高雄醫學大學圖書館 |

語系/ Language: 繁體中文

登入

回首頁

Beyond significance testing: reformi...

Kline, Rex B.

Beyond significance testing: reforming data analysis methods in behavioral research /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Beyond significance testing: reforming data analysis methods in behavioral research // Rex B. Kline.
作者:	Kline, Rex B.
出版者:	Washington, DC :American Psychological Association, : c2004.,
版本:	1st ed.
面頁冊數:	xii, 325 p. :ill. ; : 27 cm.;
提要註:	Practices of data analysis in psychology and related disciplines are changing. This is evident in the longstanding controversy about statistical tests in the behavioral sciences and the increasing number of journals requiring effect size information. This book offers integrative and clear presentations about the limitations of statistical tests and reviews alternative methods of data analysis, such as effect size estimation (at both the group and case levels) and interval estimation (i.e., confidence intervals). Written in a clear and accessible style, it is intended for applied researchers and students who may not have strong quantitative backgrounds. Readers will learn how to measure effect size on continuous or dichotomous outcomes in comparative studies with independent or dependent samples. They will also learn how to calculate and correctly interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas illustrate the application of these principles and how to estimate substantive significance instead of just statistical significance. Additional alternatives to statistical tests are also described, including meta-analysis, resampling techniques like bootstrapping, and Bayesian estimation.
標題:	Psychometrics. -
ISBN:	1591471184 (hard) :

Beyond significance testing: reforming data analysis methods in behavioral research /
Kline, Rex B.

Beyond significance testing: reforming data analysis methods in behavioral research /Rex B. Kline. - 1st ed. - Washington, DC :American Psychological Association,c2004. - xii, 325 p. :ill. ;27 cm.

Includes bibliographical references (p. 295-311) and index.

Practices of data analysis in psychology and related disciplines are changing. This is evident in the longstanding controversy about statistical tests in the behavioral sciences and the increasing number of journals requiring effect size information. This book offers integrative and clear presentations about the limitations of statistical tests and reviews alternative methods of data analysis, such as effect size estimation (at both the group and case levels) and interval estimation (i.e., confidence intervals). Written in a clear and accessible style, it is intended for applied researchers and students who may not have strong quantitative backgrounds. Readers will learn how to measure effect size on continuous or dichotomous outcomes in comparative studies with independent or dependent samples. They will also learn how to calculate and correctly interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas illustrate the application of these principles and how to estimate substantive significance instead of just statistical significance. Additional alternatives to statistical tests are also described, including meta-analysis, resampling techniques like bootstrapping, and Bayesian estimation.

ISBN: 1591471184 (hard) :NT2035

LCCN: 2003022594Subjects--Topical Terms:

213724
Psychometrics.

LC Class. No.: BF39 / .K59 2004

Dewey Class. No.: 150/.72/4

Beyond significance testing: reforming data analysis methods in behavioral research /
LDR:02295nam0 2200349 i 450 001 190510
003 OCoLC
005 20090120095451.0
008 091215b c 000 0 eng
008 091215119s2004 dcua b 001 0 eng d
010 $a 2003022594
019 $a 56194317
020 $a 1591471184 (hard) : $c NT2035
020 $a 9781591471189 (hard)
029 1 $a NLGGC $b 25714904X
029 1 $a YDXCP $b 2060653
029 1 $a NZ1 $b 8062392
035 $a (OCoLC)53288011 $z (OCoLC)56194317
035 $a 0251966
040 $a KMU $d KMU
042 $a pcc
049 $a FISA
050 0 0 $a BF39 $b .K59 2004
082 0 0 $a 150/.72/4 $2 22
084 $a 77.07 $2 bcl
084 $a 31.73 $2 bcl
100 1 $2 97000 $a Kline, Rex B. $3 254269
245 1 0 $a Beyond significance testing: reforming data analysis methods in behavioral research / $c Rex B. Kline.
250 $a 1st ed.
260 # $a Washington, DC : $c c2004. $b American Psychological Association,
300 $a xii, 325 p. : $b ill. ; $c 27 cm.
504 $a Includes bibliographical references (p. 295-311) and index.
520 # $a Practices of data analysis in psychology and related disciplines are changing. This is evident in the longstanding controversy about statistical tests in the behavioral sciences and the increasing number of journals requiring effect size information. This book offers integrative and clear presentations about the limitations of statistical tests and reviews alternative methods of data analysis, such as effect size estimation (at both the group and case levels) and interval estimation (i.e., confidence intervals). Written in a clear and accessible style, it is intended for applied researchers and students who may not have strong quantitative backgrounds. Readers will learn how to measure effect size on continuous or dichotomous outcomes in comparative studies with independent or dependent samples. They will also learn how to calculate and correctly interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas illustrate the application of these principles and how to estimate substantive significance instead of just statistical significance. Additional alternatives to statistical tests are also described, including meta-analysis, resampling techniques like bootstrapping, and Bayesian estimation.
650 1 2 $2 96060 $a Psychometrics. $3 213724
650 # 0 $a Psychometrics $v Congresses. $3 328155
900 $c 到館:2009/01/19 $d 編目:2009/01/19