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Recurrence Quantification Analysis of Personal Statements from Applicants to a Physical Therapy Doctoral Program: A Cross-Sectional Analysis.

Authors: John H, Hollman; Darren Q, Calley; Beth A, Cloud-Biebl; Aaron B, Rindflesch; Joy M, Oberhaus; Sydney R, Hollman; David A, Krause;

Recurrence Quantification Analysis of Personal Statements from Applicants to a Physical Therapy Doctoral Program: A Cross-Sectional Analysis.

Abstract

We examined lexical sophistication of written personal statements from physical therapy applicants to determine whether recurrence quantification analysis (RQA) indices distinguish higher- versus lower-scored candidates and correlate with other admissions variables.Written personal statements were extracted from 152 applications, coded numerically, and analyzed with RQA. Along with other RQA indices, determinism-representing predictability of words and phrases-was quantified. A receiver operating characteristic (ROC) curve analysis was used to examine discriminative validity of RQA indices to distinguish between top-10 and bottom-10 candidates. Correlation coefficients between RQA indices and other admissions variables (grade point averages, standardized exam, behavioral interview, and cumulative admissions scores) were also examined.Determinism in personal statements was lower in top-scored (mean 7.38%) than bottom-scored candidates (mean 11.29%, p = 0.015), differentiated between them with 70% sensitivity (95% CI 34.8%-93.3%) and 100% specificity (95% CI 69.2%-100%), and correlated negatively with candidates' behavioral interview scores (r = -0.168, p = 0.039).The greater expressive lexical sophistication characterized by lower determinism in personal statements provides information about candidates' writing proficiency as a component of their communication abilities that may not otherwise be assessed in traditional admissions variables.

Keywords

Cross-Sectional Studies, Writing, Humans, School Admission Criteria, Physical Therapy Modalities

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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