Search results for " Imputation"

showing 3 items of 23 documents

Systematic handling of missing data in complex study designs : experiences from the Health 2000 and 2011 Surveys

2016

We present a systematic approach to the practical and comprehensive handling of missing data motivated by our experiences of analyzing longitudinal survey data. We consider the Health 2000 and 2011 Surveys (BRIF8901) where increased non-response and non-participation from 2000 to 2011 was a major issue. The model assumptions involved in the complex sampling design, repeated measurements design, non-participation mechanisms and associations are presented graphically using methodology previously defined as a causal model with design, i.e. a functional causal model extended with the study design. This tool forces the statistician to make the study design and the missing-data mechanism explicit…

Statistics and Probabilitymultiple imputationComputer sciencecomputer.software_genre01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicinenon-responseSampling design030212 general & internal medicine0101 mathematicsCausal modelta112Clinical study designInverse probability weightingSampling (statistics)non-participationMissing dataData sciencedoubly robust methodsSurvey data collectionData miningStatistics Probability and Uncertaintycomputerinverse probability weightingStatisticiancausal model with designJournal of Applied Statistics
researchProduct

Analysis and evaluation of cell imputation

2008

incomplete datasovelluksettilastotiedeanalyysicell imputationregressionimputointiarviointi
researchProduct

Factors Influencing Teachers’ Use of ICT in Class: Evidence from a Multilevel Logistic Model

2022

Information and Communication Technologies (ICTs) have become a key factor in the educational context, especially in the aftermath of the COVID-19 pandemic, and, correctly implemented, can help to improve academic performance. The aim of this research was to analyse the factors that influence teachers’ decisions to use ICT more- or less frequently to carry out tasks and exercises in their classes. To this end, we estimated a multilevel logistic model with census data from the individualized evaluation of students of the Community of Madrid (Spain) carried out at the end of the 2018–2019 academic year in primary and secondary education. Additionally, we applied multiple imputation techniques…

multiple imputationTecnologia de la informacióICTlogistic regressionGeneral MathematicsICT; logistic regression; multilevel or hierarchical model; multiple imputation; teachingComputer Science (miscellaneous)ComputingMilieux_COMPUTERSANDEDUCATIONUNESCO::CIENCIAS ECONÓMICASmultilevel or hierarchical modelEngineering (miscellaneous)teachingMathematics; Volume 10; Issue 5; Pages: 799
researchProduct