Practical Statistics for Students

An Introductory Text
Practical Statistics for Students
September 1996 | 384 pages | Sage UK
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eBook
ISBN: 9781446275788
Available from January 0001
Paperback
ISBN: 9781853963292
Available from January 0001

Description

This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.

Contents

Introduction

Introduction

Measurement Concepts

Measurement Concepts

Classifying Data

Classifying Data

Presenting Data

Presenting Data

Measuring Typical Achievement

Measuring Typical Achievement

Measuring Variations in Achievement

Measuring Variations in Achievement

Measuring Relative Achievement

Measuring Relative Achievement

Measuring Association

Measuring Association

Regression Analysis

Regression Analysis

Inferential Statistics

Inferential Statistics

Choosing an Appropriate Test

Choosing an Appropriate Test

Design 1

  • One Group Design: Single Observations on One Variable

Design 2

  • One Group Design: One Observation per Subject on Each of Two or More Variables

Design 3

  • One Group Design: Repeated Observations on the Same Subjects under Two Conditions or before and after Treatment

Design 4

  • One Group - Multi-Treatment (trials): Treatments as Independent Variable

Design 5

  • Two Group Designs: Static Comparisons on One or More Variables

Design 6

  • Multi- Group Design: More than Two Groups, One Single Variable

Design 7

  • Multivariate Analysis. Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (a) No Repeated Measures on Factors

Design 8

  • Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (b) Repeated Measures on ONE Factor

Factorial Designs

  • The Effect of Two Independent Variables on the Dependent Variable; (c) Repeated Measures on BOTH Factors

Description

This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.

Contents

Introduction

Introduction

Measurement Concepts

Measurement Concepts

Classifying Data

Classifying Data

Presenting Data

Presenting Data

Measuring Typical Achievement

Measuring Typical Achievement

Measuring Variations in Achievement

Measuring Variations in Achievement

Measuring Relative Achievement

Measuring Relative Achievement

Measuring Association

Measuring Association

Regression Analysis

Regression Analysis

Inferential Statistics

Inferential Statistics

Choosing an Appropriate Test

Choosing an Appropriate Test

Design 1

  • One Group Design: Single Observations on One Variable

Design 2

  • One Group Design: One Observation per Subject on Each of Two or More Variables

Design 3

  • One Group Design: Repeated Observations on the Same Subjects under Two Conditions or before and after Treatment

Design 4

  • One Group - Multi-Treatment (trials): Treatments as Independent Variable

Design 5

  • Two Group Designs: Static Comparisons on One or More Variables

Design 6

  • Multi- Group Design: More than Two Groups, One Single Variable

Design 7

  • Multivariate Analysis. Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (a) No Repeated Measures on Factors

Design 8

  • Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (b) Repeated Measures on ONE Factor

Factorial Designs

  • The Effect of Two Independent Variables on the Dependent Variable; (c) Repeated Measures on BOTH Factors
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Practical Statistics for Students

An Introductory Text


September 1996 | 384 pages | Sage UK

Format Published Date ISBN Price
Paperback 31/03/2026 9781853963292 $150.00
180 Day Ebook 28/03/2023 9781446275788 $88.00
Lifetime 28/03/2023 9781446275788 $128.00

This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.


Table Of Contents:

  • Introduction
  • Measurement Concepts
  • Classifying Data
  • Presenting Data
  • Measuring Typical Achievement
  • Measuring Variations in Achievement
  • Measuring Relative Achievement
  • Measuring Association
  • Regression Analysis
  • Inferential Statistics
  • Choosing an Appropriate Test
  • Design 1
  • One Group Design: Single Observations on One Variable
  • Design 2
  • One Group Design: One Observation per Subject on Each of Two or More Variables
  • Design 3
  • One Group Design: Repeated Observations on the Same Subjects under Two Conditions or before and after Treatment
  • Design 4
  • One Group - Multi-Treatment (trials): Treatments as Independent Variable
  • Design 5
  • Two Group Designs: Static Comparisons on One or More Variables
  • Design 6
  • Multi- Group Design: More than Two Groups, One Single Variable
  • Design 7
  • Multivariate Analysis. Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (a) No Repeated Measures on Factors
  • Design 8
  • Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (b) Repeated Measures on ONE Factor
  • Factorial Designs
  • The Effect of Two Independent Variables on the Dependent Variable; (c) Repeated Measures on BOTH Factors

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