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TOEIC Bridge and ER in remote classes
Extensive Reading Zoom 11 Sessions Sat, May 15,
16:00-16:45 JST
Mamoru “Bobby” Takahashi
Akita Prefectural University
Research Questions
1. Did the amount of words in ER influence the scores
of the TOEIC Bridge test?
2. Did the scores of the TOEIC Bridge test influence the
amount of words?
Method
2 sets of TOEIC Bridge test scores were
archived and the number of words read by
the students were recorded by using MReader.
Research subjects
• The participants in the study were 57
Japanese university-level engineering
students:
Procedures
• A one-way ANOVA and Turkey test were used to
analyze the relationships among the TOEIC
Bridge test scores and the amount of words.
The statistic software SPSS 26.0 was used
In the first analysis,
students were divided
into three groups
according to the
Amount of Words
low (less than 60,000 words/year)
middle (60,000-150,000 words/year)
high (more than 150,000 words/year)
In the second analysis, students
were divided into three groups
according to the result of the
scores of TOEIC Bridge test
Classification
Over 85 are higher level group that is equivalent of B1
in CEFR
Between 72 and 84 middle level group that is
A2 in CEFR
Under 71 lower level group that is A1 in CEFR.
This table shows the result of
the analysis of variance
(ANOVA) of the three groups.
In the first Bridge test, the p
value is smaller than 0.05, so
there is a significant difference
among the groups.
Which specific groups did actually
have differences in scores?
➔ To see it, we used the Turkey test to
identify homogeneous subgroups.
1st Bridge Test
In the table of the first Bridge Test,
Group 3 and Group 1 under Subgroup
1 are the same subgroup at the 5%
level. Group 1 and Group 2 under
Subgroup 2 are also the same subgroup.
Group 2 ≠ Group 3
When divided into subgroups, there was
a statistically significant difference
between Group 2 (60,000 or more and
less than 150,000 words) and Group 3
(less than 60,000 words).
It can be inferred from this
result that better students read
more amount of words
because their English
proficiency level was already
higher at the beginning of the
year.
On the other hand, in the second
test, there was no significant
difference between the three groups
It is presumed that extensive reading
eliminated the differences in the
reading proficiency among students.
The Correlation between
the Amount of Words and
the TOEIC Bridge Scores
There was a significant
difference at the 99%
confidence level ( p<
0.01) between 1st and
2nd Bridge test.
There was also a
significant difference at
the 95% level w ( p<
0.05)between 2nd
Bridge test and the
Amount of Words.
The Contribution of
the Amount of Words
to the TOEIC Bridge
Test Scores
The obtained p value
would lead us to think
that the Amount of Words
influenced the result of
the second TOEIC Bridge
test.
influenced
In the second analysis, students
were divided into three groups
according to the result of the
second TOEIC Bridge test scores:
over 85 is higher level group
(Group1),
between 72 and 84 is middle level
group (Group2),
and under 71 is lower level group
(Group3).
In the first Bridge test and the second Bridge test,
the p value is smaller than 0.01, so there is a
significant difference among the groups at the 99%
confidence level. On the contrary, there is no
significant differences among the groups in the
amount of words.
???
Then, in the first
and second Bridge
test, which specific
groups did actually
have differences?
To see it, we used
the Turkey test to
identify
homogeneous
subgroups.
In the table of the first
Bridge Test, Group 2 and
Group 1 under Subgroup 1
are the same subgroup at
the 5% level. Group 3 is
different from other two
groups. In the second
Bridge test, each group is
different from each other
naturally because these
groups are separated
according to the result of
the second Bridge test
scores.
There is no difference between the
subgroups in the Amount of Words.
In other words, the three groups are
statistically considered to be the
same group.
Research Questions
The first one dealt
with the
influence of the
amount of words
over the TOEIC
Bridge test scores.
The second
questions is
related to the
influence of the
TOEIC Bridge test
scores over the
amount of words.
Answer to the 1st Question
The amount of
explained
variance (R2) of
the correlations is
important here.
11% of the TOEIC
Bridge test score
could be
explained for by
the amount of
words in 2020.
In the previous
years between
2014 and 2019,
the R2 values were
only between
1.9% to 5.6%.
The TOEIC Bridge
test scores owes a
lot to the amount
of words in 2020.
Answer to the 2nd Question
The analysis
shows that the
TOEIC Bridge test
scores influenced
over the amount
of words
There was a
statistically
significant difference
between Group 2
(60,000 or more and
less than 150,000
words) and Group 3
(less than 60,000
words) when we
analyzed the
difference of means
in the first Bridge
test.
Conclusion
The result shows that the amount
of words in ER positively influenced
the English proficiency of the
students. The result of the analyses
also shows that the initial English
proficiency positively influenced the
amount of words.
References
Aka, N. (2019). Reading performance of Japanese high school
learners following a one-year extensive reading program.
Reading in a Foreign Language, 31(1), 1-18. Retrieved from
http://nflrc.hawaii.edu/rfl
Beglar, D., & Hunt, A. (2014). Pleasure reading and reading
rate gains. Reading in a Foreign Language, 26(1), 29-48.
Retrieved from http://nflrc.hawaii.edu/rfl
Bewlay, H. (1916). Waring. Notes and Queries, s12-I(14), 268.
https://doi.org/10.1093/nq/s12-I.14.268-a
Carney, N. (2016). Gauging Extensive Reading’s Relationship
with TOEIC Reading Score Growth. Journal of Extensive
Reading, 4. Retrieved from http://jalt-publications.org/
content/index.php/jer/article/view/11
Chen, C. N., Chen, S. H. E. C., Chen, S. H. E. C., Wey, S. C.,
Nation, P., & Takase, A. (2013). The impact of extensive
reading on reluctant Japanese EFL learners. The European
Journal of Applied Linguistics and TEFL, 12(7), 97-114.
Endris, A. A. (2018). Effects of Extensive Reading on EFL
Learners’s Reading Comprehension and Attitudes.
International Journal of Research in English Education, 3(4), 1-
11. https://doi.org/10.29252/ijree.3.4.1
Ferrari Aggradi, G., Esposito, F., & Matta, I. (2008). Supporting
predicate routing in DTN over MANET. Proceedings of the
Annual International Conference on Mobile Computing and
Networking, MOBICOM, 27(1), 125-127.
https://doi.org/10.1145/1409985.1410010
Introduction, I. (n.d.). Exploring the Relationship between
Extensive Reading Instruction and EFL Learners’s Reading
Proficiency.
Jeon, E.-Y., & Day, R. (2016). The Effectiveness of ER on Reading
Proficiency: A Meta-Analysis. Reading in a Foreign Language, 28(2),
246-265.
Karlin, O., & Romanko, R. (2010). Examining Multiple Variables within
a Single ER Setting. The Reading Matrix, 10(2), 181-204.
Meunier, F., Van de Vyver, J., Bradley, L., Thoueny, S., Lyddon, P. A., &
Kramer, B. (2019). Connecting extensive reading to TOEIC
performance. CALL and Complexity Short Papers from EUROCALL
2019, 2019(2019), 257-262.
https://doi.org/10.14705/rpnet.2019.38.1019
Robb, T., & Kano, M. (2013). Effective extensive reading outside the
classroom : A large-scale experiment. Reading in a Foreign Language,
25(2), 234-247.
Sakurai, N. (2017). The Relationship between the Amount of Extensive
Reading and the Writing Performance. Reading Matrix: An
International Online Journal, 17(2), 142-164.
Takahashi, M., & Itoh, D. (2019). A TOEIC Bridge over Troubled
Waters: How ER can Statistically Improve English Test Scores. 秋田県
立大学総合科学研究彙報.19, 31-36.
(1) MEXT
https://www.mext.go.jp/b-menu/houdou/30/03/--
icsFiles/afieldfile/2019/01/15/1402610-1.pdf ) and ETS.
( http://www.iibc-global.org/library/redirect-only/library/toeic-
data/bridge/pdf/data/Comparison-BridgeandTOEIC.pdf
https://www.iibc-global.org/library/default/toeic/official-data/bridge-
lr/bridgescore-comparison-list.pdf

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Toeicbridgeanderinremoteclasses 210503053848

  • 1. TOEIC Bridge and ER in remote classes Extensive Reading Zoom 11 Sessions Sat, May 15, 16:00-16:45 JST Mamoru “Bobby” Takahashi Akita Prefectural University
  • 2. Research Questions 1. Did the amount of words in ER influence the scores of the TOEIC Bridge test? 2. Did the scores of the TOEIC Bridge test influence the amount of words?
  • 3. Method 2 sets of TOEIC Bridge test scores were archived and the number of words read by the students were recorded by using MReader. Research subjects • The participants in the study were 57 Japanese university-level engineering students: Procedures • A one-way ANOVA and Turkey test were used to analyze the relationships among the TOEIC Bridge test scores and the amount of words. The statistic software SPSS 26.0 was used
  • 4. In the first analysis, students were divided into three groups according to the Amount of Words low (less than 60,000 words/year) middle (60,000-150,000 words/year) high (more than 150,000 words/year)
  • 5. In the second analysis, students were divided into three groups according to the result of the scores of TOEIC Bridge test Classification Over 85 are higher level group that is equivalent of B1 in CEFR Between 72 and 84 middle level group that is A2 in CEFR Under 71 lower level group that is A1 in CEFR.
  • 6. This table shows the result of the analysis of variance (ANOVA) of the three groups. In the first Bridge test, the p value is smaller than 0.05, so there is a significant difference among the groups.
  • 7. Which specific groups did actually have differences in scores? ➔ To see it, we used the Turkey test to identify homogeneous subgroups.
  • 8. 1st Bridge Test In the table of the first Bridge Test, Group 3 and Group 1 under Subgroup 1 are the same subgroup at the 5% level. Group 1 and Group 2 under Subgroup 2 are also the same subgroup.
  • 9. Group 2 ≠ Group 3 When divided into subgroups, there was a statistically significant difference between Group 2 (60,000 or more and less than 150,000 words) and Group 3 (less than 60,000 words). It can be inferred from this result that better students read more amount of words because their English proficiency level was already higher at the beginning of the year.
  • 10. On the other hand, in the second test, there was no significant difference between the three groups It is presumed that extensive reading eliminated the differences in the reading proficiency among students.
  • 11. The Correlation between the Amount of Words and the TOEIC Bridge Scores There was a significant difference at the 99% confidence level ( p< 0.01) between 1st and 2nd Bridge test. There was also a significant difference at the 95% level w ( p< 0.05)between 2nd Bridge test and the Amount of Words.
  • 12. The Contribution of the Amount of Words to the TOEIC Bridge Test Scores The obtained p value would lead us to think that the Amount of Words influenced the result of the second TOEIC Bridge test. influenced
  • 13. In the second analysis, students were divided into three groups according to the result of the second TOEIC Bridge test scores: over 85 is higher level group (Group1), between 72 and 84 is middle level group (Group2), and under 71 is lower level group (Group3).
  • 14. In the first Bridge test and the second Bridge test, the p value is smaller than 0.01, so there is a significant difference among the groups at the 99% confidence level. On the contrary, there is no significant differences among the groups in the amount of words. ??? Then, in the first and second Bridge test, which specific groups did actually have differences? To see it, we used the Turkey test to identify homogeneous subgroups.
  • 15. In the table of the first Bridge Test, Group 2 and Group 1 under Subgroup 1 are the same subgroup at the 5% level. Group 3 is different from other two groups. In the second Bridge test, each group is different from each other naturally because these groups are separated according to the result of the second Bridge test scores.
  • 16. There is no difference between the subgroups in the Amount of Words. In other words, the three groups are statistically considered to be the same group.
  • 17. Research Questions The first one dealt with the influence of the amount of words over the TOEIC Bridge test scores. The second questions is related to the influence of the TOEIC Bridge test scores over the amount of words.
  • 18. Answer to the 1st Question The amount of explained variance (R2) of the correlations is important here. 11% of the TOEIC Bridge test score could be explained for by the amount of words in 2020. In the previous years between 2014 and 2019, the R2 values were only between 1.9% to 5.6%. The TOEIC Bridge test scores owes a lot to the amount of words in 2020.
  • 19. Answer to the 2nd Question The analysis shows that the TOEIC Bridge test scores influenced over the amount of words There was a statistically significant difference between Group 2 (60,000 or more and less than 150,000 words) and Group 3 (less than 60,000 words) when we analyzed the difference of means in the first Bridge test.
  • 20. Conclusion The result shows that the amount of words in ER positively influenced the English proficiency of the students. The result of the analyses also shows that the initial English proficiency positively influenced the amount of words.
  • 21. References Aka, N. (2019). Reading performance of Japanese high school learners following a one-year extensive reading program. Reading in a Foreign Language, 31(1), 1-18. Retrieved from http://nflrc.hawaii.edu/rfl Beglar, D., & Hunt, A. (2014). Pleasure reading and reading rate gains. Reading in a Foreign Language, 26(1), 29-48. Retrieved from http://nflrc.hawaii.edu/rfl Bewlay, H. (1916). Waring. Notes and Queries, s12-I(14), 268. https://doi.org/10.1093/nq/s12-I.14.268-a Carney, N. (2016). Gauging Extensive Reading’s Relationship with TOEIC Reading Score Growth. Journal of Extensive Reading, 4. Retrieved from http://jalt-publications.org/ content/index.php/jer/article/view/11 Chen, C. N., Chen, S. H. E. C., Chen, S. H. E. C., Wey, S. C., Nation, P., & Takase, A. (2013). The impact of extensive reading on reluctant Japanese EFL learners. The European Journal of Applied Linguistics and TEFL, 12(7), 97-114. Endris, A. A. (2018). Effects of Extensive Reading on EFL Learners’s Reading Comprehension and Attitudes. International Journal of Research in English Education, 3(4), 1- 11. https://doi.org/10.29252/ijree.3.4.1 Ferrari Aggradi, G., Esposito, F., & Matta, I. (2008). Supporting predicate routing in DTN over MANET. Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM, 27(1), 125-127. https://doi.org/10.1145/1409985.1410010 Introduction, I. (n.d.). Exploring the Relationship between Extensive Reading Instruction and EFL Learners’s Reading Proficiency. Jeon, E.-Y., & Day, R. (2016). The Effectiveness of ER on Reading Proficiency: A Meta-Analysis. Reading in a Foreign Language, 28(2), 246-265. Karlin, O., & Romanko, R. (2010). Examining Multiple Variables within a Single ER Setting. The Reading Matrix, 10(2), 181-204. Meunier, F., Van de Vyver, J., Bradley, L., Thoueny, S., Lyddon, P. A., & Kramer, B. (2019). Connecting extensive reading to TOEIC performance. CALL and Complexity Short Papers from EUROCALL 2019, 2019(2019), 257-262. https://doi.org/10.14705/rpnet.2019.38.1019 Robb, T., & Kano, M. (2013). Effective extensive reading outside the classroom : A large-scale experiment. Reading in a Foreign Language, 25(2), 234-247. Sakurai, N. (2017). The Relationship between the Amount of Extensive Reading and the Writing Performance. Reading Matrix: An International Online Journal, 17(2), 142-164. Takahashi, M., & Itoh, D. (2019). A TOEIC Bridge over Troubled Waters: How ER can Statistically Improve English Test Scores. 秋田県 立大学総合科学研究彙報.19, 31-36. (1) MEXT https://www.mext.go.jp/b-menu/houdou/30/03/-- icsFiles/afieldfile/2019/01/15/1402610-1.pdf ) and ETS. ( http://www.iibc-global.org/library/redirect-only/library/toeic- data/bridge/pdf/data/Comparison-BridgeandTOEIC.pdf https://www.iibc-global.org/library/default/toeic/official-data/bridge- lr/bridgescore-comparison-list.pdf

Editor's Notes

  1. Starting on May 11th, all of our English classes were online during the first semester in 2020. In the second semester, we met face to face in our classrooms, but we had to split a big class into half to keep social distance. In this learning environment, I was afraid that the proficiency level of our students would not improve so much compared with the students of previous years. On the contrary to my expectation, our freshmen in 2020 left interesting results in TOEIC Bridge test and the amount of reading in ER. The purpose of this study is to examine whether students could improve their English skills under the semi-distance-learning environment in 2020. To be more exact, we might need to compare the record of this particular year with those of previous years. Such a research of comparison would elucidate the relationship between English proficiency and the amount of reading. However, it is my immediate goal to give an analysis of the students of this particular year in this paper. Research Questions The research questions of this study were as follows: 1. Did the amount of words in ER influence the scores of the TOEIC Bridge test? 2. Did the scores of the TOEIC Bridge test influence the amount of words?