소장자료

Statistics and data analysis for nursing research

  • Polit, Denise F. , Lake, Eileen. , Polit, Denise F.
  • Pearson Education
  • 2010
Statistics and data analysis for nursing research
  • 자료유형
    단행본
  • 서명/저자사항
    Statistics and data analysis for nursing research / Denise Polit, Eileen Lake.
  • 판차
    2nd ed.
  • 발행사항
    Upper Saddle River, N.J. : Pearson Education, c2010.
  • 개인저자
    Polit, Denise F., Lake, Eileen., Polit, Denise F., Data analysis & statistics for nursing research.
  • 형태사항
    xii, 440 p. : ill. ; 26 cm.
  • 일반주기
    Rev. ed. of: Data analysis & statistics for nursing research / Denise F. Polit. c1996.
  • 서지주기
    Includes bibliographical references and indexes.
  • 내용주기
    Ch 1 Introduction to data analysis in an evidence-based practice environment - Ch 2 Frequency distribution: Tabulating and displaying data - Ch 3 Central tendency, variability, and locative standing - Ch 4 Bivariate description: Crosstabulation, and risk indexes and correlation - Ch 5 Statistical inference - Ch 6 T tests: Testing two mean differences - Ch 7 Analysis of variance - Ch 8 Chi-square and nonparametric tests - Ch 9 Correlation and simple regression - Ch 10 Multiple regression - Ch 11 Analysis of covariance, multivariate ANOVA, and related multivariate analyses - Ch 12 logistic regression - Ch 13 Factor analysis and internal consistency reliability analysis - Ch 14 Missing values.
  • 일반주제명
    Nursing - Research
    Nursing - Research - Statistical methods
    Nursing Research - methods
    Statistics as Topic
  • ISBN
    9780135085073, 0135085071
  • 언어
    영어

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목차

Ch 1 Introduction to data analysis in an evidence-based practice environment
Ch 2 Frequency distribution: Tabulating and displaying data
Ch 3 Central tendency, variability, and locative standing
Ch 4 Bivariate description: Crosstabulation, and risk indexes and correlation
Ch 5 Statistical inference
Ch 6 T tests: Testing two mean differences
Ch 7 Analysis of variance
Ch 8 Chi-square and nonparametric tests
Ch 9 Correlation and simple regression
Ch 10 Multiple regression
Ch 11 Analysis of covariance, multivariate ANOVA, and related multivariate analyses
Ch 12 logistic regression
Ch 13 Factor analysis and internal consistency reliability analysis
Ch 14 Missing values