Understanding Society has released its ninth Wave of Innovation Panel (IP) data, which includes a new series of experiments and innovations.
The Innovation Panel dataset contains experiments and methodological tests selected through an annual competition. The next competition will be launched in November 2017.
As with prior waves, in the IP9 dataset there are also methodological experiments involving the value of respondent incentives and mixed-mode data collection.
Breakdown of the experiments in Wave 9
Reconciling Household Income and Spending (Mike Brewer, Jon Burton, Thomas F. Crossley, Paul Fisher, Alessandra Gaia, Annette Jӓckle, and Joachim Winter)
Improving Household Survey Measures of Income (Paul Fisher, Alessandra Gaia, Mike Brewer, Jon Burton, Thomas F. Crossley, Annette Jӓckle, and Joachim Winter)
Masking opposition to immigration: an experimental approach to understand the dynamics of social desirability bias (Mathew J. Creighton, and Amaney Jamal)
A comparison of self-reported sexual identity using direct and indirect questioning (Alessandra Gaia)
Separating systematic measurement error components using multi-trait multi-error (MTME) in longitudinal studies (Alexandru Cernat and Daniel Oberski)
IP9 experiment on visual presentation of satisfaction scales (Jonathan Burton)
What do the general population regard as “successful ageing”? (Elise Whitley, Michaela Benzeval and Frank Popham)
Targeted day of the week to send email invitation to the survey (Annamaria Bianchi)
To read more about these individual experiments please see the new working paper: Understanding Society Innovation Panel Wave 9: Results from Methodological Experiments.
Professor Annette Jäckle, Innovation Panel Research Director said, “We are very pleased that we received many strong proposals for the Innovation Panel experiments from researchers in the UK and aboard. The successful proposals covered a range of disciplines including economics, health, sociology, politics, statistics and survey methodology.”