HOME > 상세정보

상세정보

Using statistics in small-scale language education research : focus on non-parametric data

Using statistics in small-scale language education research : focus on non-parametric data (6회 대출)

자료유형
단행본
개인저자
Turner, Jean L.
서명 / 저자사항
Using statistics in small-scale language education research : focus on non-parametric data / Jean L. Turner.
발행사항
New York :   Routledge,   2014.  
형태사항
xi, 344 p. : ill. ; 23 cm.
총서사항
ESL & Applied Linguistics Professional series
ISBN
9780415819930 (hbk) 9780415819947 (pbk)
요약
"Assuming no familiarity with statistical methods, this text for language education research methods and statistics courses provides detailed guidance and instruction on principles of designing, conducting, interpreting, reading, and evaluating statistical research done in classroom settings or with a small number of participants. While three different types of statistics are addressed (descriptive, parametric, non-parametric) the emphasis is on non-parametric statistics because they are appropriate when the number of participants is small and the conditions for use of parametric statistics are not satisfied. The emphasis on non-parametric statistics is unique and complements the growing interest among second and foreign language educators in doing statistical research in classrooms. Designed to help students and other language education researchers to identify and use analyses that are appropriate for their studies, taking into account the number of participants and the shape of the data distribution, the text includes sample studies to illustrate the important points in each chapter and exercises to promote understanding of the concepts and the development of practical research skills. Mathematical operations are explained in detail, and step-by-step illustrations in the use of R (a very powerful, online, freeware program) to perform all calculations are provided.A Companion Website extends and enhances the text with Power Point presentations illustrating how to carry out calculations and use R; practice exercises with answer keys; data sets in Excel MS-DOS format; and quiz, midterm, and final problems with answer keys"--
서지주기
Includes bibliographical references and index.
일반주제명
Applied linguistics -- Statistical methods. Applied linguistics -- Research. Linguistics -- Statistical methods. Computational linguistics. Corpora (Linguistics)
000 02954camuu2200361 a 4500
001 000045815756
005 20141113154359
008 141112s2014 nyua b 001 0 eng
010 ▼a 2013030128
020 ▼a 9780415819930 (hbk)
020 ▼a 9780415819947 (pbk)
020 ▼z 9780203526927 (ebk)
035 ▼a (KERIS)REF000017243212
040 ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d 211009
050 0 0 ▼a P138.5 ▼b .T87 2014
082 0 0 ▼a 418.0072/7 ▼2 23
084 ▼a 418.00727 ▼2 DDCK
090 ▼a 418.00727 ▼b T948u
100 1 ▼a Turner, Jean L.
245 1 0 ▼a Using statistics in small-scale language education research : ▼b focus on non-parametric data / ▼c Jean L. Turner.
260 ▼a New York : ▼b Routledge, ▼c 2014.
300 ▼a xi, 344 p. : ▼b ill. ; ▼c 23 cm.
490 1 ▼a ESL & Applied Linguistics Professional series
504 ▼a Includes bibliographical references and index.
520 ▼a "Assuming no familiarity with statistical methods, this text for language education research methods and statistics courses provides detailed guidance and instruction on principles of designing, conducting, interpreting, reading, and evaluating statistical research done in classroom settings or with a small number of participants. While three different types of statistics are addressed (descriptive, parametric, non-parametric) the emphasis is on non-parametric statistics because they are appropriate when the number of participants is small and the conditions for use of parametric statistics are not satisfied. The emphasis on non-parametric statistics is unique and complements the growing interest among second and foreign language educators in doing statistical research in classrooms. Designed to help students and other language education researchers to identify and use analyses that are appropriate for their studies, taking into account the number of participants and the shape of the data distribution, the text includes sample studies to illustrate the important points in each chapter and exercises to promote understanding of the concepts and the development of practical research skills. Mathematical operations are explained in detail, and step-by-step illustrations in the use of R (a very powerful, online, freeware program) to perform all calculations are provided.A Companion Website extends and enhances the text with Power Point presentations illustrating how to carry out calculations and use R; practice exercises with answer keys; data sets in Excel MS-DOS format; and quiz, midterm, and final problems with answer keys"-- ▼c Provided by publisher.
650 0 ▼a Applied linguistics ▼x Statistical methods.
650 0 ▼a Applied linguistics ▼x Research.
650 0 ▼a Linguistics ▼x Statistical methods.
650 0 ▼a Computational linguistics.
650 0 ▼a Corpora (Linguistics)
830 0 ▼a ESL & Applied Linguistics Professional series.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 418.00727 T948u 등록번호 111726333 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Preface Acknowledgements Section I: Foundations Chapter One: What is research? Chapter Two: Defining and describing variables Chapter Three: Designing sound research--variable roles, threats to validity, and research design Chapter Four: How are research questions formed and what are the parts of well-written research reports? Chapter Five: What is logical about statistical logic and what purposes does it serve? Section II: Analyzing Differences Between Two Sets of Data Chapter Six: The parametric t-test statistics Chapter Seven: The non-parametric Mann-Whitney U Test and Wilcoxon Signed Rank Test statistics Section III: Analyzing Differences Among more than Two Sets of Data Chapter Eight: Introduction to the parametric between-group analysis of variance statistic (ANOVA) Chapter Nine: The non-parametric Kruskal-Wallis and Friedman's Test statistics Section IV: Analyzing Patterns within a Variable and Between Two Variables Chapter Ten: The parametric Pearson’s Product Moment Correlation Coefficient statistic Chapter Eleven: The non-parametric Spearman’s Rho and Kendall's Tau statistics Chapter Twelve: The non-parametric Chi-Squared statistics References


정보제공 : Aladin

관련분야 신착자료

Barral, Céline (2020)
Norton, Bonny (2021)
Oustinoff, Michaël (2020)
Boukreeva-Milliaressi, Tatiana (2021)
Herrmann, Michael (2020)
Greiner, Norbert (2021)