An Introduction to Statistics in Psychology: A Complete Guide for Students

by Howitt, Dennis; Cramer, Duncan

• ISBN13: 9780130173140
• ISBN10: 0130173142
• Edition: 2nd
• Format: Paperback
• Copyright: 1999-12-01
• Publisher: Prentice Hall

Summary

An Introduction to Statistics in Psychology is the simplest approach to the wide range of elementary, intermediate and advanced statistics needed by undergraduate (and postgraduate) students in Psychology. It is designed to meet their needs at all stages in their studies. Together with the Guide to Computing Statistics with SPSS for Windows, the book provides a complete package aiding students not only to select and compute appropriate tests for their data, but also to interpret the statistics and report their findings.
This comprehensive text is written in an accessible and jargon free way. Short chapters ensure its suitability for modular study by allowing the instructor to tailor the material to their students needs.
Complex mathematics is kept to a minimum and concepts that are often difficult to grasp are explained step-by-step using a wide variety of examples.

Author Biography

Duncan Cramer is Reader in Psychology at the Department of Social Sciences at the University of Loughborough.

Table of Contents

Introduction

Why You Need Statistics

Describing Variables

Tables and Diagrams

Describing Variables Numerically

Averages, Variation and Spread

Shapes of Distributions of Scores

Standard Deviations

The Standard Unit of Measurement in Statistics

Relationships Between Two or More Variables

Diagrams and Tables

Correlation Coefficients

Pearson Correlation and Spearman's Rho

Regression

Prediction with Precision

Samples and Populations

Generalising and Inferring

Statistical Significance for the Correlation Coefficient

A Practical Introduction to Statistical Inference

Standard Error: The Standard Deviation of the Means of Samples

T-Test: Comparing Two Samples of Correlated/Related Scores

The T-Test: Comparing Two Groups of Unrelated/Uncorrelated Scores

Chi-Squared Differences Between Samples of Frequency Data

Probity

Reporting Significance Levels Succintly

One-Tabled versus Two-Tabled Significance Testing

Ranking Tests: Non-Parametric Statistics

The Varience Ratio Test

The F Ratio to Compare Two Variances

Analysis of Variance (ANOVA)

Introduction to the One-Way Unrelated or Uncorrelated Anova

Analysis of Variance for Correlated Scores or Repeated Measures

Two-Way Analysis of Variations for Unrelated/Uncorrelated Scores

Two Experiments for the Price of One? Multiple Comparisons in ANOVA

Just Where do the Differences Lie? More on the Analysis of Variance (ANOVA)

Special Variants of the Approach

Statistics and the Analysis of Experiments

Partial Correlation

Spurious Correlation

Third Variables

Suppressor Variables

Factor Analysis

Simplifying Complex Data

Multiple Regression and Multiple Correlation

Path Analysis

The Analysis of a Questionnaire/Survey Project

Statistical Power Analysis

Do My Findings Matter?

Table of Contents provided by Publisher. All Rights Reserved.