sequence analysis using sequence viewer

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Sequence Analysis using Sequence Viewer Yfke Ongena Workshop on Sequence analysis Wivenhoe House, University of Essex 15 February 2007

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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 Presentation

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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

Page 5: Sequence Analysis using Sequence Viewer

Organisation of data in Sequence Viewer

•Sequence variables (aggregate, numerical)

•Event codes (alpha numerical)

•Event variables (numerical)

•Keys (links in text or sound/video)

Page 6: Sequence Analysis using Sequence Viewer

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

Page 9: Sequence Analysis using Sequence Viewer

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

Page 10: Sequence Analysis using Sequence Viewer

Keys in Sequence Viewer

Page 11: Sequence Analysis using Sequence Viewer

Keys in Sequence Viewer

Page 12: Sequence Analysis using Sequence Viewer

Other aspects of Sequence Viewer

•Continuing development

•Requests can relatively quickly be granted

•Beta versions bugs…

•Freeware, but Macintosh only

Page 13: Sequence Analysis using Sequence Viewer

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”

Page 14: Sequence Analysis using Sequence Viewer

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

Page 15: Sequence Analysis using Sequence Viewer

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

Page 16: Sequence Analysis using Sequence Viewer

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