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| = For Experiment 1 = == Pair == w1,b2,w3&b4 all prime for gave [[BR]] w5,b6,w7&b8 all prime for hand [[BR]] w9,b10,w11&b12 all prime for pass [[BR]] == Trial Type == Controls = sentences with frequency matched words with which to compare the phon prime. [[BR]] Prime = the phon prime word [[BR]] == PhonMatchIntended == * 1 = phon prime [[BR]] * 0 = no phon prime [[BR]] == #Disfluencies == number of disfluencies in the sentence == 2verbs == 1 = 2 verbs used in the sentence... throw it out! == DO? == 0=prepositional phrase [[BR]] 1= double object construction [[BR]] 2= neither [[BR]] == Trial order == a= 1st block [[BR]] b = 2nd block of trials [[BR]] #position presented in the experiment... check for changes over time [[BR]] |
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| 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). |
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]] |
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---- /!\ '''Edit conflict - other version:''' ---- == Trial Type == info from Trial in its own row [[BR]] agent: manipulating the name of the agent [[BR]] morph: morphological overlap [[BR]] [[BR]] Gab: First 2 letters = subject (Gabe), last letter = recipient (boy)[[BR]] Ga = Gabe [[BR]] |
Codes: [[BR]] Ga = Gabe [[BR]] |
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| G = girl (not in expt 2) [[BR]] M = man (not in expt 2) [[BR]] |
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| Transcription: What the participant actually said. [[BR]] | == Trial Type == 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]] |
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| == Codes for Phonetic Matches == | |
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| == #Disfluencies == The number of different disfluencies participants produced in their sencences. |
== Total #Disfluencies == Column Name = TotalNumDisfluencies. The number of different disfluencies participants produced in their sentences. [[BR]] |
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| == DO? == | == Loc Disfluencies == Currently contains 6 columns: [[BR]] '''For all of these columns except 'other' a 1 indicates the presence of a disfluency in this location.''' [[BR]] [[BR]] In the case of word restarts, the '''last noun that the person chooses''' is considered the real head. For example in: ''Gabe gave the boy a fence / a cage / gate@wr.'' We count this as being before the second NP, even though we have 3 attempts at the 2nd noun phrase. [[BR]] [[BR]] In the case of word lengthenings, we assume that the reason the word is extended is because of upcoming problems. Therefore in: ''Gabe gave@ln the boy a gate.'' We count this as a disfluency '''after''' the verb and before the first noun phrase. || Column Name || Explanation || Examples || || NP-SUBJdisf || Receives a 1 for all disfluencies before the first noun.|| Yes: Um@fp Gabe gave the woman a pan . [[BR]] Yes: Gabe was going to oo sorry Gabe@sr gave the boy a harp. [[BR]] No: There is a boy wearing um@fp blue shorts. Hannah passes him the pan .|| || VERBdisf || Receives a 1 for all disfluencies between the first noun and the verb. Do NOT count verb restarts here. || Yes: Gabe / pushes over the shovel. || || POSTVB-NP1disf || Receives a 1 if there is a disfluency between the verb and the first noun phrase. || Yes: Patty handed@ln / the pan to a woman. [[BR]] Yes: Gabe pushes / the rainbow. [[BR]] YES: Gabe gave a pot / a pan@wr to the woman. || || POSTVB-NP2disf || Receives a 1 if there is a disfluency between the first noun and the second noun. || Yes: Gabe gave a heart / to a woman . [[BR]] Yes: Patty passed a boy@ln a globe . || || Other || Count of disfluencies that occur in other parts of the sentence. (Receives numbers > 0) || || Examples: [[BR]] Hannah gave / the child a uh@fp / pipe. [[BR]] Receives a 1 for POSTVB-NP1disf, and a 1 for POSTVB-NP2. Other = 0. Total Disfluencies = 3. [[BR]] [[BR]] Gabe@ln punched /// a snack // that was sitting on the table. Receives a 1 for VERBdisf, a 1 for POSTVB-NP1disf, and a 1 for Other. Total Disfluencies = 3. [[BR]] [[BR]] Ha- um@fp Patty@sr placed a ladle@ln on a table. Receives a 1 for SUBJdisf, a 1 for POSTVB-NP1, and a 1 for Other. Total Disfluencies = 3. [[BR]] [[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 == |
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| 1= Double object [[BR]] | 1 = Double object [[BR]] |
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| Ga_Ha_Pa_Intended = based on the object [[BR]] Ga_Ha_Pa_actual [[BR]] == Strong Prime == |
== Strong Prime == |
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| Blank = none | control = filler [[BR]] |
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| ---- /!\ '''Edit conflict - your version:''' ---- == Trial type == info from Trial in its own row [[BR]] agent: manipulating the name of the agent [[BR]] morph: morphological overlap [[BR]] [[BR]] Gab: First 2 letters = subject (Gabe), last letter = recipient (boy)[[BR]] Ga = Gabe [[BR]] Ha = Hannah [[BR]] Si = Simon [[BR]] Pa = Patty [[BR]] B = boy [[BR]] W= woman [[BR]] G = girl (not in expt 2) [[BR]] M = man (not in expt 2) [[BR]] Transcription: What the participant actually said. [[BR]] PhonMatch_Intended_Agent [[BR]] PhonMatch_actual_Agent [[BR]] PhonMatch_Intended_theme [[BR]] PhonMatch_actual_theme [[BR]] 0= none [[BR]] 1= initial phonetic match [[BR]] == #Disfluencies == The number of different disfluencies participants produced in their sencences. == DO? == 0 = Prepositional Phrase [[BR]] 1= Double object [[BR]] 2 = Other (passive, incomplete, etc) [[BR]] Ga_Ha_Pa_Intended = based on the object [[BR]] Ga_Ha_Pa_actual [[BR]] == Strong Prime == 1 = strong [[BR]] 0 = weak [[BR]] Blank = none ---- /!\ '''End of edit conflict''' ---- |
== 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
Total #Disfluencies
Column Name = TotalNumDisfluencies. The number of different disfluencies participants produced in their sentences. BR
Loc Disfluencies
Currently contains 6 columns: BR For all of these columns except 'other' a 1 indicates the presence of a disfluency in this location. BR BR In the case of word restarts, the last noun that the person chooses is considered the real head. For example in: Gabe gave the boy a fence / a cage / gate@wr. We count this as being before the second NP, even though we have 3 attempts at the 2nd noun phrase. BR BR In the case of word lengthenings, we assume that the reason the word is extended is because of upcoming problems. Therefore in: Gabe gave@ln the boy a gate. We count this as a disfluency after the verb and before the first noun phrase.
Column Name |
Explanation |
Examples |
NP-SUBJdisf |
Receives a 1 for all disfluencies before the first noun. |
Yes: Um@fp Gabe gave the woman a pan . BR Yes: Gabe was going to oo sorry Gabe@sr gave the boy a harp. BR No: There is a boy wearing um@fp blue shorts. Hannah passes him the pan . |
VERBdisf |
Receives a 1 for all disfluencies between the first noun and the verb. Do NOT count verb restarts here. |
Yes: Gabe / pushes over the shovel. |
POSTVB-NP1disf |
Receives a 1 if there is a disfluency between the verb and the first noun phrase. |
Yes: Patty handed@ln / the pan to a woman. BR Yes: Gabe pushes / the rainbow. BR YES: Gabe gave a pot / a pan@wr to the woman. |
POSTVB-NP2disf |
Receives a 1 if there is a disfluency between the first noun and the second noun. |
Yes: Gabe gave a heart / to a woman . BR Yes: Patty passed a boy@ln a globe . |
Other |
Count of disfluencies that occur in other parts of the sentence. (Receives numbers > 0) |
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Examples: BR Hannah gave / the child a uh@fp / pipe. BR Receives a 1 for POSTVB-NP1disf, and a 1 for POSTVB-NP2. Other = 0. Total Disfluencies = 3. BR BR Gabe@ln punched /// a snack // that was sitting on the table. Receives a 1 for VERBdisf, a 1 for POSTVB-NP1disf, and a 1 for Other. Total Disfluencies = 3. BR BR Ha- um@fp Patty@sr placed a ladle@ln on a table. Receives a 1 for SUBJdisf, a 1 for POSTVB-NP1, and a 1 for Other. Total Disfluencies = 3. BR 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 control = filler 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