Yo In'nami

Associate Professor, Chuo University, Tokyo, Japan
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Research interests in l
anguage testing

--Test method effects on listening/reading test performance (e.g., Currie & Chiramanee, 2010; Kobayashi, 2002)
--Construct validation study of a test/instrument/questionnaire (e.g., research into factorial/structural relationships among variables; see, for example, Bae & Bachman, 2010, Johnson, 2002, Llosa, 2007, 
Mizumoto & Takeuchi, 2012,  Sawaki, 2007, Yamashiro, 2002)
--Meta-analytic inquiry into the variability of effects (e.g., Plonsky & Gass, 2011; for data analysis techniques, see Becker, 1992, Lipsey, 1992, Shadish, 1992)
--Longitudinal measurement of change in language proficiency and program evaluation (e.g., Kozaki & Ross, 2011; Ross, 2005)
  --Regression to the mean (Campbell & Kenny, 1999)
  --Research design (Shadish, Cook, & Campbell, 2002)
--Secondary analysis of survey and administrative datasets
--Application of measurement models to language test data (especially, meta-analysis and structural equation modeling)


Recent publications:
(6) In’nami, Y., & Koizumi, R. (2013). Statistics and software for test revisions. In A. Kunnan (Ed.), Companion to language assessment (Vol. II: Approaches and Development, Part 7: Assessment Development, pp. 925–943). New York: Wiley-Blackwell.
(5) In’nami, Y., & Koizumi, R. (2013). Structural equation modeling in educational research: A primer. In M. S. Khine (Ed.), Applications of structural equation modeling in educational research and practice (pp. 23–51). Rotterdam, the Netherlands: Sense Publishers.
(4) In’nami, Y. (2012c). Test tokuten kaishaku no ryui ten (How to better interpret test scores). In Y. Ushiro (Ed.), Eigo reading test no kangaekata to tsukurikata (Designing English reading tests: Principles and practices) (pp. 78–87). Tokyo: Kenkyusha.
(3) In’nami, Y., Koizumi, R., & Hirai, A. (2012). Meta bunseki (Meta-analysis). In A. Hirai (Ed.), Kyoiku shinrikei kenkyu notameno data bunseki nyumon (An introduction to data analysis in educational and psychological research: Principles and practices using SPSS) (pp. 224–248). Tokyo: Tokyo shoseki.
(2) In’nami, Y. (2012b). Meta bunseki nyumon: Kenkyu kekka wo togo suruniha (An introduction to meta-analysis). In O. Takeuchi & A. Mizumoto (Eds.), Gaikokugo kyoiku kenkyu handbook: Kenkyu shuho no yoriyoi rikaino tameni (The handbook of research into foreign language education) (pp. 227–239). Tokyo: Shohakusha.
(1) In’nami, Y. (2012a). SEM nyumon: Mienai gainen wo atukauniha (An introduction to structural equation modeling). In O. Takeuchi & A. Mizumoto (Eds.), Gaikokugo kyoiku kenkyu handbook: Kenkyu shuho no yoriyoi rikaino tameni (The handbook of research into foreign language education) (pp. 194–206). Tokyo: Shohakusha.

(34) In’nami, Y., & Koizumi, R. (in press). Using EIKEN, TOEFL, and TOEIC to award EFL course credits in Japanese universities. Language Assessment Quarterly special issue (Taylor & Francis/Routledge/Informaworld, UK & USA)
(32) Koizumi, R., In’nami, Y., Asano, K., & Agawa, T. (2016). Validity evidence of Criterion® for assessing L2 writing performance in a Japanese university context. Language Testing in Asia, 6(5), 1–26. (Springer, Germany)
(31) In’nami, Y., & Koizumi, R. (2016). Task and rater effects in L2 speaking and writing: A synthesis of generalizability studies. Language Testing, 33, 341–366. (SAGE Publications, UK & USA)
(30) In’nami, Y., Koizumi, R., & Nakamura, K. (2016). Factor structure of the Test of English for Academic Purposes (TEAP®) test in relation to the TOEFL iBT® test. Language Testing in Asia, 6(1), 1–23. (Springer, Germany)
(27) In’nami, Y., & Koizumi, R. (2014). Research synthesis and meta-analysis in second language learning and testing. English Teaching & Learning, 38, 1–27. [Special issue on research synthesis and meta-analysis in second language learning and testing, co-edited with Rie Koizumi] (invited article)
(23) In’nami, Y., & Koizumi, R. (2013). Review of sample size for structural equation models in second language testing and learning research: A Monte Carlo approach. International Journal of Testing, 13, 329–353. (Taylor & Francis/Routledge/Informaworld, UK & USA)

(21) Koizumi, R., & In’nami, Y. (2012). Effects of text length on lexical diversity measures: Using short texts with less than 200 tokens. System, 40, 554–564. (Elsevier, Netherlands)
(19) In’nami, Y., & Koizumi, R. (2012a). Factor structure of the revised TOEIC® test: A multiple-sample analysis. Language Testing, 29, 131–152. (SAGE Publications, UK & USA)
(18) In’nami, Y., & Koizumi, R. (2011). Structural equation modeling in language testing and learning research: A review. Language Assessment Quarterly8, 250–276. (Taylor & Francis/Routledge/Informaworld, UK & USA)
(17) In’nami, Y., & Koizumi, R. (2010b). Can structural equation models in second language testing and learning research be successfully replicated? International Journal of Testing10, 262273. (Taylor & Francis/Routledge/Informaworld, UK & USA)
(15) Innami, Y., & Koizumi, R. (2010a). Database selection guidelines for meta-analysis in applied linguistics. TESOL Quarterly44, 169184. (Teachers of English to Speakers of Other Languages/Wiley-Blackwell, USA)

CV
Doctoral students supervision (work with me!)

Email: innami"at"tamacc.chuo-u.ac.jp (please replace "at" with @)
Email: innami"at"mre.biglobe.ne.jp
Office: Division of English Language Education, Faculty of Science and Engineering, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo 112-8551, Japan
Last revised November 23, 2016


References
Bae, J., & Bachman, L. F. (2010). An investigation of four writing traits and two tasks across two languages. Language Testing, 27, 213–234.
Becker, B. J. (1992). Models of science achievement: Forces affecting male and female performance in school science. In T. D. Cook, H. Cooper, D. S. Cordray, H. Hartmann, L. V. Hedges, R. J. Light, T. A. Louis, & F. Mosteller (Eds.), Meta-analysis for explanation: A casebook (pp. 209–281). New York: Russel Sage Foundation.
Campbell, D. T., & Kenny, D. A. (1999). A primer on regression artifacts. New York: Guilford.
Currie, M., & Chiramanee, T. (2010). The effect of the multiple-choice item format on the measurement of knowledge of language structure. Language Testing, 27, 471–491.
Johnson, J. (2002). Construct validation of the Secondary Level English Proficiency(SLEP) test at a Japanese junior college. Unpublished doctoral dissertation, Temple University Japan. (UMI No. 3079123)
Kobayashi, M. (2002). Method effects on reading comprehension test performance: Text organization and response format. Language Testing, 19, 193–220.
Kozaki, Y., & Ross, S. J. (2011). Contextual dynamics in foreign language learning motivation. Language Learning, 61, 1328–1354.
Lipsey, M. W. (1992). Juvenile delinquency treatment: A meta-analytic inquiry into the variability of effects. In T. D. Cook, H. Cooper, D. S. Cordray, H. Hartmann, L. V. Hedges, R. J. Light, T. A. Louis, & F. Mosteller (Eds.), Meta-analysis for explanation: A casebook (pp. 83–127). New York: Russel Sage Foundation.
Llosa, L. (2007). Validating a standards-based classroom assessment of English proficiency: A multitrait-multimethod approach. Language Testing, 24, 489–515.
Mizumoto, A., & Takeuchi, O. (2012). Adaptation and validation of self-regulating capacity in vocabulary learning scale. Applied Linguistics, 33, 83–91.
Plonsky, L., & Gass, S. (2011). Quantitative research methods, study quality, and outcomes: The case of interaction research. Language Learning, 61, 325–366.
Ross, S. J. (2005). The impact of assessment method on foreign language proficiency growth. Applied Linguistics, 26, 317–342.
Sawaki, Y. (2007). Construct validation of analytic rating scales in a speaking assessment: Reporting a score profile and a composite. Language Testing, 24, 355–390.
Shadish, W. R., Jr. (1992). Do family and martial psychotherapies change what people do? A meta-analysis of behavioral outcomes. In T. D. Cook, H. Cooper, D. S. Cordray, H. Hartmann, L. V. Hedges, R. J. Light, T. A. Louis, & F. Mosteller (Eds.), Meta-analysis for explanation: A casebook (pp. 129–208). New York: Russel Sage Foundation.
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.
Yamashiro, A. D. (2002). Using structural equation modeling for construct validation of an English as a foreign language public speaking rating scale. Unpublished doctoral dissertation, Temple University Japan. (UMI No. 3057127)