Introduction to the new statistics

Introduction to the new statistics: estimation, open science, and beyond

by Cumming, Geoff

Type Book
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This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis ('the new statistics'). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout.

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Title Statements

  • Full title :Introduction to the new statistics : estimation, open science, and beyond / Geoffrey Cumming, Robert Calin-Jageman.

Summary

This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis ('the new statistics'). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout.

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Edition Statements

  • Publication Date:2017.

Publication Statements

The Physical Object

  • Description:xxviii, 560 pages : : illusttrations (some color) ; : 26 cm

Edition Identifiers

  • ISBN:9781138825512, 1138825514, 9781138825529, 1138825522
  • oclc:ocn939911229
  • LC Classification:QA276.8
  • Dewey Decimal:519.5

Table of Contents

Asking and answering research questions -- Research fundamentals : don't fool yourself -- Picturing and describing data -- The normal distribution and sampling -- Confidence intervals and effect sizes -- p values, null hypothesis significance testing, and confidence intervals -- The independent groups design -- The paired design -- Meta-analysis -- Open science and planning research -- Correlation -- Regression -- Frequencies, proportions, and risk -- Extended designs : one independent variable -- Extended designs : two independent variables -- Future directions.

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