The credibility of surveys relies significantly on the completeness of the data collected from representative samples. Missing data is a serious problem in survey research. The existence of variables with missing information negatively affects the research results and findings. This study examines the prevalence of missing data in surveys, and additionally compares its incidence between genders. A total of 119 relevant surveys from different countries represented the sample of this study. Results indicated that, on average, 38% of data was lost in the surveys analyzed. Males and females were very similar with respect to the extent of missing data, with an average of 37% and 38% respectively. Overall, results show that only 62% of the initia...
Missing data are characterized as a portion of the qualities in the data set are either lost or not ...
Abstract. When handling missing data, a researcher should be aware of the mechanism underly-ing the ...
When handling missing data, a researcher should be aware of the mechanism underlying the missingness...
The credibility of surveys relies significantly on the completeness of the data collected from repre...
Background: The objectives of this systematic review are to examine how researchers report missing d...
BACKGROUND:: The objectives of this systematic review are to examine how researchers report missing ...
For growth and development in different fields, research and studies are extremely important. For en...
Evidence-based research in health care has been developed well in recent years. One of the biggest c...
Introduction. Missing data is a common problem in research and can produce severely misleading analy...
Nonresponse (or missing data) is often encountered in large-scale surveys. To enable the behavioural...
Missing data is an eternal problem in data analysis. It is widely recognised that data is costly to ...
BACKGROUND: Analysis can be problematic in research when data are missing or erroneous. Various meth...
Missing-data is a problem that occurs frequently in survey data. Missing-data can result in bias and...
<p>We present a systematic approach to the practical and comprehensive handling of missing data moti...
Missing data are characterized as a portion of the qualities in the data set are either lost or not ...
Missing data are characterized as a portion of the qualities in the data set are either lost or not ...
Abstract. When handling missing data, a researcher should be aware of the mechanism underly-ing the ...
When handling missing data, a researcher should be aware of the mechanism underlying the missingness...
The credibility of surveys relies significantly on the completeness of the data collected from repre...
Background: The objectives of this systematic review are to examine how researchers report missing d...
BACKGROUND:: The objectives of this systematic review are to examine how researchers report missing ...
For growth and development in different fields, research and studies are extremely important. For en...
Evidence-based research in health care has been developed well in recent years. One of the biggest c...
Introduction. Missing data is a common problem in research and can produce severely misleading analy...
Nonresponse (or missing data) is often encountered in large-scale surveys. To enable the behavioural...
Missing data is an eternal problem in data analysis. It is widely recognised that data is costly to ...
BACKGROUND: Analysis can be problematic in research when data are missing or erroneous. Various meth...
Missing-data is a problem that occurs frequently in survey data. Missing-data can result in bias and...
<p>We present a systematic approach to the practical and comprehensive handling of missing data moti...
Missing data are characterized as a portion of the qualities in the data set are either lost or not ...
Missing data are characterized as a portion of the qualities in the data set are either lost or not ...
Abstract. When handling missing data, a researcher should be aware of the mechanism underly-ing the ...
When handling missing data, a researcher should be aware of the mechanism underlying the missingness...