sequence analysis using sequence viewer
DESCRIPTION
Sequence Analysis using Sequence Viewer. Yfke Ongena Workshop on Sequence analysis Wivenhoe House, University of Essex 15 February 2007. Overview. What is Sequence Viewer How are data organized in Sequence Viewer Overview of the possibilities of the program - PowerPoint PPT PresentationTRANSCRIPT
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Sequence Analysis using Sequence Viewer
Yfke OngenaWorkshop on Sequence
analysis
Wivenhoe House, University of Essex
15 February 2007
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Overview
•What is Sequence Viewer
•How are data organized in Sequence Viewer
•Overview of the possibilities of the program
•Demonstration of sequential analyses
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Sequence Viewer
•Developed by Wil Dijkstra (VU Amsterdam)
•Managing, coding and analyzing sequential data
•Sequences of ‘events’
•With Survey interviews as data:
•A sequence contains one Q-A sequence
•The events in one sequence are all utterances concerning one question
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Screenshot of Sequence Viewer
I: First, how many persons live in your household, counting all adults and including yourself?
R: Four
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TranscriptionCoding
field
Main menu
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Audio/videofiles
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Organisation of data in Sequence Viewer
•Sequence variables (aggregate, numerical)
•Event codes (alpha numerical)
•Event variables (numerical)
•Keys (links in text or sound/video)
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Event codes in Sequence Viewer
•Variables that ‘describe’ events
•Event can be coded with 1 to 9 variables
•62 different values (A-Z, a-z, 0-9) and — for uncoded values
•Event code = succession of codes on the variables
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Event codes in Sequence Viewer (cd.)
•Example: 3 code variables (‘Actor’, ‘Exchange’ and ‘Adequacy’)
•Then event codes can be : ‘IQA’,’IQI’, ‘RAI’, etc.
•Analyses on individual values or complete codes
•Results of analysis can be converted to Sequence variables
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Event variables in Sequence Viewer
•Unlimited number of variables (unless exceeding 4GB data file size)
•Examples:
•Onset and offset time of events
•Number of words in an utterance
•Speech rate
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Keys in Sequence Viewer
•Text keys or Time keys
•Conversion to sequence variable:•Nr of times the key occurs in a sequence•Nr of words within keys with same keyword
•Conversion to event variable:•Nr of times the key occurs in each event•Nr of words within keys
•Conversion to code variable:•Whether or not/ which key occurs in event
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Keys in Sequence Viewer
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Keys in Sequence Viewer
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Other aspects of Sequence Viewer
•Continuing development
•Requests can relatively quickly be granted
•Beta versions bugs…
•Freeware, but Macintosh only
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Sequential analysis in Sequence Viewer
•Cannell et al. (1968) “reciprocal cue searching process” in interviewer-respondent interaction
•Brenner (1982) “action-by-action analysis”
•Hill & Lepkowski (1996) “behavioural contagion”
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Sequential analysis: comparing general patterns
•Computing agreement between sequences
Sequence 1: IQA RAA IPX
Sequence 2: IQA RAM IPX
(DT delta Agreement = 0.6667)
•Counting the number of different sequences (e.g., paradigmatic/ non-paradigmatic sequences)
•Clustering sequences
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Matrix analysis
•Transitions between successive events
•Lag 1 = immediate succession of an event:
Given event Target event
•Lag 2 = one other events intervenes
Given event (other event) Target event
•Lag 3 = two other events intervene, etc.
•Maximum number of lags is 9
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Next and previous analysis
•Determine target events based on given events
•E.g., what are the consequences of a suggestive probe
•Determine given events based on target events
•E.g., what are the causes of a suggestive probe
•Frequencies & expected frequencies
•Proportions per sequence variable
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Demonstration of analyses in Sequence Viewer
•Simplified version of Multivariate Coding Scheme
•Three variables:
•Actor: I = Interviewer, R = Respondent
•Exchange: Q = Question, A = Answer, P = Perception, C = Comment, R = Request
•Adequacy: A = Adequate, I = Inadequate, x = Does not apply
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Let’s turn to the Sequence Viewer Program