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Page 1: Sequence Analysis using Sequence Viewer

Sequence Analysis using Sequence Viewer

Yfke OngenaWorkshop on Sequence

analysis

Wivenhoe House, University of Essex

15 February 2007

Page 2: Sequence Analysis using Sequence Viewer

Overview

•What is Sequence Viewer

•How are data organized in Sequence Viewer

•Overview of the possibilities of the program

•Demonstration of sequential analyses

Page 3: Sequence Analysis using Sequence Viewer

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

Page 4: Sequence Analysis using Sequence Viewer

Screenshot of Sequence Viewer

I: First, how many persons live in your household, counting all adults and including yourself?

R: Four

- - - - - - - -

TranscriptionCoding

field

Main menu

- - - - - - - -

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

Page 7: Sequence Analysis using Sequence Viewer

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

Page 8: Sequence Analysis using Sequence Viewer

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

Page 17: Sequence Analysis using Sequence Viewer

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

Page 18: Sequence Analysis using Sequence Viewer

Let’s turn to the Sequence Viewer Program