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SPSS Syntax for Missing Value Imputation in Test and Questionnaire Data Joost R. van Ginkel and L. Andries van der Ark, Department of Methodology and Statistics, Tilburg University Description ...
]). In order to address this challenge, the present study aims to provide guidance on handling missing values in the MCQ by evaluating different imputation approaches that emphasize ease of implementation ...
Maximization algorithm in SPSS to impute missing values and to test the robustness of our approach. We did not impute missing outcome values [42]. Model specification. To identify predictors in the development ...
% for training/validating and 20% for testing . We ran the Multivariate Imputation by Chained Equations (MICE) algorithm [42] to impute missing training data, setting the number of iterations equal to 10, and used ...
between 0 and 1, with higher values indicating that the data are more suitable for EFA.[49–51] Finally, a significant (P < 0.05) Bartlett’s test of sphericity also indicates the factorability of the data ...
, technical difficulties (e.g., a broken test DVD), or other reasons. To maximize the use of available data in creating a target sample for the planned analyses, we imputed missing Letter Word Identification ...
with a restricted maximum likelihood solution to repeated measures analyses under the missing -at-random assumption. A p- value less than 0.05 was set as the significant level. IBM SPSS ver. 28.0 was used to analyze ...
) was normalized. For scale-dependent calculations (inverse weighting), z-transformed (0–10) variables were used. Missing standard deviations for the differences were imputed according to the procedure described ...
) questionnaire , the Minimental test , and the General Practician assessment of Cognition test (GPCOG). Mild cognitive impairment was defined as a score under 26 points according to the MOCA and a score above 24 ...
). Because of missing values on other variables, its mean and SD were not exactly 0 and 1. e Birth weight was internally standardized using the complete sample (leading to a standardized score). Because ...
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