Stream biasing by different induction sequences: Evaluating stream capture as an account of the segregation-promoting effects of constant-frequency inducers

  • Saima Rajasingam (Creator)
  • Robert Summers (Creator)
  • Brian Roberts (Creator)

Dataset

Description

Data underpinning publication of the same name.

Collection Method: These datasets comprise listeners’ judgments of stream segregation for Experiments 1 and 2 of the article of the same title (Rajasingam, Summers, and Roberts; Journal of the Acoustical Society of America, accepted November 2018). Each spreadsheet comprises two worksheets showing the extent of stream segregation (proportion of time the stimulus was reported as segregated) per time bin for each condition. The “Summary” worksheet shows the means and inter-subject standard errors when the results are averaged across listeners. The “TimeSeries” worksheet shows the results separately for each listener. There are two tables in the “TimeSeries” worksheet. The upper table contains empty cells (missing values) indicating cases for which no mean could be computed (see article for full details). In the lower table, these missing values have been replaced using mean imputation. All inferential statistics presented in the article used the data with mean imputation.

Funding: School of Life and Health Sciences, Aston University
Date made available26 Nov 2018
PublisherAston Data Explorer
Date of data productionMar 2014 - Mar 2015

Research Output

Open Access
File
  • Cite this

    Rajasingam, S. (Creator), Summers, R. (Creator), Roberts, B. (Creator) (26 Nov 2018). Stream biasing by different induction sequences: Evaluating stream capture as an account of the segregation-promoting effects of constant-frequency inducers. Aston Data Explorer. 10.17036/researchdata.aston.ac.uk.00000390