The BPNSFS 3×2 six-facet structure (three needs × satisfaction/frustration) fits Australian school-leader data excellently and better than models collapsing valence¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? A 12-factor ESEM measurement model with the BPNSFS 3×2 structure, loading invariance and correlated uniquenesses showed excellent fit (RMSEA = .012; CFI = .991; TLI = .989) in 1,950 Australian school leaders. → Marsh 2025 q3 i? Nested alternatives collapsing satisfaction and frustration within needs, or across all needs, fit substantially worse than the 3×2 model. → Marsh 2025

Evidence¶

Marsh 2025¶

Marsh, H. W., Ryan, R. M., Dicke, T., Pekrun, R., Guo, J., Bradshaw, E. L., Reeve, J., Lüdtke, O., Clarke, T., & Waterschoot, J. (2025). Basic Psychological Needs Under Constrained Autonomy: A Substantive–Methodological Reflection and Analysis of School Leaders' Needs from a Self-Determination Theory Perspective. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10079-3

q3 · i? · associational · r2

Measurement-model analysis of two-wave survey data from 1,950 Australian school leaders. The 12-factor ESEM with target rotation showed excellent fit, with the article reporting "RMSEA = .012; CFI = .991; TLI = .989", target loadings M = .68, and small cross-loadings (M = .02).

"The best-fitting 3×2 model with loading invariance and correlated uniquenesses showed excellent fit (RMSEA = .012; CFI = .991; TLI = .989; Table 1). Target loadings were moderate–strong (M = .68; range = .41–.90) and cross-loadings were small (M = .02)."

Discussion¶

Related Claims¶

• Bivariate SDT-based predictions about BPNSFS correlates were largely upheld: valence predictions correct for 95.2% and content predictions for 91.4% of scored cases — related
• Classic two-facet MTMM analysis supports convergent and discriminant validity of the six BPNSFS facets across time — related
• Three-facet MTMM (content × valence × time) supports the SDT 3×2 architecture, with content the stronger separative force and 20 of 21 planned comparisons supported — a broader claim this one bears on
• Autonomy shows a strong content signal: 53 of 64 outcomes satisfy the a priori autonomy rule, with exceptions for self-efficacy (competence) and collegial support (relatedness) — related
• Students empirically distinguish autonomy dissatisfaction from autonomy satisfaction and autonomy frustration (3-factor ESEM solution) — related