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Data collection
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Data Collection
Jacky Griffith/Anji Waring
Faculty of Health and Social Work
Methods of Data Collection
Objectives:
To describe different methods of data collection
To discuss the strengths and limitations of the different methods
Data Collection
Existing data
New data
Biophysiological tests
Self report data
Observation data
Data Collection
Dimensions of quantitative data
Structured
Quantifiable
Objective
Biophysiologic and physical variables
In vivo – performed on or with people or living organisms
In vitro – data gathered and then subject to laboratory analysis
◦ Gives absolute values
◦ Tend to be accurate
◦ Easily standardised
Self Report Methods
Unstructured – qualitative approach
Structured - quantitative approach
Instrument: questionnaire or interview schedule
May use tool such as GHQ, BDI which are common to a lot of studies
May design new tool which needs validating
May design something specific to this study eg survey questionnaire
Can be done by interview with interviewer coding responses, questionnaire given out by researcher, by post
Questionnaires/Scales
Tools or instruments designed to measure or explore specific issues or attitudes - not just a set of questions.
Types: Questions : -
◦ Closed questions
◦ Open questions
Response Categories:-
◦ Likert
◦ Visual analogue
Questionnaire Design
Aim:
◦ To measure what intend to measure
◦ To ensure respondent can complete the questionnaire.
Consider:
◦ wording
◦ information level required
◦ format of questions
◦ response categories
◦ length of questionnaire
◦ method of administration
Strengths & Limitations
Strengths
less costly
access large sample
distance
anonymity
less threatening
data easy to analyse
Limitations
response rate
coverage
ability to complete
social desirability
Interviews
Types:
structured
semi-structured
unstructured
Method
face to face
telephone
Practical Considerations
Design of interview schedule
Training of interviewers
Place of interview
Timing of interview
Recording the information collected
◦ manually
◦ audiotape
◦ videotape
Strengths & Limitations
Strengths
quick results
clarification
response rate
additional information
less superficial
Limitations
practicalities
expensive
analysis
bias
social desirability
Observation
When
aim to describe what happening in setting
need overview of activity/behaviour
establish main issues as prelude to further work.
Target Areas
individual characteristics
non-verbal communication
type of verbal communication
behaviour
Types
Practical considerations
Planning
◦ structured /unstructured
◦ what to sample
◦ when to sample
◦ how to record
◦ time available
Strengths and Limitations
Strengths
first hand recording
control over data collected
Limitations
difficult to arrange
observer bias
time
Hawthorne effect
training
Pilot Studies
Small scale version of the main study.
Time & cost built into the proposal
Carried out prior to main study to:
◦ test new methods
◦ check feasibility of design
◦ ensure appropriateness of sample
◦ identify potential pitfalls
Modify aspects of main study according to results from pilot
Triangulation
Use of more than one method for collecting or interpreting data
Types:
Methodological
Theoretical
Data
Investigator