Understanding Significance Testing

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Lawrence B. Mohr - University of Michigan, Ann Arbor, Center for the Improvement of Early Reading Achievement

Volume: 73

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research

80 pages | SAGE Publications, Inc

Significance testing - a core technique in statistics for hypothesis testing - is introduced in this volume. Mohr first reviews what is meant by sampling and probability distributions and then examines in-depth normal and t-tests of significance. The uses and misuses of significance testing are also explored.

Introduction

Some Definitions

The Sampling Distribution

Interval Estimation

Significance Testing

The Functions of the Test

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Lawrence B. Mohr

Professor Mohr is currently working on a theoretical paper in program evaluation called An Exploration in the Theory of Valuing and a research monograph called The Impacts of Sponsored Research Dollars on Academic Institutions. The next project will be an edited volume with critique called The Case Study As a Research Design in Social Science. More About Author

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