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EXERCISE
Exercise on data triangulation
Evaluators can translate data triangulation knowledge into practice particularly in their
disciplines by creating one question that they would like to answer regarding student learning and
five possible data sources. In case that they might have to choose only some data sources to gain
the information, evaluators should assess strength and feasibility of data sources they identified.
th
st
Also, they should rank the evidence from most to least valuable (from 1 to 5 ) as well as to rate
the degree of difficulty of data collection (from difficult, moderate, and easy). As a result, they
can easily select only some sources by balancing their difficulties and their values.
Sample response:
Essay test
(for student) 2nd,
Self-assessment Easy Quizzes
(for students) (for community)
4th, Moderate 1st, Easy
How well do students
Class observation Interview
(for teachers) transfer prevention (for local officers)
3rd, Easy knowledge of infectious 5th, Difficult
disease to community?
Figure 11: An Example of Data Triangulation Designed by Workshop’s
Participants
In addition to dividing methods into qualitative, quantitative, and mixed groups, they
can also be categorized as direct, indirect and holistic assessments. Holistic assessment is a
complex assessment that is designed to take more nuanced and textured approach to students’
progress. It is often a combination of direct and indirect assessments. Evidence or
information, at least 2 sets of data, are collected from students.. Therefore, an evaluator or
assessor can gain an in-depth understanding of a particular case as it derives from multiple
aspects. Direct assessment tries to gather data of what students show and what they have
learned. It basically displays their knowledge and skills. Evidences from course work such as
project or tests of knowledge are examples of its main tools. Indirect assessment attempts to
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