Tutorial: Multiple3 multiple sessions, multiple writers, multiple sources. Mariëlle Leijten & Luuk Van Waes
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1 Tutorial: Multiple3 multiple sessions, multiple writers, multiple sources Mariëlle Leijten & Luuk Van Waes
2 Introduction Workshop introduction to Example Multiple3 Analyze basic data Filter correct data Group sources Merge datasets Perspectives on data analyses
3 Multiple 3 2 writers, 9 sessions, various sources... First session
4 Multiple 3 Final session
5 Flow of data analyses
6 Flow of data analyses Pre analyze general logging file 1. Pre process: filter relevant data 2. Pre process: recode sources 3. Analyze relevant data (general, linear, summary, pause, ) 4. Post process: merge various datasets
7 Analyze general logging file 1 Analyze general logging file Select the start ID Material Folder: File: Example multiple 3\output (originals) Millie Leigthon_ _1_GA.xml Preview the general logging file Beginning and end of file Long pauses Revisions Sources Background information: De Morgen is a newspaper
8 Basic data preparation Based on Millie Leigthon_ _1_GA.xml
9 Import XML in Excel (shared file Millie )
10 General analysis basic data 1. Name sheet: GA_original 2. Copy full sheet to new sheet and name this Basis
11 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)
12 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)
13 Filter focus events Filter in column B on focus events
14 Filter relevant data Beginning of data: Long pauses Irrelevant data
15 Analyze general logging file 1 Analyze general logging file Select the start ID
16 Pre processing filter relevant data 1. Select the preprocess tab 2. Tick Filter and select the correct idfx file (Millie_1) 3. Select the filter that you need (Time, Event or Window) 4. Click add 5. Click configure and change the ID or start time
17 Pre processing filter relevant data Click configure and change the ID or start time Keep the initial start time Reset the start time
18 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 782kb Filtered idfx file: Millie Leigthon_1.idfx 769kb Original idfx file: Louis Watson_2.idfx 340kb Filtered idfx file: Louis Watson_2.idfx 338kb The filtered idfx file will be the basis for new analyses!
19 Source analysis
20 Pre processing recode 1. Select the preprocess tab 2. Tick Recode and select all correct idfx files 3. Select the Source filter Window) 4. Click add 5. Click new group and follow wizard
21 Source analysis focus event groups Easy coding: internet adresses Main document consists of 3 documents, and 1 action: Wordlog.docx Script_multiple3 Script_multiple3_lw Save as
22 Source analysis focus event groups Complex coding: folders on computer
23 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)
24 Source analysis Millie Louis 3,46 1,96 96,54 main document other 98,04 Activities: Google translate Other documents Activities: Search activity in windows explorer Other activities (mail, project)
25 Merging
26 Merging Additional funding: Milou De Smet, Open University, The Netherlands
27 Vertical merging General analyses
28 Horizontal merging Pause analyses & Summary analyses
29 Import merged data in excel Select Data Select From text Follow Wizard
30 Outputs merging
31 Summary analyses Based on Millie_0 Ratio Product: Total nr of characters in final text (incl. spaces) Process: Total nr of characters (typed + copied) = 0,81 Prop. Product: Total nr of characters in final text (incl. spaces) Process: Total nr of characters typed in Word + other programs = 1,23
32 Summarize data Pivot table Dotted line indicates selection
33 Summarize data You can easily construct tables like: Right click to change values
34 Growth of the text cumulative Millie Louis
35 Growth of the text portion writer Portion of characters Portion of time Millie Louis 23% 12% Total portion of characters Millie: 58 % Louis: 42% Total portion of time Millie: 40 % Louis: 60%
36 Flow of revision analysis
37 Flow of revision Pre process: filter relevant data Analyze: revision matrix (S Notation) Post process: manually merge matrix datasets
38 Analyze revision matrices analyze revision matrix optional: S Notation Material Folder: File: Example multiple 3\6. revision analyses Millie Leigthon_ _0_RM.xml Millie Leigthon_ _0_SN.xml Interpret revision matrix number / spread / contents / impact etc. normal production vs. insert an delete S Notation Calculate R bursts
39 Merged: versioning flow 80 Number of (revision) Number episodes of (revision) episodes Normal Production Delete Insert Normal production Insert Delete Normal Production Delete 55% Insert 45% 50% 50% 47% 53% 10 0 Millie Louis
40 Proportion per person revision episodes words
41 Words in (revision) episodes 450 Number of words in episodes Normal Production Delete Insert
42 R burst Length R Bursts normal production delete insert 50,0 45,0 40,0 35,0 30,0 25,0 20,0 15,0 10,0 5,0 0,
43 R bursts Length R Bursts Normal Production Revision 50,0 45,0 40,0 35,0 30,0 25,0 20,0 15,0 10,0 5,0 0, Length R Bursts insert+normal delete Expon. (insert+normal) 40,0 35,0 30,0 25,0 20,0 15,0 10,0 5,0 0,
44 S Notation Replay Script demonstration professional writing In this demonstration we focus on a professional writing session in which[ ] 1 1 : multiple writers are included multiple sessions are neede[ to] 2 2 d to construct a document multiple sources are used { {Inputlog}16 17 {In this demonstration we show [o]18 19{all functionalities of In putlog. To date Inputlog consists of five modules: [{ }20] { ///.// [Action[ ]3 3s]
45 Flow of pause analysis
46 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
47 Analyze pause analysis analyze pause analysis Material Folder: File: Example multiple 3\9. pause analyses Millie Leigthon_ _0_PA_PT0_FN5.xml Interpret pause analysis general info pause proportion location interval
48 Basic informaton
49 Active vs. Pause time 70,0% Proportion of pause time (> 2 sec) 60,0% 50,0% 40,0% 30,0% 20,0% 10,0% 0,0%
50 Variance over intervals: number of pauses (Millie 0) threshold: 0 sec threshold > 500 ms int_1 int_2 int_3 int_4 int_5
51 Variance over intervals: mean length (> 0 sec) more planning more revision length SD 2,5 2 1,5 1 0,5 0 int_1 int_2 int_3 int_4 int_5
52 Pause length between words 8 mean pause length between words (> 2 sec) Seconds M L M L M L L
53 Thank you Eric Van Horenbeeck (technical coordinator Inputlog) Tom Pauwaert (programmer Inputlog: merging, play module & focus analyses)
54 More information:
55 More information Mariëlle Leijten Flanders Research Foundation University of Antwerp Luuk Van Waes University of Eric Van Horenbeeck University of Antwerp (technical
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