Generalizability Theory

Brennan, Robert L.

doi:10.1007/978-1-4757-3456-0

Cited by 1,074 publications

(1,240 citation statements)

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“…Fakat klasik test kuramı bütün hata kaynaklarını tek değişkenlik kaynağından gelen hatalar olarak ele alır ve hata kaynaklarının birbirini etkilemediğini kabul eder. Klasik test kuramının aksine genellenebilirlik kuramı ise ölçme işlemindeki birçok hata kaynağını ve her bir hata kaynağının etkileşimlerini ele alan kavramsal çerçeve ve yöntem içermektedir (Brennan, 2001;Cronbach, Gleser, Nanda ve Rajaratnam, 1972;Shavelson ve Webb, 1991). Böylece genellenebilirlik kuramıyla performans belirleme çalışmalarında daha kapsamlı ve gerçekçi hata betimlemesi yapılabilir.…”

Section: Introductionunclassified

Comparison of Balanced and Unbalanced Designs Based on Generalizability Theory via the Data of Intramuscular Injection Station

Yilmaz

Tavşancil

2014

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Section: Introductionunclassified

Comparison of Balanced and Unbalanced Designs Based on Generalizability Theory via the Data of Intramuscular Injection Station

Yilmaz

Tavşancil

2014

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“…When facets are treated as random the uncertainties about generalizability conditions increase and generalizability coefficients decrease: they are thus conservative estimates of reliability (Brennan, 2001). Furthermore, generalizability analyses allow the estimation of absolute and relative reliability coefficients.…”

Section: Resultsmentioning

confidence: 99%

“…Generalizability analyses allow researchers to quantify the relative contribution of specific sources of error on total measurement error. This is important since identifying which sources of error most influence a tool's reliability can pinpoint where adjustments should be made to improve measurement (Brennan, 2001). Here two measurement conditions, or "facets", as they are called in generalizability theory, were considered as potential sources of error: raters and rating occasions.…”

Section: Estimating the Observation Tool's Reliability: A Generalizabmentioning

confidence: 99%

Improving the measurement of neighbourhood characteristics through systematic observation: Inequalities in smoking as a case study

2012

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Systematic observation is increasingly used as a method to measure neighbourhood characteristics thought to influence health inequalities. This article reports on the theory-driven development of a new observation tool composed of reflective indicators of neighbourhood characteristics believed to influence inequalities in smoking. We also report the results of generalizability analyses conducted to estimate the reliability (inter-rater reliability and temporal stability) of the observation tool. We use the reliability results to reflect on the quality of the measures and on the theoretical anchors of the tool. We conclude by making recommendations to improve measures collected through systematic observation.

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“…어떤 사안에 대해 아직 공식적으로 추인된 의견이 없을 때 전문가들의 합의와 논 쟁을 통해 좋은 결론을 도출해낼 수 있다는 것이 델파이조사의 아이디어이다 (Gordon, 1994). Tomasik, 2010;Graham 등, 2003) Brennan, 2001).…”

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Reliability of Delphi survey for traditional knowledge on agricultural resources

Lee¹,

Song²,

Kim³

2015

Journal of the Korean Data and Information Science Society

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In the knowledge and information age, to discover and protect Intellectual Properties would be very important for their economic value as a major growth engine. This study evaluated the reliability of a Delphi survey conducted by experts to assess the value of agricultural resources knowledge obtained from literature reviews and field interviews. Delphi method is collecting the opinions of experts for several rounds repeatedly, in the next round the experts have chance to modify their opinion. Scores between two rounds are highly correlated and standard deviations are declined for second round to imply that some correction of their evaluations are made. To check reliability of Delphi survey of two rounds Cronbach's reliability coefficient and Generalizability coefficient are derived. The Cronbach alpha's supported the reliability of the method, but the Generalizability analysis revealed some unexpected results while checking the variance components of sources of measurement errors. Despite the increased reliability coefficients, the deviations between the raters are increased which means that additional rounds are required to get consensus, the goal of Delphi research.

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Generalizability Theory

Cited by 1,074 publications

References 0 publications

Comparison of Balanced and Unbalanced Designs Based on Generalizability Theory via the Data of Intramuscular Injection Station

Comparison of Balanced and Unbalanced Designs Based on Generalizability Theory via the Data of Intramuscular Injection Station

Improving the measurement of neighbourhood characteristics through systematic observation: Inequalities in smoking as a case study

Reliability of Delphi survey for traditional knowledge on agricultural resources

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