The Principles of Japanese Language Education (a), and (b)

Katsuo TAMAOKA Professor

Department: Graduate School of Languages and Cultures

Class Time: 2011 Spring & Fall Tuesday (Spring) Tuesday (Fall)
Recommended for: Graduate School of Languages and Cultures

close Course Overview

Course Overview

1st Semester
- The Principles of Japanese Language Education (a): Basic methodology for scientific approach to language studies

In this course, you will master a variety of scientific approaches for language studies. Many researchers have tended to advance their studies on languages using individual 'intuitions'. Discussions in these studies were often developed without the basis of scientific evidences. Language studies as science need to discuss language phenomena by adequately verifying the data obtained using proper research methods, in order to develop this area of study soundly. In this course you will learn the ways of proving the different theories of languages which have been discussed so far, utilizing especially psycholinguistic-based methods. I will introduce some techniques for writing a thesis, such as preparing a draft of investigation and experiment plan, statistical analysis of data, how to read the results of analysis, and how to report on the thesis, using some concrete research examples. In this course, I will use one specific research topic of language studies in each class to provide an overview of the process of proving or disproving the research hypothesis.

2nd Semester
- The Principles of Japanese Language Education (d): Advanced methodology for scientific approach to language studies

During the first semester of the Principles of Japanese Language Education (a), you learned the basics of studying languages empirically. In the Principles of Japanese Language Education (b), we will deal with more advanced scientific approaches for language studies. As a continuation to the classes, I will introduce advanced mathematics and statistical analysis methods along with some concrete data. You will be able to apply these techniques to your own language studies. The class contents will be the following four points:

  1. SPSS AMOS 18.0, Structural Equation Modeling (SEM), to investigate whether a model of multivariate cause-and-effect relationships is suitable to obtained data.
  2. How to use DMDX, free software for making experiment programs.
  3. Introduction to the Item Response Theory for a smaller size sample using T-DAP
  4. Use of the indexes of entropy and redundancy for corpus analysis

Key Features

In the class, I will explain a series of research methods according to the order below:

  1. How to determine a sample size
  2. How to collect the data by test and experiment
  3. How to analyze data
  4. How to present results using tables and figures
  5. How to write them for a research paper
  6. How to make a conclusion

Close Section

close Syllabus

Course Schedule

1st semester

Class Lecture Contents
1 Existence or nonexistence of voiceless to voiced sound change, and Lyman's law
2 Effects of the first element on Rendaku: A Chi-square test of independence for frequency data, and Fisher's direct method
3 Concurrences of rendaku depending on types of shoochuu in different regions, and use of polite forms: Decision tree analysis
4 Frequency of conjunctive particles in a sentence or the end of a sentence: Differences between correspondence analysis and decision tree analysis
5 Categorizations depending on the results of Japanese listening tests, vocabulary, and grammar: Descriptive statistics
6 Reliability and validity of tests: Cronbach's reliability coefficient and Gutman's division method and others
7 Frequency of causative sentences with accusative case and dative verb: A single sampled t-test
8 Understanding Japanized English: A two independent sampled t-test, Chi square test of independence, Fisher's direct method, Bonferroni's adjustment
9 Kanji writing ability of native Chinese and Turkish speakers learning the Japanese language: A two independent group t-test
10 Understanding Japanese potential sentences by native Chinese speakers: A corresponding-data t-test sample, and cluster analysis
11 Understanding Japanized English and Koreanized English by native Korean speakers: Analysis of variance, multiple comparison, and cluster analysis
12 Understanding Japanese shortened expressions: Analysis of variance, and cluster analysis for a two-dimensional plotting
13 Understanding canonical and scrambled Japanese sentence orders: Analysis of variance with repeated measures
14 Syllable or mora duration by speakers of Yamaguchi dialects analyzed by two different generations: Chi-square analysis of goodness-of-fit and analysis of variance
15 Summary / Final examination: Multiple choice

2nd Semester

Class Lecture Contents
1 The correlation between vocabulary and grammar ability by native Chinese speakers: Correlation calculations and plotting using Excel
2 Effects of vocabulary and grammar ability on reading comprehension by native Chinese speakers: Correlation and multiple regression analysis using SPSS
3 Cause-and-effect relations of vocabulary, grammar, acquiring –noda by native Chinese speakers: Causal relations using AMOS
4 Various vocabulary, grammar, acquiring -noda, and reading comprehension by native Chinese speakers: Applying various analyses using AMOS
5 "Feeling IQ" of Korean, Part 1: Exploratory factor analysis using SPSS
6 "Feeling IQ" of Korean, Part 2: Exploratory factor analysis using AMOS
7 Factors for acquisition of the Japanese Language: Situational Equation Modeling using AMOS
8 Lexical decision: Use of an experimental software DMDX and reaction time paradigm
9 Priming Experiment: Application of DMDX experimental software
10 Cross-modal experiment for derived and non-derived verbs: Application of DMDX experimental software
11 Characteristics of Japanese vocabulary and syntactic compound verbs: Examination using entropy and redundancy
12 Close examination of Japanese grammar tests: One parameter Rasch model of Item Response Theory
13 Prediction of –hada (Korean) by aspect: Binomial logistic regression analysis
14 Summary / Final examination: Multiple choice


Evaluation will be based on the final examination, which is in the form of multiple-choice questions.

Close Section

Page last updated October 14, 2011

The class contents were most recently updated on the date indicated. Please be aware that there may be some changes between the most recent year and the current page.

Browse by Category

  • Letters
  • History
  • Arts & Culture
  • Politics & Economics
  • Law
  • Philosophy
  • Education, Development & Psychology
  • International Studies
  • Informatics
  • Engineering & Technology
  • Physics
  • Chemistry
  • Mathematics
  • Life Sciences & Medicine
  • Environmental Studies & Earth Studies

Browse by School / Graduate School