117,39 €
Statistical Power Analysis for the Behavioral Sciences
Statistical Power Analysis for the Behavioral Sciences
  • Išparduota
Statistical Power Analysis for the Behavioral Sciences
Statistical Power Analysis for the Behavioral Sciences
El. knyga:
117,39 €
"Statistical Power Analysis" is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
  • Leidėjas:
  • Metai: 2013
  • Puslapiai: 567
  • ISBN: 9781134742707
  • ISBN-10: 1134742703
  • ISBN-13: 9781134742707
  • Formatas: ACSM ?
  • Kalba: Anglų

Statistical Power Analysis for the Behavioral Sciences (el. knyga) (skaityta knyga) | knygos.lt

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"Statistical Power Analysis" is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes:
* a chapter covering power analysis in set correlation and multivariate methods;
* a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;
* expanded power and sample size tables for multiple regression/correlation.

117,39 €
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  • Autorius: Jacob Cohen
  • Leidėjas:
  • Metai: 2013
  • Puslapiai: 567
  • ISBN: 9781134742707
  • ISBN-10: 1134742703
  • ISBN-13: 9781134742707
  • Formatas: ACSM ?
  • Kalba: Anglų

"Statistical Power Analysis" is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes:
* a chapter covering power analysis in set correlation and multivariate methods;
* a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;
* expanded power and sample size tables for multiple regression/correlation.

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