Handling missing responses in psychometrics: Methods and software

S Dai - Psych, 2021 - mdpi.com
The presence of missing responses in assessment settings is inevitable and may yield
biased parameter estimates in psychometric modeling if ignored or handled improperly …

Handling missing data in item response theory. Assessing the accuracy of a multiple imputation procedure based on latent class analysis

I Sulis, M Porcu - Journal of Classification, 2017 - Springer
A critical issue in analyzing multi-item scales is missing data treatment. Previous studies on
this topic in the framework of item response theory have shown that imputation procedures …

Assessing divergences in mathematics and reading achievement in Italian primary schools: A proposal of adjusted indicators of school effectiveness

I Sulis, M Porcu - Social Indicators Research, 2015 - Springer
This research aims to reach four main objectives by identifying plausible factors influencing
Italian fifth grade pupils' achievement in mathematics and reading:(1) to assess the …

Fuzzy KC Clustering Imputation for Missing Not At Random Data

MA Malmi Jr - 2023 - search.proquest.com
Research has a variety of difficulties, especially when involving human subjects, and one of
the most prevalent is the issue of missing data. Missing data will always be present in …

[引用][C] 分类变量缺失数据处理方法有效性的比较研究

肖亚明, 陈永杰, 王玉鹏, 刘美娜 - 中国卫生统计, 2016