【公開講座】2020 年度マイケル・ハリントン博士公開講座


オーストラリアの名門大学であるクイーンズランド大学のマイケル・ハリントン 博士(昭和女子大学客員教授)による下記の講座を一般に公開いたします。今回は 夏季 7 日間の Zoom によるオンライン講座となります。統計は無料ソフト JASP を使 用します。本年度のトピックはノン・パラメトリック分析です。パラメトリック分 析は正規分布の前提が充たされなければなりませんが、それが充たされない場合に しばしば代替分析方法としてノン・パラメトリック分析行われます。量的研究には 欠かせない統計処理に関する指導を、著名な言語教育の専門家から直接を受けるこ とが出来るまたとない機会ですので、奮ってご応募下さい。[pdf]

We are happy to announce that Dr. Michael Harrington of the University of Queensland will hold an applied linguistics research seminar at Showa Women’s University. This year, all sessions will be conducted online using Zoom. JASP, which is available free of charge, will be used for statistical analyses. The topic for this year is non-parametric (distribution-free) statistics. These techniques are used as an alternative to parametric statistics and play an important role in applied linguistics research. This seminar will provide a hands-on introduction to the use of distribution-free statistics in research on second language teaching and learning. Please make use of this opportunity to familiarize yourself with, or deepen your knowledge of, quantitative research methods.

1. 講座名 Title of the Seminar:

Current Issues in Second Language Research

(文学研究科文学言語学専攻および言語教育・コミュニケーション専攻の学生を 対象とした集中講義)

2. 日程 Dates:

8月 28 日(金)、29日(土)、30日(日)、31日(月)、 9月 4日(金)、5日(土)、6(日)

August 28, 29, 30, 31, September 4, 5, and 6

時間 Class Periods: すべての日時の 13:10~14:40 と 14:50~16:20(日本時間)に Zoom でリアルタイム配信。講義部分は録音され、参加者は後日ご覧になれます。

The Zoom class sessions will be administered during the following periods on each of the above dates: (1) 13:10 – 14:40; (3) 14:50 – 16:20. The lecture part of each session will be recorded and made available to the participants.

3. 対象者 Target Audience:

英語教育に関心を持ち,英語による講義を理解する英語力のある方。 *申込み受付は先着順とし,申込み多数の場合はお断りすることもあります。

This seminar is primarily designed for people who are interested in English education and are able to understand lectures delivered in English.

4. 受講料 Fees:

講習会:7,000 円

Fees: 7,000 yen

6. 講師紹介 Lecturer:

The seminar is presented by Dr Michael Harrington, Visiting Professor in the School of Language Education and Communication Women’s University and Associate Professor of Second Language Acquisition at the University of Queensland, Australia. At the University of Queensland, he teaches quantitative research methods and second language acquisition. He publishes in the areas of second language processing, lexical development and testing. His book Lexical facility: size, speed and consistency as dimensions of second language vocabulary knowledge was published by Palgrave Macmillan in 2018.

マイケル・ハリントン博士はクイーンズランド大学准教授(第二言語習得)で、昭 和女子大学客員教授でもあります。クイーンズランド大学において量的研究方法と 第二言語習得の分野のコースを担当され、第二言語処理、語彙習得、テステイング などの分野で多くの著書・論文があります。直近の著書である Lexical facility: size, speed and consistency as dimensions of second language vocabulary knowledgeは 2018年 に Palgrave Macmillanから出版されました。

7.概要 Overview and Audience

Statistical procedures used in second language research can be divided into two major types: parametric and nonparametric. The two differ in the assumptions that must be met for their use. Parametric statistics make more stringent assumptions about the properties of the distribution of the data being analysed that, if met, yield statistical results that are more generalizable and trustworthy. A key assumption for parametric tests (like Pearson correlation, t-test or ANOVA, etc.) is that the data come from an underlying distribution that is approximately normal. This assumption is often violated in small samples and can also pose problems in larger sample sizes. Nonparametric tests, in contrast, make few assumptions about the properties of the underlying distribution, and often provide a more appropriate analysis than parametric tests for second language research.

This seminar will provide a hands-on introduction to the use of nonparametric statistics in research on second language teaching and learning. No statistics background is assumed. Participants will also gain practical experience in using the statistical tools JASP and SPSS to carry out the statistical analyses of the results and present the findings effectively in tables and figures. The seminar will be of value to graduate student and faculty researchers who want to develop greater expertise in the use of nonparametric statistics, as well as for faculty research advisors who are called on to supervise student research using these tools. Participants do not need prior experience using JASP or SPSS.

7. 各講習日の講座のトピック(予定)Class Schedule (subject to change):

8月 28日(金)August 28 (Friday)

13:10~14:40:Introduction to quantitative research methods

14:50~16:20:The logic and aims of statistical testing

29日(土)August 29 (Saturday)

13:10~14:40:Introduction to nonparametric statistics

14:50~16:20:Testing normality and introduction to JASP & SPSS

30日(日)August 30 (Sunday)

13:10~14:40:Nonparametric correlation statistics

14:50~16:20:Testing nominal scale data

31日(月)August 31 (Monday)

13:10~14:40:Application workshop

14:50~16:20:Comparing two related samples

9月 4日(金)September 4 (Friday)

13:10~14:40: Comparing multiple related samples

14:50~16:20:Comparing two independent samples

5日(土)September 5 (Saturday)

13:10~14:40:Application workshop

14:50~16:20: Comparing multiple independent samples

6日(日)September 6 (Sunday)

13:10~14:40:The future of nonparametric and robust statistics

14:50~16:20:Seminar review and wrap-up

8.申込方法 Application Procedure:

1.申込書を Email 添付にて下記のメールアドレスにご送付下さい。ワード版の申 込用紙ご希望の方は、やはり下記のアドレスの小川宛てにご連絡下さい。

Email: genkomi@swu.ac.jp

Fill out the application form and send it to the above email address. If you prefer to use a Word application form, please email Ogawa at this same email address.

2.受講料は下記の方法でお支払下さい。Payment

銀行振込み:お申込みの方には後ほど振込先情報をお送りします。

Deposit the lesson fees in SWU’s bank account. On receipt of your application, we will send you the detailed deposit information.

9.申込締切 Deadline for Application:

2020 年 8 月 22 日(土)までにお願いします。

Please try to send in your application (or at least notify us by dropping a line) by August 22.

10. お問合せ Contact Us:

昭和女子大学 言語教育・コミュニケーション専攻 小川 genkomi@swu.ac.jp

For further information, please email Ogawa at genkomi@swu.ac.jp.

_______ Please visit our Facebook page:

https://www.facebook.com/groups/swuresearchmethods/