Pregled bibliografske jedinice broj: 655905
Partial Least Squares Regression Analysis: Example Of Motor Fitness Data
Partial Least Squares Regression Analysis: Example Of Motor Fitness Data // Hrvatski časopis za odgoj i obrazovanje, 14 (2012), 4; 917-932 (podatak o recenziji nije dostupan, prethodno priopćenje, znanstveni)
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Naslov
Partial Least Squares Regression Analysis: Example Of Motor Fitness Data
Autori
Šerbetar, Ivan
Izvornik
Hrvatski časopis za odgoj i obrazovanje (1848-5189) 14
(2012), 4;
917-932
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopćenje, znanstveni
Ključne riječi
partial least squares regression; PLS; modelling; anthropometric variables; motor fitness data prediction
Sažetak
Based on the research example, the article attempts to describe the partial least squares regression (PLS) as a tool used for modelling the explanatory variables for the prediction of the dependents. The research was carried out on the fitness data of 52 children, nine anthropometric variables were used as predictors, while the dependents were composed of five motor fitness tests. A two-component model was obtained where a small fraction of the dependent variation (R2Y = .20) was explained by predictors (R2X=.64). The Q2 indicator of the predictive capability of the model was rather low (.16). The main advantages of the PLS were demonstrated: the simultaneous handling of multiple independents and dependents.
Izvorni jezik
Engleski
Znanstvena područja
Pedagogija
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Social Science Citation Index (SSCI)
- SCI-EXP, SSCI i/ili A&HCI
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