intro to computing research
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Intro to Computing Research. Research Onion. Research Philosophy Research Approach Research Strategies Time Horizons Data Collection. Research Philosophy. - PowerPoint PPT PresentationTRANSCRIPT
Intro to Computing Research
Research Philosophy
Research Approach
Research Strategies
Time Horizons
Data Collection
Research Onion
Research Philosophy
• Your research philosophy depends on the way that you think about knowledge is developed or created, how we gain understanding of things (“epistemology”). • Your way of thinking will affect the way you go about doing research.
• Generally, there are two key research philosophies, the positivism and phenomenology.
Research Philosophy
Research Approach
Research Strategies
Time Horizons
Data Collection
Phenomenology
Positivism
• You are working with an observable reality. Research can produce laws. Results can be generalised, similar to those produced by natural scientists.
• You are working objectively, with little or no personal interpretation of the data.
• You need a structured methodology to gain quantitative data which is replicable and can be analysed using stats.
Philosophy - Positivism
• You are researching human behaviour. This may be too complex to follow a definite law in the same way as the natural sciences.
• Generalisability is not of crucial importance, since we are focussing on a particular problem or situation
• Phenomenology highlights the details of the situation to understand a reality working behind them.
Philosophy - Phenomenology
Research Philosophy
Research Approach
Research Strategies
Time Horizons
Data Collection
Phenomenology
Positivism
Theory
Hypotheses
Data
Confirmation
Theory
PatternsData
Tentative Hypotheses
Data
Deductive Inductive
The Research Approach
Deductive approach: testing theory
Inductive approach: building theory
Deductive Approach Inductive Approach
Scientific principles Moving from theory to data The need to explain causal
relationships between variables The collection of quantitative
data The application of controls to
ensure data validity A highly structured approach Researcher independence of
what is being researched The necessity to select samples
of sufficient size in order to generalise conclusions
Gaining an understanding of the meaning humans attach to events
A close understanding of the research context
The collection of qualitative data A more flexible structure to
permit changes of research emphasis as the research progresses
A realisation that the researcher is part of the research process
Less concern with the need to generalise
Deductive vs. Inductive
Research Philosophy
Research Approach
Research Strategies
Time Horizons
Data Collection
Phenomenology
Positivism
Deductive
Inductive
Research S
trategies
• The survey method is usually associated with the deductive approach – surveys are “experiments”.
• It allows the collection of a large amount of data from a sizeable population in a highly economical way.
• It is often conducted on questionnaire to answer those ‘What’ and ‘How’ questions. Its data are standardised and so allow easy comparison.
• It gives you more control over the research process, however, it takes time to design and pilot a good questionnaire.
Survey Method
The Experimental Method is a classical form of research that comes from the natural science. The process usually involves: 1.The definition of a theoretical hypothesis.
2.Select a sample of a population.
3.Allocate samples to different experimental conditions.
4. Introduce planned change on one variable (the “independent” variable).
5.Measure the change of an associated “dependent” variable.
6.Control of other variables.
Experimental Method
Research Philosophy
Research Approach
Research Strategies
Time Horizons
Data Collection
Phenomenology
Deductive
Inductive
Experiment
Survey
Case Study
Focus Group
Ethnography
Grounded Research
Positivism
Time Horizons
• Consider the amount of time you have, do you want your research to be a ‘snapshot’ or a ‘diary’?
• The snapshot reflects the cross-sectional studies.
• The diary reflects the longitudinal studies
Research Philosophy
Research Approach
Research Strategies
Time Horizons
Data Collection
Positivism
Phenomenology
Deductive
Inductive
Longitudinal
Cross Sectional
Experiment
Survey
Case Study
Focus Group
Ethnography
Grounded Research
Types of Data
• Quantitative
• Qualitative
Research Philosophy
Research Approach
Research Strategies
Time Horizons
Data Collection
Positivism
Phenomenology
Deductive
Inductive
Longitudinal
Cross Sectional
Quantitative
Qualitative
Experiment
Survey
Case Study
Focus Group
Ethnography
Grounded Research
Wish to do Research
Research Topic,
Questions
Literature Review
Design Research
Approaches
Data Collection
Negotiate Access
Data Analysis
ReportWriting
Report Submitting
Stages in a Research Project
What is a Computing Independent Study?
• Artefact – based– construction of an artefact– primary research on the artefact
• Research – based– secondary research via the literature.