How to Analyze Data

Carol T. Fitz-Gibbon - University of Durham, UK
December 1987 | 168 pages | Sage US
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ISBN: 9780803931336
Available from January 0001

Description

Here is a basic introduction to a variety of elementary statistical techniques, including those for summarizing data, for examining differences between groups, and for examining relationships between two measures. Analyses of Effect Size--a relatively recent and simple approach for examining differences between groups and for conducting meta-analysis is shown. Only the most basic and useful statistical techniques that are appropriate for answering essential evaluation questions have been included. Worksheets and practical examples are given throughout the volume to support the use of each technique. Guidance is provided on the use of statistical techniques for constructing tests and questionnaires, on methods for choosing appropriate statistics on using meta-analytic techniques, and on using statistical packages – particularly SPSS (a statistical package for microcomputers) – giving readers all the information needed to properly analyze their data.

Contents

Introduction

Introduction

Summarizing a Single Set of Scores

Summarizing a Single Set of Scores

Examining Differences Between Groups

Examining Differences Between Groups

Examining Relationships Between Variables

Examining Relationships Between Variables

Construction Tests and Analyzing Questionnaires

Construction Tests and Analyzing Questionnaires

Selecting Statistical Procedures

Selecting Statistical Procedures

Meta Analysis

Meta Analysis

Description

Here is a basic introduction to a variety of elementary statistical techniques, including those for summarizing data, for examining differences between groups, and for examining relationships between two measures. Analyses of Effect Size--a relatively recent and simple approach for examining differences between groups and for conducting meta-analysis is shown. Only the most basic and useful statistical techniques that are appropriate for answering essential evaluation questions have been included. Worksheets and practical examples are given throughout the volume to support the use of each technique. Guidance is provided on the use of statistical techniques for constructing tests and questionnaires, on methods for choosing appropriate statistics on using meta-analytic techniques, and on using statistical packages – particularly SPSS (a statistical package for microcomputers) – giving readers all the information needed to properly analyze their data.

Contents

Introduction

Introduction

Summarizing a Single Set of Scores

Summarizing a Single Set of Scores

Examining Differences Between Groups

Examining Differences Between Groups

Examining Relationships Between Variables

Examining Relationships Between Variables

Construction Tests and Analyzing Questionnaires

Construction Tests and Analyzing Questionnaires

Selecting Statistical Procedures

Selecting Statistical Procedures

Meta Analysis

Meta Analysis

December 1987 | 168 pages | Sage US

Format Published Date ISBN Price
Paperback 28/02/2026 9780803931336 $126.00

Here is a basic introduction to a variety of elementary statistical techniques, including those for summarizing data, for examining differences between groups, and for examining relationships between two measures. Analyses of Effect Size--a relatively recent and simple approach for examining differences between groups and for conducting meta-analysis is shown. Only the most basic and useful statistical techniques that are appropriate for answering essential evaluation questions have been included. Worksheets and practical examples are given throughout the volume to support the use of each technique. Guidance is provided on the use of statistical techniques for constructing tests and questionnaires, on methods for choosing appropriate statistics on using meta-analytic techniques, and on using statistical packages – particularly SPSS (a statistical package for microcomputers) – giving readers all the information needed to properly analyze their data.


Table Of Contents:

  • Introduction
  • Summarizing a Single Set of Scores
  • Examining Differences Between Groups
  • Examining Relationships Between Variables
  • Construction Tests and Analyzing Questionnaires
  • Selecting Statistical Procedures
  • Meta Analysis

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