Summary information

Study title

Monitoring data streams: Using judgment to detect regime change and to assess the effectiveness of interventions

Creator

Harvey, N, University College London

Study number / PID

851122 (UKDA)

10.5255/UKDA-SN-851122 (DOI)

Data access

Restricted

Series

Not available

Abstract

The research will investigate people's judgments of whether a change has occurred in time series data. Judments of this type are ubiquitous. Doctors monitor diagnostic indicators for signs of disease onset and for evidence that treatments are effective; farmers monitor soil conditions to determine whether additional irrigation is necessary; probation officers moitor probationers' behaviour for evidence of a return to crime. Many other examples could be given. Eighteen experiments will address five questions: Relative to formal methods, how good are people at detecting changes in different features of a time series (eg, level, trend, variance, and autocorrelation)? What factors influence how well people can detect such a change in a time series (eg, characteristics of the series and how it is presented, speed of the change itself)? How is ability to detect a change in a series related to performance in tasks that require it? Such tasks include forecasting from the series and assessing the effectiveness of treatments. How does the nature of the agent producing the change affect how easily it is detected? What psychological processes are responsible for change detection and how, if at all, do they vary with the factors listed above?

Keywords

Methodology

Data collection period

01/10/2010 - 30/09/2013

Country

United Kingdom

Time dimension

Not available

Analysis unit

Individual

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric

Data collection mode

Data were responses to prompts given by a computer program in which participants were shown time series as described in our uploaded documentation files. Data recorded did not include any personal information of the University College London students who participated. Data included judgments of change in the presented time series, confidence judgments, and answers to specific questions - all as described in the documentation files.

Funding information

Grant number

RES-062-23-2735

Access

Publisher

UK Data Service

Publication year

2013

Terms of data access

The Data Collection is available for download to users registered with the UK Data Service.

Related publications

Not available