ON THE SAMPLING THEORY OF RELIABILITY ESTIMATION.

Abstract

The paper is intended as a contribution to the sampling theory of reliability estimation when a test has been divided into two, not necessarily parallel, parts. Under normality assumptions, a strict t -test of a point hypothesis about the coefficient alpha parameter is derived. The test is then converted to yield confidence intervals for alpha. These techniques remain applicable even when the initial distributional assumption is considerably relaxed. The methods developed here are complementary to certain large sample techniques of the same intent. Worked examples are appended by way of illustration. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1969
Accession Number
AD0688429

Entities

People

  • Walter Kristof

Organizations

  • Educational Testing Service

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Computing-Related Activities
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Intervals
  • Mathematical Analysis
  • Mathematics
  • Normality
  • Reliability
  • Sampling
  • Statistical Analysis

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.