Research project

The Use of Paradata (Field Process Data) in Cross-Sectional and Longitudinal Surveys

Lead researcher:

Professor Gabriele Durrant
Other researchers:

Professor Peter Smith
Research funder:

ESRC
Status:

Not active

Staff

Lead researcher

Professor Gabriele Durrant PhD

Prof of Social Stats & Survey Method

Research interests

survey data collection
survey methodology
statistical modelling

Connect with Gabriele

Email: [email protected]

Other researchers

Professor Peter Smith

Professor in Social Statistics

Connect with Peter

Email: [email protected]

Research outputs

Separating interviewer and area effects using a cross-classified multilevel logistic model: implications for survey designs

Rebecca Vassallo, Gabriele Durrant & Peter W.F. Smith, 2016, Journal of the Royal Statistical Society: Series A (Statistics in Society), 180(2), 531-550

DOI: 10.1111/rssa.12206

Type: article

Doorstep interactions and interviewer effects on the process leading to cooperation or refusal

Gabriele B. Durrant & Julia D'Arrigo, 2014, Sociological Methods and Research, 1-29

DOI: 10.1177/0049124114521148

Type: article

Interviewer effects on non-response propensity in longitudinal surveys: a multilevel modeling approach

Rebecca Vassallo, Gabriele B. Durrant, Peter W.F. Smith & Harvey Goldstein, 2014, Journal of the Royal Statistical Society: Series A (Statistics in Society), 1-17

DOI: 10.1111/rssa.12049

Type: article

Modeling call record data: examples from cross-sectional and longitudinal surveys

Gabriele B. Durrant, Julia D'Arrigo & Gerrit Mueller, 2013

Type: bookChapter

Analysing interviewer call record data by using a multilevel discrete-time event history modelling approach

Gabriele B. Durrant, Julia D'Arrigo & Fiona Steele, 2013, Journal of the Royal Statistical Society: Series A (Statistics in Society), 176(1), 251-269

Type: article