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Basic statistics for psychologists

Basic statistics for psychologists

자료유형
단행본
개인저자
Brysbaert, Marc.
서명 / 저자사항
Basic statistics for psychologists / Marc Brysbaert.
발행사항
Houndsmill, Basingstoke, Hampshire ;   New York :   Palgrave Macmillan,   2011.  
형태사항
xiv, 413 p. : ill. ; 25 cm.
ISBN
9780230275423 (pbk.) 0230275427 (pbk.)
요약
"Basic Statistics for Psychologists combines clear explanations of statistical concepts and tests with a guide to using SPSS, providing an invaluable resource for psychology students. Highly readable and with innovative learning features throughout, this book offers a comprehensive introduction to statistics and their use in social science"--Provided by publisher.
일반주기
Includes index.  
내용주기
Using statistics in psychology research -- Summarising data using the frequency distribution -- Summarising data using measures of central tendency -- Summarising data using measures of variability -- Standardised scores, normal distribution, and probability -- Using the t-test to measure the difference between independent groups -- Interpreting the results of a statistical test -- Non-parametric tests of difference between independent groups -- Using the t-test to measure change in related samples -- Non-parametric tests to measure changes in related samples -- Improving predictions through the Pearson correlation coefficient -- Improving predictions through non-parametric tests -- Using analysis of variance for multiple independent variables -- Going further : more than two levels and multiple predictors.
일반주제명
Psychology --Statistical methods. Psychometrics.
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020 ▼a 0230275427 (pbk.)
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082 0 0 ▼a 150.72/7 ▼2 23
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100 1 ▼a Brysbaert, Marc.
245 1 0 ▼a Basic statistics for psychologists / ▼c Marc Brysbaert.
260 ▼a Houndsmill, Basingstoke, Hampshire ; ▼a New York : ▼b Palgrave Macmillan, ▼c 2011.
300 ▼a xiv, 413 p. : ▼b ill. ; ▼c 25 cm.
500 ▼a Includes index.
505 0 ▼a Using statistics in psychology research -- Summarising data using the frequency distribution -- Summarising data using measures of central tendency -- Summarising data using measures of variability -- Standardised scores, normal distribution, and probability -- Using the t-test to measure the difference between independent groups -- Interpreting the results of a statistical test -- Non-parametric tests of difference between independent groups -- Using the t-test to measure change in related samples -- Non-parametric tests to measure changes in related samples -- Improving predictions through the Pearson correlation coefficient -- Improving predictions through non-parametric tests -- Using analysis of variance for multiple independent variables -- Going further : more than two levels and multiple predictors.
520 ▼a "Basic Statistics for Psychologists combines clear explanations of statistical concepts and tests with a guide to using SPSS, providing an invaluable resource for psychology students. Highly readable and with innovative learning features throughout, this book offers a comprehensive introduction to statistics and their use in social science"--Provided by publisher.
650 0 ▼a Psychology ▼x Statistical methods.
650 0 ▼a Psychometrics.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 150.727 B916b 등록번호 111806616 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

저자소개

Marc Brysbaert(지은이)

정보제공 : Aladin

목차

Preface.- Using statistics in psychology research.- Summarising data using the frequency distribution.- Summarising data using measures of central tendency.- Summarising data using measures of variability.- Standardised scores, normal distribution and probability.- Using the t-test to measure the difference between independent groups.- Interpreting the results of a statistical test.- Using non-parametric tests to measure the difference between independent groups.- Using the t-test to measure change in related samples.- Using non-parametric tests to measure change in related samples.- Improving predictions through the Pearson correlation coefficient.- Improving predictions through non-parametric tests: The Spearman rank correlation and the chi-square test for independence.- Using analysis of variance (ANOVA) to compare more than two conditions.- Post-hoc tests in ANOVA and multiple regression analysis.


정보제공 : Aladin

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