Presentation is loading. Please wait.

Presentation is loading. Please wait.

Intro to Computing Research

Similar presentations


Presentation on theme: "Intro to Computing Research"— Presentation transcript:

1 Intro to Computing Research

2 Research Onion Research Philosophy Research Approach Strategies Time
Horizons Data Collection

3 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.

4 Positivism Research Philosophy Research Approach Strategies Time Horizons Data Collection Phenomenology

5 Philosophy - 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.

6 Philosophy - Phenomenology
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.

7 Positivism Research Philosophy Research Approach Strategies Time Horizons Data Collection Phenomenology

8 The Research Approach Deductive approach: testing theory
Hypotheses Data Confirmation Patterns Tentative Hypotheses Deductive Inductive Deductive approach: testing theory Inductive approach: building theory

9 Deductive vs. Inductive
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

10 Positivism Research Philosophy Research Approach Strategies Time Horizons Data Collection Deductive Inductive Phenomenology

11 Research Strategies

12 Survey Method 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.

13 Experimental Method The Experimental Method is a classical form of research that comes from the natural science. The process usually involves: The definition of a theoretical hypothesis. Select a sample of a population. Allocate samples to different experimental conditions. Introduce planned change on one variable (the “independent” variable). Measure the change of an associated “dependent” variable. Control of other variables.

14 Positivism Research Philosophy Research Approach Strategies Time Horizons Data Collection Deductive Experiment Survey Grounded Research Focus Group Case Study Ethnography Inductive Phenomenology

15 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

16 Positivism Research Philosophy Research Approach Strategies Time Horizons Data Collection Deductive Experiment Cross Sectional Survey Grounded Research Focus Group Longitudinal Case Study Ethnography Inductive Phenomenology

17 Types of Data Quantitative Qualitative

18 Positivism Research Philosophy Research Approach Strategies Time Horizons Data Collection Deductive Experiment Cross Sectional Survey Quantitative Grounded Research Qualitative Focus Group Longitudinal Case Study Ethnography Inductive Phenomenology

19 Stages in a Research Project
Wish to do Research Topic, Questions Literature Review Design Approaches Data Collection Negotiate Access Analysis Report Writing Submitting

20 What is a Computing Independent Study?
Artefact – based construction of an artefact primary research on the artefact Research – based secondary research via the literature.


Download ppt "Intro to Computing Research"

Similar presentations


Ads by Google