inputlog 5.1 leijten vanwaes - tutorial multiple3 ... - inputlog 5.1 leijten vanwaes... · original...
TRANSCRIPT
Tutorial: Multiple3multiple sessions, multiple writers, multiple sources
Mariëlle Leijten & Luuk Van Waes
Introduction
Workshop
introduction to Example Multiple3
Analyze basic data
Filter correct data
Group sources
Merge datasets
Perspectives on data analyses
Flow of data analyses
Pre‐analyze general logging file
1. Pre‐process: filter relevant data2. Pre‐process: recode sources3. Analyze relevant data (general, linear, summary, pause, …)4. Post‐process: merge various datasets
12 3 4
Analyze general logging file ‐ 1
Analyze general logging file Select the start ID
Material Folder: Example multiple 3\output (originals)File: Millie Leigthon_20130103_1_GA.xml
Preview the general logging file Beginning and end of file Long pauses Revisions Sources
Background information: De Morgen is a newspaper
General analysis ‐ basic data
1. Name sheet: GA_original2. Copy full sheet to new sheet and name this Basis
Identify session
Open sheet: Basis Remove column A‐D Remove row A2‐A16 Add column O‐P‐Q‐R
Name (millie), age (37), sex (female), session (2)
Copy data into new worksheet (sheet: calculations)
First impression of your data
You can filter data in order to search important occurences: “Significant” pauses (yellow) Program switches (green)
You can code data into groups of information Revisions (red ‐ automatically)
Pre‐processing | filter relevant data
1. Select the preprocess tab2. Tick Filter and select the correct idfx‐file (Millie_1)3. Select the filter that you need (Time, Event or Window)4. Click add5. Click configure and change the ID or start time
Pre‐processing | filter relevant data
Click configure and change the ID or start time Keep the initial start time Reset the start time
Pre‐processing | filter relevant data
6. Click process and browse for the location for the new filtered idfx‐file.
Result:Original idfx file: Millie Leighton_1.idfx – 782kbFiltered idfx file: Millie Leigthon_1.idfx – 769kb
Original idfx file: Louis Watson_2.idfx – 340kbFiltered idfx file: Louis Watson_2.idfx – 338kb
The filtered idfx‐file will be the basis for new analyses!
Pre‐processing | recode
1. Select the preprocess tab2. Tick Recode and select all correct idfx‐files3. Select the Source filter Window)4. Click add5. Click new group and follow wizard
Source analysis | focus event groups
Easy coding: internet adresses
Main document consists of ‐ 3 documents, and ‐‐ 1 action:Wordlog.docxScript_multiple3Script_multiple3_lwSave as
Source analysis
All sources are grouped Click process and browse for the location for the new recoded idfx‐files.
Analyze new general analyses Merge these recoded general analyses (cf. next section)
Source analysis
Millie Louis
96,54
3,46
main document
other98,04
1,96
Activities: Google translate Other documents
Activities: Search activity in windows explorerOther activities (mail, project)
Summary analyses
Product: Total nr of characters in final text (incl. spaces)Process: Total nr of characters (typed + copied)
16161996
Product: Total nr of characters in final text (incl. spaces)Process: Total nr of characters typed in Word + other programs
16161309
= 0,81
Based on Millie_0
= 1,23
Ratio
Prop.
Growth of the text | portion writer
Portion of characters Portion of time
12%23%
MillieLouis
Total portion of charactersMillie: 58 %Louis: 42%
Total portion of timeMillie: 40 %Louis: 60%
Flow of revision
Pre‐process: filter relevant data Analyze: revision matrix (S‐Notation) Post‐process: manually merge matrix datasets
Analyze revision matrices
analyze revision matrix optional: S‐Notation
MaterialFolder: Example multiple 3\6. revision analysesFile: Millie Leigthon_20130103_0_RM.xml
Millie Leigthon_20130103_0_SN.xml Interpret revision matrix
number / spread / contents / impact etc. normal production vs. insert an delete S‐Notation Calculate R‐bursts
Merged: versioning flow
0
10
20
30
40
50
60
70
80
1 2 3 4 6 7 9
Number of (revision) episodes
Normal Production
Delete
Insert
53%47%50%50%45%55%
MillieLouis
Normal productionInsertDelete
0
10
20
30
40
50
60
70
80
1 2 3 4 6 7 9
Number of (revision) episodes
Normal Production
Delete
Insert
Words in (revision) episodes
0
50
100
150
200
250
300
350
400
450
1 2 3 4 6 7 9
Number of words in episodes
Normal Production
Delete
Insert
R‐burst
0,0
5,0
10,0
15,0
20,0
25,0
30,0
35,0
40,0
45,0
50,0
1 2 3 4 6 7 9
Length R‐Burstsnormal production delete insert
R‐bursts
0,05,0
10,015,020,025,030,035,040,045,050,0
1 2 3 4 6 7 9
Length R‐BurstsNormal Production Revision
0,0
5,0
10,0
15,0
20,0
25,0
30,0
35,0
40,0
1 2 3 4 6 7 9
Length R‐Burstsinsert+normal delete Expon. (insert+normal)
S‐Notation | Replay
Script∙demonstration∙professional∙writingIn∙this∙demonstration∙we∙focus∙on∙a∙professional∙writing∙session∙in∙which[∙]1|1: ‐∙multiple∙writers∙are∙included ‐∙multiple∙ sessions∙are∙neede[∙to]2|2d∙to∙construct∙a∙document ‐∙multiple∙sources∙are∙used∙ { {Inputlog}16|17 {In∙this∙demonstration∙we∙show∙[o]18|19{all∙functionalities∙of∙Inputlog.∙To∙date∙Inputlog∙consists∙of∙five∙modules:∙[{ }20]21|21|22{ ///….// [Action[∙]3|3s]
Flow of pause analysis
Pre‐process: filter relevant data Analyze: pause analysis pause threshold interval size number of intervals
Post‐process: vertically merge pause analyses
Analyze pause analysis
analyze pause analysis
MaterialFolder: Example multiple 3\9. pause analysesFile: Millie Leigthon_20130103_0_PA_PT0_FN5.xml
Interpret pause analysis general info pause proportion location interval
Active vs. Pause time
0,0%
10,0%
20,0%
30,0%
40,0%
50,0%
60,0%
70,0%
1 2 3 4 6 7 9
Proportion of pause time (> 2 sec)
Variance over intervals: number of pauses (Millie 0)
0
50
100
150
200
250
300
350
400
450
500
int_1 int_2 int_3 int_4 int_5
threshold: 0 sec threshold > 500 ms
Variance over intervals: mean length (> 0 sec)
more planning more revision
0
0,5
1
1,5
2
2,5
int_1 int_2 int_3 int_4 int_5
length SD
Pause length between words
0
1
2
3
4
5
6
7
8
M L M L M L L
1 2 3 4 6 7 9
Second
s
mean pause length between words (> 2 sec)
Thank you
Eric Van Horenbeeck (technical coordinator Inputlog) Tom Pauwaert (programmer Inputlog: merging, play module & focus analyses)