The combination of age, education, and RWH explains 16% of variance in speech graph attributes, with short- and long-range recurrences explained only by their combination and the RWH coefficient compensating for the aging effect¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q2
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Canonical correlations between the set {age, education, RWH} and the set {RE, LCC, LSC} were significant and explained 16% of the variance. → Malcorra 2022 q2 i? Short- and long-range recurrences were explained only by the combination of age, education, and RWH, not by any variable in isolation; the strength of RWH's coefficient compensated for the aging effect. → Malcorra 2022 (2)

Evidence¶

Malcorra 2022¶

Malcorra, B. L. C., Mota, N. B., Weissheimer, J., Schilling, L. P., Wilson, M. A. & Hübner, L. C. (2022). Reading and writing habits compensate for aging effects in speech connectedness. npj Science of Learning. https://doi.org/10.1038/s41539-022-00129-8

q2 · i? · associational · r2

Canonical correlation analysis associating two sets of variables (age, education, RWH versus RE, LCC, LSC) on the 118-participant narrative data, reported in Fig. 1. The article reports "This explained 16% of the variance"; no standardized effect size in d/r/η² form is printed.

"There were signi ficant canonical correlations between the combination of age, education, and RWH with the three graph attributes. This explained 16% of the variance"

Malcorra 2022 (2)¶

Malcorra, B. L. C., Mota, N. B., Weissheimer, J., Schilling, L. P., Wilson, M. A. & Hübner, L. C. (2022). Reading and writing habits compensate for aging effects in speech connectedness. npj Science of Learning. https://doi.org/10.1038/s41539-022-00129-8

q2 · i? · associational · r2

The same canonical analysis showed the graph attributes were explained only by the joint set of social/age variables; LCC and RWH "had higher coef ficients and co-varied in the same direction," while RE co-varied with age and in opposition to RWH and education.

"Therefore, short- and long-range recurrences were only explained by the combination of age, education, and RWH and not by any of these variables in isolation."

Discussion¶

Related Claims¶

• Advancing age correlates with more short-range recurrences and less speech connectedness in oral narratives of typical older adults, but these correlations lose significance when corrected for education and reading and writing habits — related
• Reading and writing habits correlate negatively with short-range recurrences and positively with speech connectedness (LCC), remaining significant when corrected for age — related
• Education correlates positively with speech connectedness (LCC) in typical older adults, remaining significant when corrected for age but losing significance when corrected for reading and writing habits — related
• In this sample, age correlated negatively with education and not significantly with RWH, while education correlated positively with RWH (R = 0.58) — related
• School enrollment is associated with narrative connectedness development: the RE-decrease/LCC-LSC-increase dynamic was interrupted by mid-year vacations and resumed after return to school. — related
• Single-point connectedness measures from three stories are stable across the study period. — related