HEC — RS&GIS Curricula 2005
48
Data Processing And Analysis: Basic concepts of data processing:
Computer representation, Data Matrix, Data Storage Data Processing flow:
Editing, Coding, Handling Blank Responses, Coding, Categorization,
Converting, Weighting, Storing etc.,
Alternative processing flows,
University data analysis, Measurement of central tendency, Measurement
of dispersion,
Hypothesis Testing, Bavaria data analysis, Linear
Correlation, Simple Regression, The Chi-Square Test, The Cross-Tabular
Tables,
Elaboration of relationships, Multivariate data analysis:
Interdependence Methods, Factor analysis, Cluster analysis,
multidimensional analysis, Multivariate data analysis: Dependence
methods, Multiple Regressions, Analysis of Variance & Covariance,
Discriminate analysis.
Research Project Proposal: Rationale for
the study defining the problem,
Research Objectives, Information needs, Research design, Data collection
procedure, Data processing & analysis,
Research Team and its profile,
Budget, Time Table
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