Literature DB >> 11577903

G theory and the reliability of psychophysiological measures: a tutorial.

F D Nocera1, F Ferlazzo, V Borghi.   

Abstract

For some years, the limits of classic reliability theory have been recognized in favor of the Generalizability Theory, which deals simultaneously with multiple sources of error. This measurement model can be particularly useful when applied to research in cognitive psychophysiology. Indeed, studies in this field often deal with estimated measures whose reliability is rarely taken into account. In this paper, we report two generalizability studies in order to investigate the usefulness of G theory in providing information about the reliability of experimental results. The first was carried out on P300 measured during an oddball task, and the second was carried out on ERPs recorded during a recognition memory task. As expected, results showed that P300 modulation was more reliable than ERP memory modulation. This suggests that G theory can be a useful tool to estimate the reliability of psychophysiological findings, complementing and extending results from conventional analyses.

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Year:  2001        PMID: 11577903

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  4 in total

1.  Reliability and credibility of progress test criteria developed by alumni, faculty, and mixed alumni-faculty judge panels.

Authors:  H Glenn Anderson; Arthur A Nelson
Journal:  Am J Pharm Educ       Date:  2011-12-15       Impact factor: 2.047

2.  A capability model of individual differences in frontal EEG asymmetry.

Authors:  James A Coan; John J B Allen; Patrick E McKnight
Journal:  Biol Psychol       Date:  2005-11-28       Impact factor: 3.251

3.  Consistency of sentence intelligibility across difficult listening situations.

Authors:  Eric W Healy; Allen A Montgomery
Journal:  J Speech Lang Hear Res       Date:  2006-08       Impact factor: 2.297

4.  Reliability of an fMRI paradigm for emotional processing in a multisite longitudinal study.

Authors:  Dylan G Gee; Sarah C McEwen; Jennifer K Forsyth; Kristen M Haut; Carrie E Bearden; Jean Addington; Bradley Goodyear; Kristin S Cadenhead; Heline Mirzakhanian; Barbara A Cornblatt; Doreen Olvet; Daniel H Mathalon; Thomas H McGlashan; Diana O Perkins; Aysenil Belger; Larry J Seidman; Heidi Thermenos; Ming T Tsuang; Theo G M van Erp; Elaine F Walker; Stephan Hamann; Scott W Woods; Todd Constable; Tyrone D Cannon
Journal:  Hum Brain Mapp       Date:  2015-03-28       Impact factor: 5.038

  4 in total

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