Eta Squared and Partial Eta Squared as Measures of Effect Size in Educational Research.

By John T. E. Richardson. 2011

3,269 citations recorded by the source corpus.

Subfields: Education, Management Science and Operations Research, Social Psychology

View Paper: https://www.semanticscholar.org/paper/3342d116e76fc372c29454469439afbb50f035e0

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In Education

In Management Science and Operations Research

In Social Psychology

Citations in the corpus

Psychological factors associated with substance use initiation during the COVID-19 pandemic (2020, positive): “Partial eta squared (ηp2) served as an index of effect size of mean differences (Richardson, 2011); small = .01, medium = .06, and large = .14.”
Cross-Cultural Differences in a Global “Survey of World Views” (2015, background): “To assess how well individual items discriminate between different country samples, we report eta-squared coefficients, which reflects the “proportion of the variation in Y that is associated with membership of the different groups defined by X” (Richardson, 2011, p. 136).”
A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared (2019, background): “…these issues and focuses on the bias in a popular measure of standardized effect size: partial eta squared (η p 2 ; for an introduction, see, e.g., Richardson, 2011).1 The main strength of η p 2 is that it can be interpreted in the same manner as a squared partial correlation coefficient (pr 2)…”
Un sistema de clasificación de los diseños de investigación en psicología (2013, background): “…y eta cuadrado parcial, que coinciden en modelos ANOVA de un factor pero difieren en modelos ANOVA factoriales (véase Pierce, Block & Aguinis, 2004 y Richardson, 2011), (d) el escaso uso de los intervalos de confianza tanto para los estimadores de las pruebas estadísticas como para los tamaños…”
Insult, then Injury: Interpersonal and Institutional Betrayal Linked to Health and Dissociation (2017, background): “Effect sizes for each main effect are reported as partial Eta-squared (η2), which represents the proportion of variance in the outcome explained by the variable, while controlling for the effect of the other variable in the model (Richardson, 2011).”
Private Speech in Illiterate Adults: Cognitive Functions, Task Difficulty, and Literacy (2013, background): “However, most of the effect sizes for the nonsignificant analyses were very small, gp 2 \ .0588 (Richardson 2011).”
Student Motivation and Learning in Mathematics and Science: A Cluster Analysis (2016, background): “Effect size is large when ηp 2 value is more than .14 (Richardson, 2011).”
Students' level of boredom, boredom coping strategies, epistemic curiosity, and graded performance (2016, background): “The results demonstrated that the effects of demographic variables on the research variables were negligible, with partial eta-squared (h2p) coefficients ranged in magnitude from .00 to .04 (h2p .06; Richardson, 2011).”
Reflective journaling and metacognitive awareness: insights from a longitudinal study in higher education (2020, background): “However, while the ηp 2 result for Knowledge can be considered moderate, a large effect size was indicated for Regulation, when small, moderate, and large effects are reflected in values of ηp 2 equal to .0099, .0588, and .1379, respectively (Cohen, 1969, pp. 278–280; Richardson, 2011, p. 142).”
A Longitudinal Study of the Role of Reading Motivation in Primary Students’ Reading Comprehension: Implications for a Less Simple View of Reading (2016, background): “Effect sizes for these differences were medium to large as defined by Cohen (1988; also see Richardson, 2011, for a review) who indicated partial eta squared values of 0.01, 0.06, and 0.14, reflect small, medium, and large effects, respectively (see Table 4 for means and standard deviations for…”