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.

Do Interviewer Assessments of Respondents’ Performance Accurately Reflect Response Behavior?

Field Methods ◽  
2019 ◽  
Vol 32 (2) ◽  
pp. 193-212 ◽  
Author(s):  
Laura Jacobs ◽  
Geert Loosveldt ◽  
Koen Beullens
Keyword(s):  
Data Quality ◽  
European Social Survey ◽  
Response Styles ◽  
Actual Behavior ◽  
Item Nonresponse ◽  
Response Behavior ◽  
Face To Face ◽  
Using Data ◽  
The Relationship ◽  
Interviewer Observations

A growing body of literature points to the possibilities offered by postsurvey interviewer observations as a source of paradata to obtain insights into data quality. However, their utility in predicting actual behavior of respondents has attracted limited scholarly attention so far. Using data from Round 7 of the European Social Survey, we aim to clarify the relationship between interviewer observations and response styles (straightlining, item nonresponse, use of middle and extreme categories). We contribute to previous research by empirically verifying whether interviewer observations in face-to-face interviews can be effectively used as accurate predictors of data quality. Findings suggest that interviewers’ assessments of response behavior to some extent reflect response styles and can potentially be a valuable tool for the evaluation and improvement of survey data quality, although this seems mainly restricted to the most overt (i.e., easily observable) response styles.

scholarly journals Fieldwork Monitoring for the European Social Survey: An illustration with Belgium and the Czech Republic in Round 7

2017 ◽  
Vol 33 (3) ◽  
pp. 659-686
Author(s):  
Caroline Vandenplas ◽  
Geert Loosveldt ◽  
Koen Beullens
Keyword(s):  
Czech Republic ◽  
Data Quality ◽  
Multilevel Model ◽  
European Social Survey ◽  
Repeated Measurements ◽  
Social Survey ◽  
Longitudinal Surveys ◽  
The Czech Republic ◽  
Data Quality Metrics ◽  
Survey Designs

Abstract Adaptive and responsive survey designs rely on monitoring indicators based on paradata. This process can better inform fieldwork management if the indicators are paired with a benchmark, which relies on empirical information collected in the first phase of the fieldwork or, for repeated or longitudinal surveys, in previous rounds or waves. We propose the “fieldwork power” (fieldwork production per time unit) as an indicator for monitoring, and we simulate this for the European Social Survey (ESS) Round 7 in Belgium and in the Czech Republic. We operationalize the fieldwork power as the weekly number of completed interviews and of contacts, the ratio of the number of completed interviews to the number of contact attempts and to the number of refusals. We use a repeated measurement multilevel model, with surveys in the previous rounds of the European Social Survey as the macro level and the weekly fieldwork power as repeated measurements to create benchmarks. We also monitor effort and data quality metrics. The results show how problems in the fieldwork evolution can be detected by monitoring the fieldwork power and by comparing it with the benchmarks. The analysis also proves helpful regarding post-survey fieldwork evaluation, and links effort, productivity, and data quality.

The Subjective Experience of Aging: Correlates of Divergent Views

1989 ◽  
Vol 8 (1) ◽  
pp. 7-18 ◽  
Author(s):  
Ingrid Connidis
Keyword(s):  
Older Persons ◽  
Subjective Experience ◽  
Subjective Health ◽  
Community Dwelling ◽  
Age And Gender ◽  
Positive View ◽  
Significant Relationships ◽  
Age Related ◽  
Dependent Variables ◽  
And Gender

ABSTRACTA stratified random sample of 400 community-dwelling older persons were asked whether they like or dislike anything about being their age and if they have any worries about growing older. The results of multivariate analysis show significant relationships between the dependent variables and several respondent charaderistics including age, subjective health, expectations of older age, and gender. A negative view of aging appears to be associated with experiencing age-related declines. Overall, despite some diversity, the respondents tend to hold a positive view of old age that is coupled with a realistic appreciation of the shortcomings this stage of life may bring.

scholarly journals Methods for Classification of Text Data: Can the Potential of Quantitative Analysis Be Applied to Qualitative Research?

Inter ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 81-96
Author(s):  
Marina Aleksandrova
Keyword(s):  
Social Sciences ◽  
European Social Survey ◽  
Research Field ◽  
Item Nonresponse ◽  
Text Data ◽  
Social Survey ◽  
The Social ◽  
Textual Data ◽  
Analysis Of Results

Text mining has developed rapidly in recent years. In this article we compare classification methods that are suitable for solving problems of predicting item nonresponse. The author builds reasoning about how the analysis of textual data can be implemented in a wider research field based on this material. The author considers a number of metrics adapted for textual analysis in the social sciences: accuracy, precision, recall, F1-score, and gives examples that can help a sociologist figure out which of them is worth paying attention depending on the task at hand (classify text data with equal accuracy, or more fully describe one of the classes of interest). The article proposes an analysis of results obtained by analyzing texts based on the materials of the European Social Survey (ESS).

scholarly journals Comparative assessment of content overlap between written documentation and verbal communication: an observational study of resident sign-outs

JAMIA Open ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 210-217 ◽  
Author(s):  
Joanna Abraham ◽  
Imade Ihianle ◽  
Charlotte E Ward ◽  
Vineet M Arora ◽  
Thomas G Kannampallil
Keyword(s):  
General Medicine ◽  
Verbal Communication ◽  
Medical Record Number ◽  
Face To Face ◽  
Code Status ◽  
Medicine Service ◽  
Verbal Content ◽  
And Gender ◽  
Transfer Of Information ◽  
High Degree

Abstract Objective Effective sign-outs involve verbal communication supported by written or electronic documentation. We investigated the clinical content overlap between sign-out documentation and face-to-face verbal sign-out communication. Methods We audio-recorded resident verbal sign-out communication and collected electronically completed (“written”) sign-out documentation on 44 sign-outs in a General Medicine service. A content analysis framework with nine sign-out elements was used to qualitatively code both written and verbal sign-out content. A content overlap framework based on the comparative analysis between written and verbal sign-out content characterized how much written content was verbally communicated. Using this framework, we computed the full, partial, and no overlap between written and verbal content. Results We found high a high degree of full overlap on patient identifying information [name (present in 100% of sign-outs), age (96%), and gender (87%)], past medical history [hematology (100%), renal (100%), cardiology (79%), and GI (67%)], and tasks to-do (97%); lesser degree of overlap for active problems (46%), anticipatory guidance (46%), medications/treatments (15%), pending labs/studies/procedures (7%); and no overlap for code status (<1%), allergies (0%) and medical record number (0%). Discussion and Conclusion Three core functions of sign-outs are transfer of information, responsibility, and accountability. The overlap—highlighting what written content was communicated—characterizes how these functions manifest during sign-outs. Transfer of information varied with patient identifying information being explicitly communicated and remaining content being inconsistently communicated. Transfer of responsibility was explicit, with all pending and future tasks being communicated. Transfer of accountability was limited, with limited discussion of written contingency plans.

Predictive Factors of Depression Among Relatives of Brain-Dead Persons: A Descriptive Correlational Study

2020 ◽  
pp. 003022282097480
Author(s):  
Kourosh Amini ◽  
Mahnaz Rahmani ◽  
Masoumeh Asgari ◽  
Ramazan Fallah
Keyword(s):  
Brain Death ◽  
Predictive Factors ◽  
First Year ◽  
Age And Gender ◽  
High Prevalence ◽  
Prevalence Of Depression ◽  
Dependent Variables ◽  
And Gender ◽  
Low Educated ◽  
The Unemployed

This study aimed to determine the predictive factors of depression among relatives of person deceased by brain death. In this study, 106 first-degree relatives of people who died of due to brain death were studied. Of the study units, 72.64% had levels of depression (severe, moderate, and mild). Among the dependent variables concerning deceased person, age and gender of the deceased were significantly correlated with the depression of their relatives. Among the variables concerning relatives, low level of education, unemployment and time elapsed after brain death have significant role in the incidence or prediction of their depression (p < 0.05). The results indicated a high prevalence of depression among relatives of men aged 30–50 who died because of brain death. It is recommended to consider this fact in planning to care relatives, especially among the low-educated, the unemployed and experiencing the first year of death, of people deceased by brain death.

Moving from Face-to-Face to a Web Panel: Impacts on Measurement Quality

2020 ◽  
Author(s):  
Alexandru Cernat ◽  
Melanie Revilla
Keyword(s):  
Data Quality ◽  
Online Survey ◽  
Measurement Equivalence ◽  
European Social Survey ◽  
Measurement Quality ◽  
Main Research ◽  
Individual Level ◽  
Face To Face ◽  
Measurement Mode ◽  
Alternative Sources

Abstract Time and cost pressures, the availability of alternative sources of data, and societal changes are leading to a move from traditional face-to-face surveys to web or mixed-mode data collection. While we know that there are mode differences between web and face-to-face (presence of an interviewer or not, type of stimuli, etc.), it is not clear to what extent these differences could threaten the comparability of data collected in face-to-face and web surveys. In this article, we investigate the differences in measurement quality between the European Social Survey (ESS) Round 8 and the CROss-National Online Survey (CRONOS) panel. We address three main research questions: (1) Do we observe differences in terms of measurement quality across face-to-face and web for the same people and questions? (2) Can we explain individual-level differences in data quality using respondents’ characteristics? and (3) Does measurement equivalence (metric and scalar) hold across the ESS Round 8 and the CRONOS panel? The results suggest that: (1) in terms of data quality, the measurement mode effect between web and face-to-face as implemented in the ESS (i.e., using show cards) is not very large, (2) none of the variables considered consistently explain individual differences in mode effects, and (3) measurement equivalence often holds for the topics studied.

scholarly journals Η ευρωπαϊκή κοινωνική έρευνα: Οργανωτική δομή και μεθοδολογικό πλαίσιο

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Γιάννης Νικ. Υφαντόπουλος
Keyword(s):  
Response Rate ◽  
Social Values ◽  
European Social Survey ◽  
Scientific Instrument ◽  
Economic Policies ◽  
Lisbon Strategy ◽  
Data Set ◽  
Social Survey ◽  
Policy Documents ◽  
Face To Face

<p>Over the last three to four decades, the European Commission and Eurostat have developed harmonized methodologies aiming at the collection and statistical analysis of European data. This process has contributed enormously to<br />the shaping and evaluation of social and economic policies as well as to the assessment of the Lisbon Strategy. The European Social Survey (ESS) constitutes a “New Scientific Instrument” for the investigation of beliefs, attitudes, ideas and social values of the Europeans. Currently, the total number of participating countries amounts to 32 and the data set includes more than 30,000 face to face interviews. The ESS data base is explored by more than 10,000 registered users, producing books, scientific articles, papers and policy documents. In Greece the first round (2002-2003) was conducted by face to face interviews in a random sample of 3.227 households and a response rate of 80%. The second round (2004-2003) was launched to 3.002 households and the response rate accounted to 74,2%. Greece, in comparison with the rest of the participating countries in the ESS study, fulfilled all the strict scientific criteria and achieved the highest response rates.</p>

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