Page 318 - Contributed Paper Session (CPS) - Volume 6
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CPS1939 Josefina V. A. et al.






















                     The lecture includes the production process of gender-related indicators as
                  given in the flowchart below.
                     Before  presenting  the  topic  on  identifying  gender  indicators,  the  term
                  ‘variable’ is defined and further enhanced by its two types:  qualitative and
                  quantitative variables.  This is followed by the discussion of the different levels
                  of measuring the variable namely, nominal, ordinal, interval, and ratio. The
                  term  ‘indicator’  is  likewise  defined,  with  several  SDG  indicators  used  as
                  illustrative  examples.    The  indicator  may  come  in  the  form  of  ratio,  rates,
                  proportions, percentages, mean, and median.
                     Discussion  of  the  different  methods  of  data  collection  include  surveys
                  (personal interview, self-administered questionnaire, and time-use surveys),
                  use of administrative data, and registration.  For each method, the advantages
                  and disadvantages are given.
                     On the topic of gender analysis, it is explained that this is the systematic
                  collection and examination of information on gender differences and social
                  relations in order to identify, understand and address inequalities based on
                  gender.    There  is  discussion  of  the  different  summary  measures  like  rates,
                  ratios,  proportions,  percentages,  mean,  median,  standard  deviation,
                  coefficient of variation, and skewness.  Each formula has an explanation but
                  the emphasis is on the properties of the summary measures and interpretation
                  of results.  It distinguishes proportions from percentages since most of the
                  SDG indicator formulas are multiplied by 100 but are called proportions and
                  not  percentages.    There  is  provision  of  examples  of  MS  Excel  outputs
                  calculating the different summary measures.
                     The  last  topic  dwells  on  the  different  guidelines  for  presenting  gender
                  statistics.  It begins with organizing the data by constructing the frequency
                  distribution and histogram using MS Excel.  Focus is on knowing the shape of
                  the data set and its implications.  There is discussion of several types of charts
                  like line, vertical and horizontal bars, pie, pictograph, and maps.  Emphasis is
                  on presentation guidelines, focus of the chart, and data requirement.

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