|
Size: 1263
Comment:
|
Size: 2717
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 6: | Line 6: |
| = For Experiment 1 = | |
| Line 8: | Line 7: |
| == Pair == w1,b2,w3&b4 all prime for gave w5,b6,w7&b8 all prime for hand w9,b10,w11&b12 all prime for pass |
= For Experiment 2 = Use tab ''''Expt 2 with training''' of the excel file. [[BR]] Run the numbers with Training and NoTraining combined. Then run the numbers excluding NoTraining. See which one gives you better verb variation and a stronger effect. Do the better instructions do anything to our values? [[BR]] == Trial == 2_agent_gab_gauge [[BR]] 2: experiment 2 [[BR]] agent: manipulating the name of the agent [[BR]] morph: morphological overlap [[BR]] gab: First 2 letters = agent (Gabe), last letter = recipient (boy) [[BR]] gauge: the object transferred [[BR]] Codes: [[BR]] Ga = Gabe [[BR]] Ha = Hannah [[BR]] Si = Simon [[BR]] Pa = Patty [[BR]] B = boy [[BR]] W= woman [[BR]] |
| Line 14: | Line 27: |
| Controls = sentences with frequency matched words with which to compare the phon prime. Prime = the phon prime word |
For right now we are only interested in “agent” trials agent: manipulating the name of the agent Patti/Gabe/Hannah[[BR]] morph: morphological overlap [[BR]] [[BR]] |
| Line 17: | Line 32: |
| == PhonMatchIntended == * 1 = phon prime * 0 = no phon prime |
== Codes for Phonetic Matches == PhonMatch_Intended_Agent [[BR]] PhonMatch_actual_Agent [[BR]] PhonMatch_Intended_theme [[BR]] PhonMatch_actual_theme [[BR]] 0=none [[BR]] 1= initial phonetic match [[BR]] |
| Line 22: | Line 41: |
| number of disfluencies in the sentence | The number of different disfluencies participants produced in their sencences. [[BR]] |
| Line 24: | Line 43: |
| == 2verbs == 1 = 2 verbs used in the sentence... throw it out! |
== Loc Disfluencies == Ryan just coded this (in January) and I sent his guide to you via email. It's also in the results folder with the masterfile_4_17_09. [[BR]] == Subject, verb, object, recipient == Subject & Subject_intended [[BR]] Object & Object_ intended : for any analysis of the affect of the object on the sentence... make sure that Object & Object_intended are the same [[BR]] Recipient [[BR]] Verb = The verb phase. You will find things like “has passed” or “ is passing” in this column. VerbStem = The first active transitive verb in the sentence in singular past tense. [[BR]] [[BR]] ''Use the VerbStem column for any and all analysis.'' == Exclude == if != 0 then exclude [[BR]] |
| Line 28: | Line 58: |
| 0=prepositional phrase 1= double object construction 2= neither |
0 = Prepositional Phrase [[BR]] 1= Double object [[BR]] 2 = Other (passive, incomplete, etc) [[BR]] |
| Line 32: | Line 62: |
| == Trial order == a= 1st block b = 2nd block of trials #position presented in the experiment... check for changes over time |
== Strong Prime == 1 = strong [[BR]] 0 = weak [[BR]] Blank = none [[BR]] |
| Line 37: | Line 67: |
| = For Experiment 2 = Participants 4&5 were improperly trained; participant 2 and 3 were overly creative and should probably be thrown out. Participants 1,2,3,4,5, and 10 ran with after getting introduced to the picture labels. All the other participants ran in the newest version of the experiment (which includes a session of hearing the labels and seeing the pictures and then testing via seeing the pictures and being forced to choose a label). |
== Version == No training = our original 14 subjects who learned the names of the pictures but didn't have beautiful instructional videos to watch that helped prime for pass and hand. Hopefully there is less verb variation in these people. [[BR]] These people got trained on object and people names using the same methods as the no training people, but also got an instructional video with subtle primes for pass and hand. [[BR]] |
For Experiment 2
Use tab 'Expt 2 with training of the excel file. BR Run the numbers with Training and NoTraining combined. Then run the numbers excluding NoTraining. See which one gives you better verb variation and a stronger effect. Do the better instructions do anything to our values? BR
Trial
2_agent_gab_gauge BR 2: experiment 2 BR agent: manipulating the name of the agent BR morph: morphological overlap BR
gab: First 2 letters = agent (Gabe), last letter = recipient (boy) BR gauge: the object transferred BR
Codes: BR
Trial Type
For right now we are only interested in “agent” trials agent: manipulating the name of the agent Patti/Gabe/HannahBR morph: morphological overlap BR BR
Codes for Phonetic Matches
PhonMatch_Intended_Agent BR PhonMatch_actual_Agent BR PhonMatch_Intended_theme BR PhonMatch_actual_theme BR
#Disfluencies
The number of different disfluencies participants produced in their sencences. BR
Loc Disfluencies
Ryan just coded this (in January) and I sent his guide to you via email. It's also in the results folder with the masterfile_4_17_09. BR
Subject, verb, object, recipient
Subject & Subject_intended BR Object & Object_ intended : for any analysis of the affect of the object on the sentence... make sure that Object & Object_intended are the same BR Recipient BR Verb = The verb phase. You will find things like “has passed” or “ is passing” in this column. VerbStem = The first active transitive verb in the sentence in singular past tense. BR BR Use the VerbStem column for any and all analysis.
Exclude
if != 0 then exclude BR
DO?
0 = Prepositional Phrase BR 1= Double object BR 2 = Other (passive, incomplete, etc) BR
- == Strong Prime ==
1 = strong BR 0 = weak BR Blank = none BR
Version
No training = our original 14 subjects who learned the names of the pictures but didn't have beautiful instructional videos to watch that helped prime for pass and hand. Hopefully there is less verb variation in these people. BR These people got trained on object and people names using the same methods as the no training people, but also got an instructional video with subtle primes for pass and hand. BR