EDSPE 511 Study Guide: Computing Data Collection Reliability Estimates - Prof. Owen White, Study notes of School management&administration

This study guide for edspe 511 introduces various methods for estimating data collection reliability, discussing their applications and differences in achieving reliability estimates. Topics include frequency ratio, point-by-point agreement, occurrence and nonoccurrence reliability, weighted combined reliability, pearson product moment correlation reliability, phi correlation reliability, and kappa.

Typology: Study notes

Pre 2010

Uploaded on 03/10/2009

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EDSPE 511 Study Guide White (2006) Methods for Computing Reliability
Generally
Try to develop an appreciation for: (1) the range of methods available for
computing data collection reliability estimates; (2) how different methods can lead to
huge differences in the size of the reliability estimate achieved; and (3) when each
method of computing data collection reliability might be most useful in the research
process.
Terms
Frequency ratio / overall
session reliability
Point-by-point agreement
Occurrence reliability
Non-occurrence reliability
Weighted combined
occurrence & non-
occurrence reliability
Pearson product moment
correlation reliability
Phi (nonparametric)
correlation reliability
Kappa
Questions
1. Name one approach for estimating data collection reliability that would be
particularly useful when developing behavioral definitions or coding systems.
2. When should you use “occurrence” reliability estimates rather than “non-
occurrence” reliability estimates (if, indeed, you needed to select one or the
other)?
3. Why do you think most researchers prefer to report “overall session” reliability
estimates instead of one of the others? (Note: White doesn’t really address this
issue in this text, but mentions it in class — especially if someone asks.)

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EDSPE 511 Study Guide White (2006) Methods for Computing Reliability Generally Try to develop an appreciation for: (1) the range of methods available for computing data collection reliability estimates; (2) how different methods can lead to huge differences in the size of the reliability estimate achieved; and (3) when each method of computing data collection reliability might be most useful in the research process. Terms Frequency ratio / overall session reliability Point-by-point agreement Occurrence reliability Non-occurrence reliability Weighted combined occurrence & non- occurrence reliability Pearson product moment correlation reliability Phi (nonparametric) correlation reliability Kappa Questions

  1. Name one approach for estimating data collection reliability that would be particularly useful when developing behavioral definitions or coding systems.
  2. When should you use “occurrence” reliability estimates rather than “non- occurrence” reliability estimates (if, indeed, you needed to select one or the other)?
  3. Why do you think most researchers prefer to report “overall session” reliability estimates instead of one of the others? (Note: White doesn’t really address this issue in this text, but mentions it in class — especially if someone asks.)