Selecting Methods of Data Collection

Selecting Methods of Data Collection

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Topics covered
• Differences in methods of collecting data
• Major sources of information gathering
• Collecting data using primary sources
–Observation
–The interview
–The questionnaire
–Advantages and disadvantages
–Types of questions
–Formulating effective questions
• Constructing a research instrument in quantitative research
• Methods of data collection in qualitative research
• Collecting data using secondary sources
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Differences in methods of collecting data in
quantitative, qualitative and mixed methods
research
Quantitative, qualitative or mixed methods
classification depends on the answers to the following
questions:
• What philosophical approach is underpinning the
research approach?
• How was the information collected? Was the format
structured or unstructured/flexible or a combination
of the both?
• Were the questions or issues discussed during data
collection predetermined or developed during data
collection? authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Differences in methods of collecting data in
quantitative, qualitative and mixed methods
research continued
• How was the information gathered recorded? Was it
in a descriptive, narrative, categorical, quantitative
form or on a scale?
• How was the information analysed? Was it a
descriptive, categorical or numerical analysis?
• How will the findings be communicated? In a
descriptive or analytical manner?
• How many different methods were used in
undertaking the study?
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Insert Figure 9.1 Methods of data collection
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Major sources of information gathering
• Primary data: The researcher undertakes the
data collection
• Secondary data: The data is already available
and can be reanalysed
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Observation
Watching and listening to interactions
– Participant observation
– Non-participant observation
– Natural
– Controlled
Recording of observations:
• Narrative recording
• Categorical recording
• Recording on electronic devices
Effects that could affect observations:
• Hawthorne effect: Participants are aware of the observation and change
their behaviour
• Elevation effect: Researcher over-uses a particular scale for recording
• Halo effect: Researcher bias towards a authored by Stephanie Fleish pera ©r tiSAcGuEl ar participant
publications Ltd 2014
The interview
Questioning people
– Unstructured interviews: Freedom in structure,
content, wording and order of questions
– Structured interviews: Interview schedule
predetermines the questions, wording and order
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
The questionnaire
Written list of questions completed by the
respondent
– Mail or postal questionnaire (covering letter)
– Collective administration
– Online questionnaire
– Administration in a public place
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Choose between interview schedule and
questionnaire
Consider the following:
• The nature of the investigation
• The geographical distribution of the study
population
• The type of study population
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Strengths and weaknesses of questionnaires
Strengths
• Convenience:
– Saves time
• Inexpensive:
– Saves human and financial
resources
• Offer greater anonymity
– No face-to-face action
– Likelihood to obtain more
accurate information on
sensitive questions
Weaknesses
• Limited application
• Low response rate
• Self-selecting bias
• Lack of opportunity to clarify issues
• No opportunity for spontaneous
responses
• Responses may be influenced by
the response to other questions
• Others can influence the answers
• Responses cannot be supplemented
with other information
• authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Advantages and disadvantages of interviews
Advantages
• More appropriate for
complex situations
• Useful for collecting indepth
information
• Information can be
supplemented
• Questions can be explained
• Has a wider application
Disadvantages
• Time consuming and
expensive
• Quality of data depends on
– Quality of interaction
– Quality of interviewer
– Could vary when multiple
researchers are involved
• Possibility of researcher bias
• authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Types of questions
Open-ended questions
• Advantages:
– Provide in-depth information
– Greater variety of information
– No investigator bias
• Disadvantages
– Analysis is more difficult if
answers need to be classified
– Loss of information if respondents
cannot express themselves
– Possible interviewer bias
Closed questions
• Advantages:
– Easy to answer
– Easy to analyse due to readymade
categories
• Disadvantages:
– Information lacks depths and
variety
– Greater possibility of
investigator bias
– Answers are selected from a list
and may not reflect respondents
opinion
• authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Formulating effective questions
• Use easy and every day language
• Avoid ambiguous questions
• Avoid double-barrelled questions
• Avoid leading questions
• Avoid questions based on assumptions
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Constructing a research instrument in
quantitative research
• Personal and sensitive questions
• The order of the questions
• Pre-testing a research instrument
• Pre-requisites for data collection:
– Motivation to share required information
– Clear understanding of the questions
– Possession of the required information
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Methods of data collection in qualitative
research
• Unstructured interviews
• In-depth interviews
• Focus group interviews
• Narratives
• Oral histories
• Observation
authored by Stephanie Fleischer © SAGE
publications Ltd 2014
Collecting data using secondary sources
• Government or corporate websites
• Earlier research
• Personal records
• Mass media
Possible problems of secondary data:
• Validity and reliability
• Personal bias
• Availability
• Format
authored by Stephanie Fleischer © SAGE
publications Ltd 2014

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