Participants' ratings of how similar curiosity and interest are did not predict classifier accuracy¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Likert similarity/difference ratings had no main effect on absolute or relative classifier accuracy and did not interact with definition type. → Donnellan 2021

Evidence¶

Donnellan 2021¶

Donnellan, E., Aslan, S., Fastrich, G. M., & Murayama, K. (2021). How Are Curiosity and Interest Different? Naïve Bayes Classification of People's Beliefs. Educational Psychology Review. https://doi.org/10.1007/s10648-021-09622-9

q3 · i? · associational · r2

Probit (absolute) and linear (relative) regression models on main test data, with standard errors corrected for data dependency, found the similarity rating predicted neither accuracy measure; the article reports "no effect on classifier accuracy for either definition type" with the printed coefficients. No effect size is printed.

"The rating had no effect on classifier accuracy for either definition type (no main effect on absolute, b = 0.007, SE = 0.038, z = 0.186, p = .852; relative, b =- 0.011, SE = 0.028, z = -0.411, p = .681"

Discussion¶

Related Claims¶

• The non-expert-trained classifier also distinguishes expert definitions of curiosity and interest above chance — related
• Frequently used word stems such as \"can\", \"want\", \"thing\" and \"feel\" carry no discriminative value between curiosity and interest definitions — related
• Education and age of English acquisition moderated classifier accuracy by definition type in the main test data — related
• A Naïve Bayes classifier distinguishes free-text definitions of curiosity and interest at above-chance accuracy on unseen data — related