The Effect of Interviewer Experience, Attitudes, Personality and Skills on Respondent Co-operation with Face-to-Face Surveys

Jäckle, Annette; Lynn, Peter; Sinibaldi, Jennifer; Tipping, Sarah

doi:10.18148/srm/2013.v7i1.4736

Cited by 15 publications

(4 citation statements)

References 6 publications

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“…Because the study was based on secondary data, the analyses probably missed many interviewer and respondent characteristics related to RS that have not been measured in the ESS, such as personality (Hibbing et al 2017), interview style (Dijkstra 1987) and experience (Jäckle et al 2013). The number of interviewer observation variables was also limited, and many of them were constructed based on one item only and thus were prone to bias (Życzyńska-Ciołek and Kołczyńska 2020) and lack of reliability (Jacobs et al 2020;Ren et al 2022).…”

Section: Limitationsmentioning

confidence: 99%

What can Interviewer-Collected Paradata Tell About Measurement Quality in Face-to-Face Surveys? Analyzing Response Styles in six Rounds of the European Social Survey

Muszyński¹,

Jabkowski²

2023

Preprint

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Response styles, defined as choosing certain response options on a basis other than the content of a question can seriously threaten the validity of survey data. Although response styles are present in both face-to-face and self-completion surveys, they have been far more researched in the latter mode of data collection. Our study aimed to investigate the presence of response styles and their correlates in face-to-face surveys based on a large dataset of the European Social Survey (2002-2018). We identified main response styles covariates, concentrating on interviewer-collected survey paradata describing respondent characteristics and interview context. Our results pointed to a non-negligible role of respondent-interviewer gender and age matching and for the presence of response styles. Much lower effects were obtained regarding interviewer observations on respondents’ levels of cooperation before and during an interview. We concluded with recommendations for using interviewer-collected paradata and further studies on response styles in face-to-face surveys.

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Section: Limitationsmentioning

confidence: 99%

What can Interviewer-Collected Paradata Tell About Measurement Quality in Face-to-Face Surveys? Analyzing Response Styles in six Rounds of the European Social Survey

Muszyński¹,

Jabkowski²

2023

Preprint

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“…In any survey method where surveyors are personally approaching potential respondents, there are increased possibilities in verbally persuading reluctant respondents when staff is specifically trained (Dijkstra and Smit 2002;Ongena and Haan 2016), which can increase response rates (Bowling 2005). Nonetheless, surveyors may differ in their impact on the representativeness of the achieved sample (e.g., Blom et al 2011;Jäckle et al 2013;Durrant et al 2010). Due to the fact that WR surveys are relatively small-scale, experiments on surveyor behavior can easily be conducted (see Ongena et al 2021).…”

Section: Staff Requirementsmentioning

confidence: 99%

Just you wait… and fill out this survey. Discussion of the methodological aspects of waiting room surveys

Ongena

Haan

2022

Health Serv Outcomes Res Method

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A method commonly used in health care research is the waiting room (WR) survey. While patients are waiting for their appointment, they are asked to complete a questionnaire measuring their attitudes, behaviors and other characteristics. In this paper we synthesize practical guidelines for WR surveys by comparing the method with two similar approaches: public intercept (PI) surveys and drop-off-pick-up (DOPU) surveys. In this comparison we use the Total Survey Error approach Groves (Survey Methodology, Wiley, New York, 2004); (Groves in Public Opinion Quarterly 74(5): 849-879, 2010) and apply it to three case examples in which one of the three surveys is used. We take into account measurement (validity, measurement- and processing error) and representation (coverage-, sampling- and nonresponse error). From our review, we conclude that waiting room surveys, though limited to patients and their caregivers, can provide useful information on patients’ perspective on health care. Response rates in waiting rooms are usually high, but often not even reported. We recommend adjustment for sampling bias by taking into account the number of visits to the hospital per respondent and sample times proportionate to the number of sample members expected on a particular time. These surveys also allow for collection of para-data; i.e., relevant information in the circumstances of a request to participate in survey research, and behavior of surveyors can easily be controlled, or investigated in an experimental design.

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“…These figures demonstrate that approximately 66% of participants had more than 5 years of experience in the construction industry, which determines the possibility of reliable responses. In one of the studies, Jäckle et al stated that experience improves the consistency and value of participants and also increases the degree of reliability [47]. Moreover, the research had five groups of specialists.…”

Section: Demographic Background Of Respondentsmentioning

confidence: 99%

The Need for a Proper Waste Management Plan for the Construction Industry: A Case Study in Lebanon

2022

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The construction industry is known as one of the biggest generators of solid waste. Considering this, attention needs to be paid to construction and demolition (C&D) waste. Lebanon has experienced many situations that have increased the generation of C&D waste. Therefore, it is essential to manage C&D waste. This research aims to assess and analyse the importance of waste management plans and their impact on the generation of construction and demolition waste in Lebanon. For this purpose, an extensive literature review has been carried out, and a questionnaire survey consisting of five sections has been developed. Factors were ranked by using 5-point Likert scales. Additionally, four optional open-ended questions were also included in the survey for qualitative data collection. A survey questionnaire was sent to 80 Lebanese experts, and 50 questionnaires were returned. Most of the responses (i.e., consultants and academics) were from the private sector; results showed that respondents to this survey were biased for their expertise. Reliability and ranking analysis were performed on the collected data. It was found that “site management and supervision-related factors” are the main sources of C&D waste. The main barrier to implement 3R was the “lack of awareness and knowledge”, and the most critical success factor was “waste management regulations”. There is lack of data on construction waste in Lebanon. Therefore, there is a need to conduct research on construction waste management in Lebanon, which is the subject of the current investigation. This research is expected to generate benefits for the construction industry in Lebanon and the surrounding region.

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The Effect of Interviewer Experience, Attitudes, Personality and Skills on Respondent Co-operation with Face-to-Face Surveys

Cited by 15 publications

References 6 publications

What can Interviewer-Collected Paradata Tell About Measurement Quality in Face-to-Face Surveys? Analyzing Response Styles in six Rounds of the European Social Survey

What can Interviewer-Collected Paradata Tell About Measurement Quality in Face-to-Face Surveys? Analyzing Response Styles in six Rounds of the European Social Survey

Just you wait… and fill out this survey. Discussion of the methodological aspects of waiting room surveys

The Need for a Proper Waste Management Plan for the Construction Industry: A Case Study in Lebanon

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