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8/12/2019 Data Collection Methods (4)
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Compilation and interpretation of primaryand secondary sources of information.
The integration of different sources willconsolidate the write up of the report.
DATA COLLECTION
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SOURCES OF INFORMATION
Primary SourceData is collected
by
researcher himself
Data is gathered
through questionnaire,
interviews,
observations etc.
Secondary SourceData collected,
compiled or
written by other
researchers eg. books,
journals, newspapers
Any reference must
be acknowledged
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STEPS TO COLLECT DATA
DATA ANALYSIS AND INTERPRETATION
REVIEW & COMPILE SECONDARY SOURCE INFORMATION(Referred to in the BACKGROUND/ INTRODUCTION section of report)
PLAN & DESIGN DATA COLLECTION INSTRUMENTSTO GATHER PRIMARY INFORMATION
(Referred to in the FINDINGS, CONCLUSIONS &
RECOMMENDATIONS sections of report)
DATA COLLECTION
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METHODS USED
TO COLLECT
PRIMARY SOURCE DATA
1. Interviews2. Questionnaires
3. Survey
4. Experimentation
5. Case Study6. Observation
However, for a small-scale study, the most commonly used
methods are interviews, survey questionnaires and observations.
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Effective way
of gatheringinformation
INTERVIEW
Involves verbal
and non-verbalcommunications
Can be conductedface to face, by telephone,
online or through mail
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Steps To An Effective Interview
Prepare your interview schedule
Select your subjects/ key informants
Conduct the interview
Analyze and interpret data collected from the interview
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The most common
data collection instrument
SurveyQuestionnaire
Useful to collect
quantitative and qualitativeinformation
Should contain 3 elements:
1. Introductionto explain the objectives
2. Instructionsmust be clear, simple language & short
3. User-friendlyavoid difficult or ambiguous questions
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2 Basic Types of survey
questions:
1. Open-ended Questions
Free-response
(Text Open End)
Fill-in relevant
information
2. Close-ended Questions
Dichotomous question
Multiple-choice
Rank
Scale
Categorical
Numerical
Note: For specific examples and students activities on each question style,
please refer to the notes on Data Collection in the e-learning.
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Steps To An Effective Survey Questionnaire
Prepare your survey questions(Formulate & choose types of questions, order them, write instructions, make copies)
Select your respondents/samplingRandom/Selected
Administer the survey questionnaire(date, venue, time )
Analyze and interpret data collected
Tabulate data collected(Statistical analysis-frequency/mean/correlation/% )
A sample of complete survey questionnaire
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Observe verbal &
non-verbal communication,
surrounding atmosphere,
culture & situation
Observations
Need to keep
meticulous records of
the observations
Can be done through discussions,
observations of habits, rituals,
review of documentation,
experiments
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Steps To An Effective Observation
Determine what needs to be observed(Plan, prepare checklist, how to record data)
Select your participantsRandom/Selected
Conduct the observation(venue, duration, recording materials, take photographs )
Analyze and interpret data collected
Compile data collected
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DATA ANALYSIS
3. In a small scale study, the most common forms of statisticalanalysis presented are:
Frequency
Mean
Percentage
1. To analyse data from interviews and observation, use
Summary sheet
Checklist
2. To analyse data from questionnaires, use
Manually
SPSS
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DATA INTERPRETATION
1. It involves 2 terms
Results presentation of data/findings (statistics)
Discussion interpretation of data/findings
2. Things to consider when interpreting your data:
Interpret findings based on the purpose andobjectives of your study
Relate the findings to real life context
Use persuasive language to convince your readers
to see the research from your point of view. Order your interpretation to highlight the most important
findings
Include limitations to your research.
Use simple, clear language