Pregled bibliografske jedinice broj: 543571
Influence of Different Methods of Data Imputation on Parameter Estimation – A Monte Carlo Simulation
Influence of Different Methods of Data Imputation on Parameter Estimation – A Monte Carlo Simulation // Review of Psychology / Buško, Vesna (ur.).
Zagreb: Naklada Slap, 2010. str. 147-147 (predavanje, nije recenziran, sažetak, znanstveni)
CROSBI ID: 543571 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Influence of Different Methods of Data Imputation on Parameter Estimation – A Monte Carlo Simulation
Autori
Rebernjak, Blaž ; Urch, Dražen
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Review of Psychology
/ Buško, Vesna - Zagreb : Naklada Slap, 2010, 147-147
Skup
9th Alps-Adria Psychology Conference
Mjesto i datum
Klagenfurt, Austrija, 16.09.2010. - 18.09.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Nije recenziran
Ključne riječi
missing data; parameter estimation; OLS regression
Sažetak
In this study, we examined the influence of missing data imputation methods on OLS regression analysis parameter estimates. We used two data imputation methods: Deterministic Regression Imputation and Multiple Imputation ; we also estimated parameter values using listwise deletion for comparison. Estimated parameters were compared with regard to precision and bias. Effects of several factors were examined: degree of missingness, average intercorrelation among predictors as well as proportion of missing data in a given set. R software was used to perform a series of simulations and each method was tested using the same correlation matrices. Different methods are compared and practical implications are discussed.
Izvorni jezik
Engleski
Znanstvena područja
Psihologija
POVEZANOST RADA
Projekti:
130-1301683-1402 - Mjerenje latentnih psiholoških svojstava: Dispozicije i procesi ličnosti (Buško, Vesna, MZOS ) ( CroRIS)
Ustanove:
Filozofski fakultet, Zagreb
Profili:
Blaž Rebernjak
(autor)
