In the HghLBO profile, boredom and enjoyment lose nearly all predictive power for persistence, though they predict persistence in full-sample and multigroup analyses¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · checked against its sources 2026-10-22 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q2 i? Mixture regression predicting Persistence, Uncertain Control, and Failure Avoidance shows profile-specific breakdown of key emotion–outcome relations in the high-boredom profile. → Dirk Tempelaar · Alexandra Niculescu 2026

Evidence¶

Dirk Tempelaar · Alexandra Niculescu 2026¶

Dirk Tempelaar · Alexandra Niculescu. (2026). Testing the Relative Universalism of Psychological Theories: A Person-Centered Analysis of Control-Value Theory. Educational Psychology Review. https://doi.org/10.1007/s10648-026-10155-2

q2 · i? · associational · r2

Mixture regression models predicting three motivational outcomes (Persistence, Uncertain Control, Failure Avoidance) from CVT components. The article reports full-sample explained variance of 12.5% (Failure Avoidance) to 20% (Persistence) and 26% (Uncertain Control), with latent-profile models roughly halving explained variance.

"For example, in the HghLBO profile, boredom and enjoyment—key predictors of persistence in the full-sample and multigroup analyses—lost nearly all predictive power."

Discussion¶

Learner Variables¶

• Achievement Emotions — predictor: learners who differ on it differ in outcomes
• Interest — predictor: learners who differ on it differ in outcomes
• Motivation — predictor: learners who differ on it differ in outcomes

Related Claims¶

• The high-boredom (HghLBO) profile deviates from the linear control–emotion trend, showing elevated boredom and reduced enjoyment relative to its academic-control level — related
• Latent profile analysis of four learning-related achievement emotions yields a five-class solution: four academic-control gradient profiles plus a distinct high-boredom profile — related
• Explained variance of CVT emotion models falls below 15% within latent profiles versus a median above 30% in grouping analyses, beyond what variance restriction explains — related
• Nonlinear CVT extensions show cubic control terms with negative coefficients for negative emotions in the full sample, but the coefficient's sign differs across latent profiles — related
• CVT's control–anxiety relation breaks down across latent emotional profiles, with unstandardized coefficients ranging from −0.292 to +0.024 including non-significant positive effects — a narrower finding that bears on this claim
• CVT structural relations are largely stable across gender and prior-education groupings, supporting relative universalism under variable-centered tests — related
• Climate-emotion associations and the enjoyment-participation indirect effect hold when controlling for topic emotions and discussion frequency, but some emotion-outcome paths do not — related
• Including control and value variables substantially reduced the effects of student- and class-level achievement on enjoyment, consistent with control-value theory — related
• Teacher enjoyment and student enjoyment in mathematics classrooms are positively related even after controlling for students' prior-year enjoyment — related