The Impact of “No Opinion” Response Options on Data Quality

Krosnick, Jon A.; Holbrook, Allyson; Berent, Matthew K.; Carson, Richard T.; Hanemann, W. Michael; Kopp, Raymond J.; Mitchell, Robert Cameron; Presser, Stanley; Ruud, Paul A.; Smith, V. Kerry; Moody, Wendy R.; Green, Melanie C.; Conaway, Michael B.

doi:10.1086/341394

Cited by 387 publications

(102 citation statements)

References 52 publications

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“…In either situation, respondents may use a variety of decision heuristics when responding. Three factors are considered to influence the likelihood of satisficing: respondent ability, respondent motivation and task difficulty [18,30]. Krosnick defines respondent ability (or cognitive sophistication) as the ability to retrieve information from memory and integrate it into verbally expressed judgements [18].…”

Section: Discussionmentioning

confidence: 99%

Applying an extended theoretical framework for data collection mode to health services research

Robling

Ingledew

Greene

et al. 2010

BMC Health Serv Res

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BackgroundOver the last 30 years options for collecting self-reported data in health surveys and questionnaires have increased with technological advances. However, mode of data collection such as face-to-face interview or telephone interview can affect how individuals respond to questionnaires. This paper adapts a framework for understanding mode effects on response quality and applies it to a health research context.DiscussionData collection modes are distinguished by key features (whether the survey is self- or interviewer-administered, whether or not it is conducted by telephone, whether or not it is computerised, whether it is presented visually or aurally). Psychological appraisal of the survey request will initially entail factors such as the cognitive burden upon the respondent as well as more general considerations about participation. Subsequent psychological response processes will further determine how features of the data collection mode impact upon the quality of response provided. Additional antecedent factors which may further interact with the response generation process are also discussed. These include features of the construct being measured such as sensitivity, and of the respondent themselves (e.g. their socio-demographic characteristics). How features of this framework relate to health research is illustrated by example.SummaryMode features can affect response quality. Much existing evidence has a broad social sciences research base but is of importance to health research. Approaches to managing mode feature effects are discussed. Greater consideration must be given to how features of different data collection approaches affect response from participants in studies. Study reports should better clarify such features rather than rely upon global descriptions of data collection mode.

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Section: Discussionmentioning

confidence: 99%

Applying an extended theoretical framework for data collection mode to health services research

Robling

Ingledew

Greene

et al. 2010

BMC Health Serv Res

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show abstract

“…The response formats were a six-point response scale from "not agree at all" to "fully agree", multiple choice or free text. The forced six-point response scale was chosen over a five-point scale to avoid problems with less informative data and difficulties in interpretation of results, due to a considerable amount of answers in the midpoint response category [9]. A web based application for electronic surveys was employed [10].…”

Section: Methodsmentioning

confidence: 99%

Physicians' attitudes towards ePrescribing – evaluation of a Swedish full-scale implementation

Hellström

Waern

Montelius³

et al. 2009

BMC Med Inform Decis Mak

100

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BackgroundThe penetration rate of Electronic Health Record (EHR) systems in health care is increasing. However, many different EHR-systems are used with varying ePrescription designs and functionalities. The aim of the present study was to evaluate experienced ePrescribers' attitudes towards ePrescribing for suggesting improvements.MethodsPhysicians (n = 431) from seven out of the 21 Swedish health care regions, using one of the six most widely implemented EHR-systems with integrated electronic prescribing modules, were recruited from primary care centers and hospital clinics of internal medicine, orthopaedics and surgery. The physicians received a web survey that comprised eight questions on background data and 19 items covering attitudes towards ePrescribing. Forty-two percent (n = 199) of the physicians answered the questionnaire; 90% (n = 180) of the respondents met the inclusion criteria and were included in the final analysis.ResultsA majority of the respondents regarded their EHR-system easy to use in general (81%), and for the prescribing of drugs (88%). Most respondents believed they were able to provide the patients better service by ePrescribing (92%), and regarded ePrescriptions to be time saving (91%) and to be safer (83%), compared to handwritten prescriptions. Some of the most frequently reported weaknesses were: not clearly displayed price of drugs (43%), complicated drug choice (21%), and the perception that it was possible to handle more than one patient at a time when ePrescribing (13%). Moreover, 62% reported a lack of receipt from the pharmacy after successful transmission of an ePrescription. Although a majority (73%) of the physicians reported that they were always or often checking the ePrescription a last time before transmitting, 25% declared that they were seldom or never doing a last check. The respondents suggested a number of improvements, among others, to simplify the drug choice and the cancellation of ePrescriptions.ConclusionThe Swedish physicians in the group studied were generally satisfied with their specific EHR-system and with ePrescribing as such. However, identified weaknesses warrant improvements of the EHR-systems as well as of their implementation in the individual health care organisation.

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“…Similarly to previous research conducted using Likert-type scales, all neutral responses were removed from analyses. Conducting analyses with neutral responses included did not materially alter the results (Krosnick et al, 2002). …”

Section: Design and Subjectsmentioning

confidence: 99%

Association of Acculturation Status With Beliefs, Barriers, and Perceptions Related to Cardiovascular Disease Prevention Among Racial and Ethnic Minorities

2009

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Acculturation has been correlated with traditional cardiovascular disease risk factors. The purpose of this study was to examine the association between acculturation and health beliefs, barriers, and perceptions related to cardiovascular disease prevention. Racial/ethnic minority participants in the Family Intervention Trial for Heart Health were included in this analysis. Less acculturated minorities were more likely to have health beliefs that may impede prevention, have greater perceived susceptibility to disease, and believe in an external locus of control. Evaluating acculturation in clinical practice may be an opportunity to promote awareness, healthy behaviors, and prevention among immigrants.

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The Impact of “No Opinion” Response Options on Data Quality

Cited by 387 publications

References 52 publications

Applying an extended theoretical framework for data collection mode to health services research

Applying an extended theoretical framework for data collection mode to health services research

Physicians' attitudes towards ePrescribing – evaluation of a Swedish full-scale implementation

Association of Acculturation Status With Beliefs, Barriers, and Perceptions Related to Cardiovascular Disease Prevention Among Racial and Ethnic Minorities

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