Handling survey mode effects in the UK cohort studies

Description:

About the event
This webinar will consider the elements of mixed mode data collection in the Centre for Longitudinal Studies (CLS) cohorts and provide frameworks and relevant empirical evidence to help researchers think about the possible consequences of mode effects in their own analyses.

What’s covered in the event?
Surveys are increasingly moving to mixed mode data collection – for instance, carrying out interviews via face-to-face, telephone, video and/or web. The potential advantages of mixed mode data collection are lower costs, increased efficiency, and higher participation rates.

However, participants’ responses may differ systematically depending on the survey mode used – termed “mode effects”. For instance, the presentation of a survey item either aurally or visually can influence responses, sensitive information may be reported more accurately when given anonymously and complex information may be reported more accurately when an interviewer is present.

Unaccounted for, mode effects may lead to bias in analyses.

This webinar will consider the elements of mixed mode data collection in the CLS cohorts and provide frameworks and relevant empirical evidence to help researchers think about the possible consequences of mode effects in their own analyses. We will describe methods for handling mode effects, discussing their strengths and limitations, and illustrate their application through worked examples. We will conclude with a Q&A session.

The seminar is appropriate for anyone who is analysing CLS cohort data (or other data) which were collected across multiple modes.

Who should attend?
Anyone who is analysing CLS cohort data which involves data collected across multiple modes (with modes differing either within or between cohort members) – this is the case for all recent sweeps of the CLS core cohorts.
This applies across sector, discipline and career stage.

Why take part?
Find out about the elements of mixed mode data collection in the CLS cohorts.
Learn about frameworks and relevant empirical evidence to help you think about the possible consequences of mode effects in your own analyses.
Hear about methods for handling mode effects, including their strengths and limitations.
Discover where to go for more guidance on handling mode effects.

Cost:

Free

Website and registration:

Register for this course

Region:

Greater London

Keywords:

Data Collection, Data Quality and Data Management , Mixed Methods Data Handling and Data Analysis

Related publications and presentations from our eprints archive:

Data Collection
Data Quality and Data Management
Mixed Methods Data Handling and Data Analysis

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