-Sheldon, 2003; Kim, Stanton, Li, Dickersin, & Galbraith, 1997;Mize, Robinson, Bockting, & Scheltema, 2002;Prendergast, Urada, & Podus, 2001), there is a surprising lack of understanding of the programs' outreach. However, it is important to determine if the programs reach and retain audiences that lack appropriate knowledge, motivation, and behavioral practice, and if specific aspects of these programs increase outreach and retention.Correspondence concerning this article should be addressed to Kenji Noguchi or Dolores Albarracín, Department of Psychology, University of Florida, Gainesville, FL 32611. knoguchi@ufl.edu or dalbarra@ufl.edu. HHS Public Access Author Manuscript Author ManuscriptAuthor Manuscript Author ManuscriptThe limitations in our knowledge about outreach may be due in part to the researchers' needs to test programs under conditions that increase participation and reduce attrition. In doing so, researchers provide strong incentives for participation and perceive low retention as a serious threat to be minimized. Despite the value of these practices to assess intervention efficacy, an informed take on outreach requires understanding natural variability in intervention acceptance and retention rather than conceptualizing attrition as a rate that must be constant and low. For this reason, we meta-analyzed the HIV-prevention intervention literature with a focus on variations in the sample sizes within included studies. From sample sizes at different study points, acceptance and retention rates were calculate...

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“…Additionally, participants asked to recall behaviors over longer time periods may rely on a memory strategy such as "guestimation" of average number of dates per week they have with a specific partner. However, participants may use a process to recall specific even-by-event behaviors for shorter term or infrequent recall thus leading to increased error in the short term recalls (Jaccard and Wan, 1995).…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Audio Computer-Assisted Self-Interviewing (ACASI) and Self-Administered Questionnaires for the Assessment of Sexual Behavior

2006

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This study examined the accuracy of two retrospective methods and assessment intervals for recall of sexual behavior and assessed predictors of recall accuracy. Using a 2 [mode: audio-computer assisted self-interview (ACASI) vs. self-administered questionnaire (SAQ)] by 2 (frequency: monthly vs. quarterly) design, young women (N = 102) were randomly assigned to one of four conditions. Participants completed baseline measures, monitored their behavior with a daily diary, and returned monthly (or quarterly) for assessments. A mixed pattern of accuracy between the four assessment methods was identified. Monthly assessments yielded more accurate recall for protected and unprotected vaginal sex but quarterly assessments yielded more accurate recall for unprotected oral sex. Mode differences were not strong, and hypothesized predictors of accuracy tended not to be associated with recall accuracy. Choice of assessment mode and frequency should be based upon the research question(s), population, resources, and context in which data collection will occur.

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A Paradigm for Studying the Accuracy of Self‐Reports of Risk Behavior Relevant to AIDS: Empirical Perspectives on Stability, Recall Bias, and Transitory Influences

Cited by 89 publications

References 48 publications

A Test of Major Assumptions About Behavior Change: A Comprehensive Look at the Effects of Passive and Active HIV-Prevention Interventions Since the Beginning of the Epidemic.

A Test of Major Assumptions About Behavior Change: A Comprehensive Look at the Effects of Passive and Active HIV-Prevention Interventions Since the Beginning of the Epidemic.

Who participates in which health promotion programs? A meta-analysis of motivations underlying enrollment and retention in HIV-prevention interventions.

Accuracy of Audio Computer-Assisted Self-Interviewing (ACASI) and Self-Administered Questionnaires for the Assessment of Sexual Behavior

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