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2.4 Prepare a Dummy Table for Statistical Analysis
After having obtained consent from all the relevant authorities, and also assessed the
feasibility of establishing the registry (i.e. by ensuring a sufficiently high quality of data
collected by an adequate sample size of the registry data), then the subsequent step is to
prepare a dummy table which displays the overall format and structure of layout of the results
to be presented. Dummy tables are actually empty tables containing only the variable items
along with their statistical measures, and which will only be filled by actual data after data
analysis has been performed (see Figure 2.1).
Using the analogy of building a house – constructing a dummy table for a data set is
similar to drawing a schematic plan for the house. In other words, the dummy table shall
display the probable final output of a data set which is designed to answer the objective(s) of
the study. A dummy table can be designed as long as all the variable items and their units of
measurement, along with the specific statistical analyses to be conducted on the variables are
known (for example: to measure age in years and then to calculate its mean and its standard
deviation).
Researchers will first have to decide the appropriate statistical measures to be reported
and then to select the best format to present the results in a most informative way. An
important way to get some idea of how to prepare a dummy table is to adopt the overall
structure and format of dummy tables which commonly appear in previous research
publications, which are often found in standard research reports or scientific journals. In
addition, there are also some standard ways of designing a dummy table for presenting both
descriptive and inferential statistics which have already been proposed by scholars (Lang &
Secic, 1997).
A good dummy table serves several important functions, namely : (i) to confirm that
the stated hypothesis/objective is doable and achievable, (ii) to provide a template for