Indicator Waves: a new temporal method for measuring multiple behaviours as indicators of future events

Keatley, David and Clarke, David (2018) Indicator Waves: a new temporal method for measuring multiple behaviours as indicators of future events. Measuring Behaviour, MB2018 . pp. 92-95. ISSN .

Full content URL:

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive


The traditional approach to research in Psychology has been to use cross-sectional designs. While temporal methods are not new, they are relatively under-used; however, researchers have been developing methods to analyse temporal dynamics [1 - 3]. Mapping changes in behaviour over time facilitates understanding of causal effects and predicting of future outcomes. To date, there are several main approaches to analysing the influence of variables over time in dynamic systems: Survival Analysis [4 - 5]; Behaviour Sequence Analysis [3], T-Pattern Analysis [6 - 7]; and temporal Social Network Analysis [8 - 9]. All of these methods have proven hugely beneficial in mapping the effects of multiple antecedent factors leading toward different outcomes. The aim of the current presentation is to offer a novel method of temporal measurement, Indicator Waves, which allow multiple simultaneous and sequential events to be analysed across varying time-spans. Indicator waves provide easy-to-read statistical wave diagrams, which are interpretable by a wide range of non-specialist end-users. The waves provide quick inference about which risk factors, behaviours, or events (termed ‘Indicators’) are prevalent across different points in time. The plots at each time point provide a profile of the absence or presence of indicators at that time. The method can be applied to both human and non-human samples.

Keywords:behaviour sequence analysis, indicators, risk factors, temporal analysis
Subjects:C Biological Sciences > C810 Applied Psychology
C Biological Sciences > C880 Social Psychology
C Biological Sciences > C841 Health Psychology
C Biological Sciences > C800 Psychology
C Biological Sciences > C890 Psychology not elsewhere classified
C Biological Sciences > C840 Clinical Psychology
Divisions:College of Social Science > School of Psychology
Related URLs:
ID Code:31349
Deposited On:16 Mar 2018 13:02

Repository Staff Only: item control page