scholarly journals The effects of question, respondent and interviewer characteristics on two types of item nonresponse

2021 ◽  
Author(s):  
Henning Silber ◽  
Joss Roßmann ◽  
Tobias Gummer ◽  
Stefan Zins ◽  
Kai Willem Weyandt
Keyword(s):  
Item Nonresponse

scholarly journals Improving Data Quality with Sociodemographic Matching?: About the Effects and Implications of Age and Gender Matching in Face-to-Face Interviews

2021 ◽  
pp. 193672442199825
Author(s):  
Felix Bittmann
Keyword(s):  
Data Quality ◽  
European Social Survey ◽  
Item Nonresponse ◽  
Age And Gender ◽  
Social Survey ◽  
Face To Face ◽  
Dependent Variables ◽  
And Gender ◽  
High Degree ◽  
Gender Matching

According to the theory of liking, data quality might be improved in face-to-face survey settings when there is a high degree of similarity between respondents and interviewers, for example, with regard to gender or age. Using two rounds of European Social Survey data from 25 countries including more than 70,000 respondents, this concept is tested for the dependent variables amount of item nonresponse, reluctance to answer, and the probability that a third adult person is interfering with the interview. The match between respondents and interviewers is operationalized using the variables age and gender and their statistical interactions to analyze how this relates to the outcomes. While previous studies can be corroborated, overall effect sizes are small. In general, item nonresponse is lower when a male interviewer is conducting the interview. For reluctance, there are no matching effects at all. Regarding the presence of other adults, only female respondents profit from a gender match, while age is without any effect. The results indicate that future surveys should weigh the costs and benefits of sociodemographic matching as advantages are probably small.

scholarly journals A Comparison of Full and Quasi Filters for Autobiographical Questions

Field Methods ◽  
2018 ◽  
Vol 30 (4) ◽  
pp. 371-385 ◽  
Author(s):  
Kristen Olson ◽  
Megumi Watanabe ◽  
Jolene D. Smyth
Keyword(s):  
National Health ◽  
Well Being ◽  
Item Nonresponse ◽  
Mail Surveys ◽  
Survey Questions ◽  
Using Data ◽  
Response Errors

Some survey questions do not apply to all respondents. How to design these questions for both eligible and ineligible respondents is unclear. This article compares full filter (FF) and quasi filter (QF) designs for autobiographical questions in mail surveys. Using data from National Health, Well-being, and Perspectives Study, we examine the effect of type of filter on item nonresponse rates, response errors, and response distributions. We find that QF questions are more confusing to respondents, resulting in higher rates of item nonresponse and response errors than FF questions. Additionally, FF questions more successfully identify ineligible respondents, bringing estimates closer to national benchmarks. We recommend that survey designers use FF designs rather than QF designs for autobiographical questions in mail surveys.

Toward a General Theory of Diary Panels

2009 ◽  
Vol 105 (3_suppl) ◽  
pp. 1131-1153 ◽  
Author(s):  
Rex S. Toh ◽  
Michael Y. Hu
Keyword(s):  
General Theory ◽  
Conceptual Framework ◽  
Item Nonresponse ◽  
Estimation Errors ◽  
Level Of Involvement ◽  
Record Keeping ◽  
Participation Level ◽  
Conditioning Effect ◽  
The Mean ◽  
Regression Toward The Mean

This article represents an integration of findings reported in seven articles on diary panels that the authors have published, based on the AT&T database. There are four major issues involved with diary panels, to wit: respondent noncooperation involving item nonresponse and attrition, bias leading to estimation errors, mathematical artifacts involving regression toward the mean, and the conditioning effect of being observed. An integrated conceptual framework for diaries is advanced, consisting of five independent variables (questionnaire design, length of participation, level of aggregation, duration of usage, and defining usage rate with length used), four mediating variables (degree of difficulty, participation fatigue, natural mortality, and level of involvement), and six dependent variables (item nonresponse, attrition, accuracy, regression toward the mean, the conditioning effect, and estimation regression). This attempt at a general theory of diary panels is admittedly incomplete, but is meant to serve as a useful conceptual framework for further research on longitudinal studies involving record keeping and reporting.

Item Nonresponse: Ausprägung und Ursachen

2009 ◽  
pp. 282-319
Author(s):  
Oscar W. Gabriel ◽  
S. Isabell Thaidigsmann
Keyword(s):  
Item Nonresponse

An Examination of the Random versus Nonrandom Nature of Item Omissions

1983 ◽  
Vol 20 (3) ◽  
pp. 305-313 ◽  
Author(s):  
Richard M. Durand ◽  
Hugh J. Guffey ◽  
John M. Planchon
Keyword(s):  
Longitudinal Analysis ◽  
Questionnaire Design ◽  
Item Nonresponse ◽  
Aggregate Level ◽  
Design Studies ◽  
Response Quality ◽  
Mail Surveys ◽  
Sociodemographic Correlates ◽  
Systematic Relationships ◽  
The Relationship

Item omission in mail surveys has received little attention other than as a variable measuring response quality in questionnaire design studies. Few researchers have attempted to examine item omission as a nonrandom process. The authors re-evaluate the nature of item nonresponse and analyze item omissions within topical domains. Two independent surveys and a replication study are reported. The tendency to omit survey items is tested for generalizability across domains and between similar studies. Sociodemographic correlates are investigated and a longitudinal analysis by item is performed. The results indicate that item omission is apparently a nonrandom process at an aggregate level, but the magnitude of the relationship is weak. When the data are disaggregated by topical domain, significant systematic relationships become less apparent.

scholarly journals Screening for Pregnancy Status in a Population-Based Sample: Characteristics Associated with Item Nonresponse

2019 ◽  
Vol 23 (3) ◽  
pp. 316-324
Author(s):  
Suzanne C. Hughes ◽  
◽  
Carol J. Hogue ◽  
Melissa A. Clark ◽  
Jessica E. Graber ◽  
...  
Keyword(s):  
Population Based ◽  
Item Nonresponse ◽  
Pregnancy Status ◽  
Sample Characteristics

Item Nonresponse in Mail Surveys: Extent and Correlates

1978 ◽  
Vol 15 (2) ◽  
pp. 285-289 ◽  
Author(s):  
C. Samuel Craig ◽  
John M. Mccann
Keyword(s):  
Survey Research ◽  
Marketing Research ◽  
Nonresponse Bias ◽  
Item Nonresponse ◽  
Mail Surveys ◽  
Source Of Error

Item nonresponse, an often overlooked source of error in survey research, arises when a person returns a questionnaire with some questions unanswered. The authors examine the extent and correlates of item nonresponse in a series of marketing research surveys. The principal findings are that the extent of item nonresponse appears to be independent of questionnaire length and to vary systematically with age and education, and that AIO items are less likely to contain item nonresponse bias than other types of questions.

PROMIS Global Health item nonresponse: is it better to impute missing item responses before computing T-scores?

2019 ◽  
Vol 29 (2) ◽  
pp. 537-546 ◽  
Author(s):  
Nicolas R. Thompson ◽  
Irene L. Katzan ◽  
Ryan D. Honomichl ◽  
Brittany R. Lapin
Keyword(s):  
Global Health ◽  
Item Nonresponse ◽  
Item Responses ◽  
Missing Item
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