[Missing data treatment method on cluster analysis]
by
Literature Review1
Criticism on Data Collection of Household Health Surveys1
Relative weight of responsiveness1
Domain weights1
Broader Health System and the Responsiveness1
Sources of information2
Translation, validity and reliability2
Universality of domains2
Non-users3
Suggestions for Analysing Survey Data3
Missing Data Treatment4
“Ad-hoc” Methods5
Multiple Imputation6
Conditional Gaussian7
Chained Equations7
Methods for Monotone Data sets8
Issues with Imputation9
Methods of Weighting9
Bayesian Approaches9
Cluster Analysis10
What is a cluster?10
Main Elements of Cluster Analysis12
Missing Data in Cluster Analysis12
Scope and Limitations18
Women Clusters Samples19
Interpretation20
Child Clusters Samples20
Interpretation20
Limitation21
Statement of the Problem21
Objective21
Importance22
Methodology23
Sudan Household Health Survey (SHHS)23
Sample Design23
Sampling frame and units of analysis24
Stratification24
Size and Allocation of Samples25
Sample selection procedures26
Estimation and weighting procedures29
Questionnaires29
Questionnaires Sample30
Data analysis31
Two-Step Cluster Analysis32
Assumptions of Data in Two-Step Cluster Analysis34
Two-Step Cluster Analysis Plots35
Two-Step Cluster Analysis Output35
References37
Literature Review
Criticism on Data Collection of Household Health Surveys
Household surveys performed by World Health Organisation (WHO) are often criticized for estimation of missing observations (Aalto 2000; Almeida et al. 2001; Williams 2000) and for the methodology for information collection (Blendon et al. 2001a; Navarro 2001; Almeida et al. 2001). Biasness in the information is also found in much criticism including the use of too small data for too many imputations, use of limited number of questions out of a large number of questions for indexing, inadequacy of the sample to represent the population, inherent flaws in method, and majority of key informants being the people of WHO (Williams 2005).
Relative weight of responsiveness
The framework of health surveys is often criticised by the commentators from regional consultations (WHO Regional Office for the Eastern Mediterranean 2001) of having responsiveness as it is relatively an important factor of household surveys.
Domain weights
In aggregating an overall responsiveness index, the relative weights of the seven domains were criticized by several commentators (WHO Regional Office for Africa 2001 WHO)
Broader Health System and the Responsiveness
Regional consultations (WHO Regional Office for South-East Asia 2001) have been always commenting the inability of survey responsiveness to represent the health system with its broader boundaries including the services of health promotion and protection like public access to information (Oswaldo Cruz Foundation 2000; Travassos 2001; Ugá et al. 2001).
Sources of information
Whether the users of a health system can better judge it or the key informants? This question has been arising by critiques (Blendon et al. 2001a). Canvassing the information from population crucially requires measure of responsiveness as well as satisfaction (Blendon et al. 2001b).
Translation, validity and reliability
Translation of the concept of cross-culture validity and responsiveness is described in the question raised by Aalto (2000). Issues raised by several regional consultations included the cross cultural validation of the household health surveys (WHO Regional Office for the Western Pacific 2001). In comparison with the modules owing to the abstractness of the involved concepts, translation responsiveness might be a slightly more difficult problem (Almeida et al. 200; WHO Regional Office for the Western Pacific 2001).
The responsiveness key informant instrument has been criticized by critiques and participants in regional consultations for the availability of standard instrument psychometric data (Aalto 2000; WHO Regional Office for South-East Asia 2001). Aalto (2000) and the regional consultations WPRO and SEARO indicated that any subsequent responsiveness questionnaire instruments ...