Literature DB >> 11818309

The differential effects of face-to-face and computer interview modes.

Jessica Clark Newman1, Don C Des Jarlais, Charles F Turner, Jay Gribble, Phillip Cooley, Denise Paone.   

Abstract

OBJECTIVES: This study assessed the differential effects of face-to-face interviewing and audio-computer assisted self-interviewing (audio-CASI) on categories of questions.
METHODS: Syringe exchange program participants (n = 1417) completed face-to-face interviews or audio-CASI. The questionnaire was categorized into the groups "stigmatized behaviors," "neutral behaviors," and "psychological distress." Interview modes were compared for questions from each category.
RESULTS: Audio-CASI elicited more frequent reporting of "stigmatized behaviors" than face-to-face interviews. Face-to-face interviewing elicited more frequent reporting of "psychological distress" than audio-CASI.
CONCLUSIONS: Responding to potentially sensitive questions should not be seen as merely "providing data," but rather as an activity with complex motivations. These motivations can include maintaining social respect, obtaining social support, and altruism. Ideally, procedures for collecting self-report data would maximize altruistic motivation while accommodating the other motives.

Entities:  

Mesh:

Year:  2002        PMID: 11818309      PMCID: PMC1447060          DOI: 10.2105/ajph.92.2.294

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  9 in total

1.  A comparison of the reliability of self-reported drug use and sexual behaviors using computer-assisted versus face-to-face interviewing.

Authors:  M L Williams; R C Freeman; A M Bowen; Z Zhao; W N Elwood; C Gordon; P Young; R Rusek; C A Signes
Journal:  AIDS Educ Prev       Date:  2000-06

2.  Audio-computer interviewing to measure risk behaviour for HIV among injecting drug users: a quasi-randomised trial.

Authors:  D C Des Jarlais; D Paone; J Milliken; C F Turner; H Miller; J Gribble; Q Shi; H Hagan; S R Friedman
Journal:  Lancet       Date:  1999-05-15       Impact factor: 79.321

3.  Adolescent sexual behavior, drug use, and violence: increased reporting with computer survey technology.

Authors:  C F Turner; L Ku; S M Rogers; L D Lindberg; J H Pleck; F L Sonenstein
Journal:  Science       Date:  1998-05-08       Impact factor: 47.728

4.  Affiliation motivation: people who need people ... but in different ways.

Authors:  C A Hill
Journal:  J Pers Soc Psychol       Date:  1987-05

5.  Comparability of a computer-assisted versus written method for collecting health behavior information from adolescent patients.

Authors:  P M Webb; G D Zimet; J D Fortenberry; M J Blythe
Journal:  J Adolesc Health       Date:  1999-06       Impact factor: 5.012

6.  The impact of T-ACASI interviewing on reported drug use among men who have sex with men.

Authors:  J N Gribble; H G Miller; P C Cooley; J A Catania; L Pollack; C F Turner
Journal:  Subst Use Misuse       Date:  2000 May-Jun       Impact factor: 2.164

Review 7.  Methodological problems in AIDS behavioral research: influences on measurement error and participation bias in studies of sexual behavior.

Authors:  J A Catania; D R Gibson; D D Chitwood; T J Coates
Journal:  Psychol Bull       Date:  1990-11       Impact factor: 17.737

8.  A comparison of computer-based and personal interviews for the gynecologic history update.

Authors:  S Hasley
Journal:  Obstet Gynecol       Date:  1995-04       Impact factor: 7.661

9.  A computer-based interview to identify HIV risk behaviors and to assess patient preferences for HIV-related health states.

Authors:  G D Sanders; D K Owens; N Padian; A B Cardinalli; A N Sullivan; R F Nease
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994
  9 in total
  145 in total

1.  Predicting condom use among STD clinic patients using the Information - Motivation-Behavioral Skills (IMB) model.

Authors:  Lori A J Scott-Sheldon; Michael P Carey; Peter A Vanable; Theresa E Senn; Patricia Coury-Doniger; Marguerite A Urban
Journal:  J Health Psychol       Date:  2010-05-07

2.  Predicting condom use using the Information-Motivation-Behavioral Skills (IMB) model: a multivariate latent growth curve analysis.

Authors:  Jennifer L Walsh; Theresa E Senn; Lori A J Scott-Sheldon; Peter A Vanable; Michael P Carey
Journal:  Ann Behav Med       Date:  2011-10

Review 3.  Self-report measures of medication adherence behavior: recommendations on optimal use.

Authors:  Michael J Stirratt; Jacqueline Dunbar-Jacob; Heidi M Crane; Jane M Simoni; Susan Czajkowski; Marisa E Hilliard; James E Aikens; Christine M Hunter; Dawn I Velligan; Kristen Huntley; Gbenga Ogedegbe; Cynthia S Rand; Eleanor Schron; Wendy J Nilsen
Journal:  Transl Behav Med       Date:  2015-07-09       Impact factor: 3.046

4.  Adolescent reactions to icon-driven response modes in a tablet-based health screening tool.

Authors:  Eitan Blander; Elizabeth M Saewyc
Journal:  Comput Inform Nurs       Date:  2015-05       Impact factor: 1.985

5.  Correlates of sex trading among drug-using men who have sex with men.

Authors:  Peter A Newman; Fen Rhodes; Robert E Weiss
Journal:  Am J Public Health       Date:  2004-11       Impact factor: 9.308

6.  Sexual behavior and drug use among Asian and Latino adolescents: association with immigrant status.

Authors:  Jon M Hussey; Denise D Hallfors; Martha W Waller; Bonita J Iritani; Carolyn T Halpern; Daniel J Bauer
Journal:  J Immigr Minor Health       Date:  2007-04

7.  ACASI and face-to-face interviews yield inconsistent estimates of domestic violence among women in India: The Samata Health Study 2005-2009.

Authors:  Sujit D Rathod; Alexandra M Minnis; Kalyani Subbiah; Suneeta Krishnan
Journal:  J Interpers Violence       Date:  2011-01-30

8.  The role of beliefs in sexual behavior of adolescents: Development and validation of an Adolescent Sexual Expectancies Scale (ASEXS).

Authors:  Beth Bourdeau; Joel W Grube; Melina M Bersamin; Deborah A Fisher
Journal:  J Res Adolesc       Date:  2011-09-01

9.  Increased detection of alcohol consumption and at-risk drinking with computerized alcohol screening.

Authors:  Shahram Lotfipour; James Howard; Samer Roumani; Wirachin Hoonpongsimanont; Bharath Chakravarthy; Craig L Anderson; Jie W Weiss; Victor Cisneros; Brad Dykzeul
Journal:  J Emerg Med       Date:  2013-01-12       Impact factor: 1.484

10.  Computerized versus in-person brief intervention for drug misuse: a randomized clinical trial.

Authors:  Robert P Schwartz; Jan Gryczynski; Shannon Gwin Mitchell; Arturo Gonzales; Ana Moseley; Thomas R Peterson; Steven J Ondersma; Kevin E O'Grady
Journal:  Addiction       Date:  2014-03-10       Impact factor: 6.526

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