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Conducting a Participatory Situation Analysis of.pdf - Global HIV ...

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Example <strong>of</strong> Data Using Categorical<br />

Variables<br />

A survey <strong>of</strong> seven orphans in a community asks them<br />

their status (i.e., maternal, paternal, or double).A<br />

possible set <strong>of</strong> responses includes: Maternal = 1,<br />

Paternal = 4, Double = 2.<br />

Calculation:<br />

Orphans due to Maternal Death = 14.3%<br />

Orphans due to Paternal Death = 57.1%<br />

Orphan due to Death <strong>of</strong> Both Parents = 28.6%<br />

Total =100.0%<br />

Discussion: Almost 60 percent (57.1%) <strong>of</strong> orphans in<br />

the community are orphans due to paternal death<br />

and more than one out <strong>of</strong> every four (28.6%) orphans<br />

have lost both parents.<br />

Ratio variable values have a meaningful “zero” equivalent<br />

(e.g., weight and height).<br />

It can be stated that one child weighs twice as much as<br />

another child; however, it cannot be stated that one child<br />

is twice as smart as another. In most cases, a situation<br />

analysis involves ratio types <strong>of</strong> data.<br />

If the variables are continuous, any <strong>of</strong> the following five<br />

calculations can be used to summarize the distribution<br />

<strong>of</strong> the data:<br />

• Mean—Average <strong>of</strong> all numbers<br />

• Median—Half <strong>of</strong> the data are above this point and<br />

half are below<br />

• Mode—Most frequently occurring number<br />

• Minimum—Lowest value or number<br />

• Maximum—Highest value or number<br />

• Range—Maximum minus minimum<br />

Note: If the distribution is skewed (e.g., household<br />

income), then the median is the most appropriate measure.<br />

The categories <strong>of</strong> the variables used in the questionnaires<br />

in this Guide (see Appendix H) are listed below.<br />

Frequency and frequency distribution can be calculated<br />

for each <strong>of</strong> the variable categories (Note: this list is not<br />

exhaustive).<br />

Head <strong>of</strong> Household Questionnaire:<br />

• Socioeconomic characteristics <strong>of</strong> households<br />

• Home relationships<br />

• Children’s education<br />

• Psychosocial issues and emotional well-being<br />

• Household access to support services<br />

• Perceptions and experiences with <strong>HIV</strong>/AIDS<br />

• Head <strong>of</strong> household communication with OVC<br />

• Basic needs <strong>of</strong> OVC<br />

Orphans and Vulnerable Children Questionnaires:<br />

• Demographic information<br />

• Education<br />

• Food and fluid intake<br />

• Household relationships—OVC with guardian,<br />

OVC with siblings, OVC with non-siblings<br />

• Background information on father—illness and death<br />

• Visits with father<br />

Example <strong>of</strong> Data Using Continuous<br />

Variables<br />

A survey <strong>of</strong> seven orphans or vulnerable children a<br />

community asks their ages (completed years).The<br />

seven responses are: 0 2 4 3 1 5 5<br />

Calculation:<br />

• Number <strong>of</strong> orphans surveyed = 7<br />

• Mean = 2.9 years<br />

• Median = 3 years<br />

• Mode = 5 years<br />

• Minimum = 0 years<br />

• Maximum = 5 years<br />

• Range = 5 years<br />

Discussion: The average age <strong>of</strong> orphaned children in<br />

the community is 2.9 years (mean).The youngest is<br />

less than 1 year old (minimum).The oldest is 5 years<br />

old (maximum).Two orphans are 5 years old (mode).<br />

The median is 3 years, as 50% <strong>of</strong> the orphans are less<br />

than 3 years old and 50% are more than 3 years old.<br />

62<br />

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