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Predictability of Consonant Perception Ability Through a Listening Comprehension Test:
an Experimental Study on Japanese EFL Learners
SUGAI, Kosuke (Kinki University), YAMANE, Shigeru (Kansai University), KANZAKI, Kazuo (Osaka Electro-Communication University)
Email: ksugai@kindai.ac.jp

1. Overview of our series of researches
1.1 Background
Sugai, et al. (2011): transcription tasks and interviews research
The learners judged to have a similar level of listening
comprehension actually differ in their overall and individual
perception skills.
1.2 General goal
(1): to clarify whether common English listening comprehension
test properly measures learners phonetic/phonological ability or
not
Research plans
- to examine learners abilities in consonant perception:
on-line phoneme judgment task (current research)
- to explore learners abilities in perceptions of syllable
constructions
- to examine learners abilities in stress perception

2. Listening comprehension test
2.1 The test items:
2nd, pre-2nd, and 3rd level of STEP test (one of the most popular
English proficiency tests in Japan)
(The test items whose vocabulary level was too high were
avoided.)
- Part1 (30 items): 4-choice multiple questions using dialogue type
of listening materials
- Part2 (30 items): 4-choice multiple questions using monologue
type of listening materials
2.2 Elaborating the test
107 Japanese EFL learners took this 60 item-test and, out of 60
test items, the most appropriate 30 items were selected based on a
Rasch-model analysis using Winsteps.
This test highly correlates with the test takers TOEIC IP score (r = .
86) and it is valid enough to asses the participant listening
proficiency (α = .929)

(2): if yes, to develop listening tests to assess learners phonetic
proficiency

4. Result
3. Experiment
3.1 Purpose
to examine learners perception abilities of syllable-initial
consonants
Hypothesis 1: A typical listening comprehension test, which is
composed of multiple-choice comprehension questions,
cannot predict learners English phoneme perception skills.
Hypothesis 2: Learners judged to have a similar level of listening
comprehension actually differ in their overall and individual
consonant perception skills.
3.2 Participants
22 Japanese EFL learners whose mean scores in the preliminary
test ranging from 25 to 27 (out of 30) were selected (Their
TOEIC score is around 550.)
3.3 Materials
Seventeen minimal pairs were chosen based on the results in
Sugai (2006).

4.1 Judgment score analysis
- learners the number of correct answers
F (df = 22): 10.63, p < .001, η2 = .01 (small effect size)
Between learners differences is not necessarily large.
- consonants the number of correct answers
F (df = 33): 3382.63, p < .001, η2 = .36 (large effect size)
There are significant differences between the stimuli.
4.2 Reaction time analysis
preliminary arrangements
- excluding the data of incorrect answers
- excluding the 379 data over 2SD per learner (4.69%) which were regard
as outliers
Two-way ANOVA (factors: learners, stimulus sounds)
- the learners RT
F (21, 7679) = 179.27, p < 0.01, η = .57 (large effect size)
There is a significant difference between the learners.

Seventeen minimal pairs
1	
 b	
 v	
 
2	
 b	
 w	
 
3	
 ʧ	
 j	
 

4	
 d	
 ð	
 
5	
 d	
 z	
 
6	
 ð	
 z	
 

7	
  f	
  h	
  10	
  l	
  r	
  13	
  r	
  w	
  16	
  ʃ	
  θ	
 
8	
  f	
  v	
  11	
  l	
  w	
  14	
 s	
 ʃ	
  17	
 v	
 w	
 
9	
 h	
 v	
  12	
 m	
 n	
  15	
 s	
 th	
  	
  	
  	
 

- 34 consonants above were embedded in (/_ad/) syllable,
making 34 stimuli
-The test materials were synthetically created on a text-to-speech
software called Natural Reader ver.3.0.

A B C D E

F G H I

J

K L M N O P Q R

S T U V W

Participant

3.4 Procedure
- stimulus sounds were presented through sound-isolating
headsets
- each target stimulus in the minimal pair was presented more
than 10 times
- The participants responses were recorded with SuperLab 4.0
- In each session, two possible consonants were visually
presented on the computer screen, while one-syllable sound was
given to them aurally. The participants were asked to press a
button (RB-830 response box) corresponding to the onset
consonant they heard as quickly as possible. Their judgments
and reaction time were recorded.

- consonants RT
F (33, 7667) = 15.20, p < 0.01, η = .25(small effect size)
There is a significant difference between the consonants.
Consonants differ in their duration and the onset of perceptional key
elements, and this data may not be meaningful.

5. Conclusion
From the results above both hypothesizes were supported:
(1)  Common listening comprehension tests cannot predict the learners
perceptual ability to discriminate English consonants.
(2) In addition to the overall consonant perception ability, each
consonant perception ability varies between the learners even their
listening comprehension skill being evaluated equal.

This	
  file	
  is	
  on	
  Slideshare.	
  h0p://www.slideshare.net/KosukeSugai/20130905-­‐baal
References	
  
	
Ishikawa,	
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English	
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jisshouteki	
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  Monbukagakusho	
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  52	
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  kagakukennkyuuhi	
  
hojokin	
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Lado,	
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Arbor:	
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Shizuka,T.	
  (2007).	
  Kisokara	
  hukaku	
  rikai	
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  modeling:	
  Koumoku	
  outou	
  riron	
  
toha	
  nitehinaru	
  sokuteino	
  paradigm.	
  Osaka:	
  Kansai-­‐daigaku	
  shuppannbu.	
  
Solé,	
  M-­‐J,	
  Beddor,	
  P.	
  S.,	
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  Ohala,	
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phonology.	
  Oxford:	
  Oxford	
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Sugai,	
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  (2006).	
  Nihonjin	
  EFL	
  gakushuush	
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okeru	
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Takebayasi,	
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Takehuta,	
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Tokyo:	
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Otomo,	
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  Koumoku	
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bunsekihou.	
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Acknowledgment	
  
	
This	
  research	
  was	
  parEally	
  supported	
  by	
  a	
  Grant-­‐in-­‐Aid	
  for	
  ScienEfic	
  Research	
  (C)	
  (No.	
  
22520637)	
  of	
  The	
  Ministry	
  of	
  EducaEon,	
  Science,	
  Sports	
  and	
  Culture,	
  Japan.

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Predictability of Consonant Perception Through Listening Tests

  • 1. Predictability of Consonant Perception Ability Through a Listening Comprehension Test: an Experimental Study on Japanese EFL Learners SUGAI, Kosuke (Kinki University), YAMANE, Shigeru (Kansai University), KANZAKI, Kazuo (Osaka Electro-Communication University) Email: ksugai@kindai.ac.jp 1. Overview of our series of researches 1.1 Background Sugai, et al. (2011): transcription tasks and interviews research The learners judged to have a similar level of listening comprehension actually differ in their overall and individual perception skills. 1.2 General goal (1): to clarify whether common English listening comprehension test properly measures learners phonetic/phonological ability or not Research plans - to examine learners abilities in consonant perception: on-line phoneme judgment task (current research) - to explore learners abilities in perceptions of syllable constructions - to examine learners abilities in stress perception 2. Listening comprehension test 2.1 The test items: 2nd, pre-2nd, and 3rd level of STEP test (one of the most popular English proficiency tests in Japan) (The test items whose vocabulary level was too high were avoided.) - Part1 (30 items): 4-choice multiple questions using dialogue type of listening materials - Part2 (30 items): 4-choice multiple questions using monologue type of listening materials 2.2 Elaborating the test 107 Japanese EFL learners took this 60 item-test and, out of 60 test items, the most appropriate 30 items were selected based on a Rasch-model analysis using Winsteps. This test highly correlates with the test takers TOEIC IP score (r = . 86) and it is valid enough to asses the participant listening proficiency (α = .929) (2): if yes, to develop listening tests to assess learners phonetic proficiency 4. Result 3. Experiment 3.1 Purpose to examine learners perception abilities of syllable-initial consonants Hypothesis 1: A typical listening comprehension test, which is composed of multiple-choice comprehension questions, cannot predict learners English phoneme perception skills. Hypothesis 2: Learners judged to have a similar level of listening comprehension actually differ in their overall and individual consonant perception skills. 3.2 Participants 22 Japanese EFL learners whose mean scores in the preliminary test ranging from 25 to 27 (out of 30) were selected (Their TOEIC score is around 550.) 3.3 Materials Seventeen minimal pairs were chosen based on the results in Sugai (2006). 4.1 Judgment score analysis - learners the number of correct answers F (df = 22): 10.63, p < .001, η2 = .01 (small effect size) Between learners differences is not necessarily large. - consonants the number of correct answers F (df = 33): 3382.63, p < .001, η2 = .36 (large effect size) There are significant differences between the stimuli. 4.2 Reaction time analysis preliminary arrangements - excluding the data of incorrect answers - excluding the 379 data over 2SD per learner (4.69%) which were regard as outliers Two-way ANOVA (factors: learners, stimulus sounds) - the learners RT F (21, 7679) = 179.27, p < 0.01, η = .57 (large effect size) There is a significant difference between the learners. Seventeen minimal pairs 1 b v 2 b w 3 ʧ j 4 d ð 5 d z 6 ð z 7 f h 10 l r 13 r w 16 ʃ θ 8 f v 11 l w 14 s ʃ 17 v w 9 h v 12 m n 15 s th - 34 consonants above were embedded in (/_ad/) syllable, making 34 stimuli -The test materials were synthetically created on a text-to-speech software called Natural Reader ver.3.0. A B C D E F G H I J K L M N O P Q R S T U V W Participant 3.4 Procedure - stimulus sounds were presented through sound-isolating headsets - each target stimulus in the minimal pair was presented more than 10 times - The participants responses were recorded with SuperLab 4.0 - In each session, two possible consonants were visually presented on the computer screen, while one-syllable sound was given to them aurally. The participants were asked to press a button (RB-830 response box) corresponding to the onset consonant they heard as quickly as possible. Their judgments and reaction time were recorded. - consonants RT F (33, 7667) = 15.20, p < 0.01, η = .25(small effect size) There is a significant difference between the consonants. Consonants differ in their duration and the onset of perceptional key elements, and this data may not be meaningful. 5. Conclusion From the results above both hypothesizes were supported: (1)  Common listening comprehension tests cannot predict the learners perceptual ability to discriminate English consonants. (2) In addition to the overall consonant perception ability, each consonant perception ability varies between the learners even their listening comprehension skill being evaluated equal. This  file  is  on  Slideshare.  h0p://www.slideshare.net/KosukeSugai/20130905-­‐baal
  • 2. References   Ishikawa,  K.  (2009).  Recogni(on  and  produc(on  of  English  syllables  by  speakers  of   English  and  Japanese:  Insights  from  the  syllabifica(on  process  and  syllable-­‐ coun(ng  training.  Tokyo:  Kurosio  publishers.   Jiang,  N.  (2012).  Conduc(ng  Reac(on  Time  Research  in  Second  Language  Studies   (Second  Language  Acquisi(on  Research  Series).  Routledge.     Koike,  Y.  (1978).  Gaikokugo  toshite  no  eigo  no  Hearing  nouryoku  keisei  youin  no   jisshouteki  kenkyuu  (I).  Monbukagakusho  showa  52  nenndo  kagakukennkyuuhi   hojokin  kennkyuu  houkoku.   Lado,  R.  and  Andrade,  R.  (1950)  Test  of  aural  percep(on  for  Japanese  students.  Ann   Arbor:  English  language  InsEtute.   Shizuka,T.  (2007).  Kisokara  hukaku  rikai  suru  Rasch  modeling:  Koumoku  outou  riron   toha  nitehinaru  sokuteino  paradigm.  Osaka:  Kansai-­‐daigaku  shuppannbu.   Solé,  M-­‐J,  Beddor,  P.  S.,  and  Ohala,  M.  (2007).  Experimental  approaches  to   phonology.  Oxford:  Oxford  University  Press. Sugai,  K.  (2006).  Nihonjin  EFL  gakushuush  no  eigo  shiin  chikaku:  tan’onnsetsugo  ni   okeru  nan’ido  no  chousa.  Jjikkenn  onnseigaku  to  ippann  gengogaku.  Tokyo:   Tokyo-­‐do  shuppan.   Takebayasi,  S.  (1996).  Eigo  onseigaku.  Tokyo:  Kenkyu-­‐sha.   Takehuta,  Y.  (1996).  Nihonjin  eigo  no  kagaku:  sono  genjou  to  asu  he  no  tenbou.   Tokyo:  Kenkyu-­‐sha.   Otomo,  K.  (1996).  Koumoku  outou  riron  nyuumon:  gengo  tesuto  de-­‐ta  no  atarashii   bunsekihou.  Tokyo:  Taishukan  shoten.       Acknowledgment   This  research  was  parEally  supported  by  a  Grant-­‐in-­‐Aid  for  ScienEfic  Research  (C)  (No.   22520637)  of  The  Ministry  of  EducaEon,  Science,  Sports  and  Culture,  Japan.