Research Methods

Challenges in hypothesis formulation: to reject or accept?

A hypothesis starts out with a researcher having initial hunches with he/she attempting to answer a specific research question. Watson (n.d. cited Bryman and Bell, 2011) and Newby, 2010 defines a hypothesis as a testing of the possible relationship between two or more variables in order to answer a research speculation. To accept or to […]

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Drivers for analysis: factor or cluster?

Factor analysis and cluster analysis both function as powerful multivariate statistic tools that assist the researchers to explore the homogeneity and relationships among variables or subjects (Gorman and Primavera, 2012). Yet they are distinctly different. Only if one understands one’s driver for analysis, as well as the strengths and limits of the two methods, can

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Testing hypothesis: methods, confidence and significance.

A hypothesis, defined by Bryman and Bell (2011) is “an informed speculation, which is set up to be tested, about the possible relationship between two more variables”. It is frequently deduced from the theory and is tested (Ibid). When a hypothesis is suggested, statistics are used to determine the probability of the given hypothesis being

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Trustworthiness in qualitative data collection and analysis

Criticisms of the lack of objectivity and generalizability are often associated with the qualitative method (Phillimore and Goodson, 2004). Extracting and analysing qualitative data is not a straightforward process due to the nature of the method. Furthermore, unlike the analysis of quantitative approach, there is not a clear method to develop the data collected (Bryman,

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Research Design

Research design can be thought of as the structure of research — it is the “glue” that holds all of the elements in a research project together. We often describe a design using a concise notation that enables us to summarize a complex design structure efficiently. What are the “elements” that a design includes? They

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Grounded theory as sub-set of qualitative analyses

Qualitative data analysis, which will be referred in the latter contexts as QDA, is defined by Lewins et al. (2010) as a range of processes “whereby we move from the qualitative data that have been collected into some form of explanation, understanding or interpretation” of the people, phenomenon and the situations that have been investigated.

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Presumptions and premises underpinning decisions during initial qualitative research design; philosophical considerations projected onto sample or vice versa? By Euodia Ong

Presumptions and premises underpinning decisions during initial qualitative research design; philosophical considerations projected onto sample or vice versa? By Euodia Ong Bryman (2012, p.46) defines research design as a “framework for the collection and analysis of data”. In addition, Saunders et al. (2009) recognises research design an involvement between a combination of methods, strategies and

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Implicit assumptions guide choice of qualitative method: how and why do numerous and distinct methods demonstrate a preference over others. By Vivian Yang

Implicit assumptions guide choice of qualitative method: how and why do numerous and distinct methods demonstrate a preference over others. By Vivian Yang Introduction Qualitative research, as opposed to the other paradigms are commonly seen as a naturalistic and interpretative approach that emphasises on words rather than numbers (Bryman and Bell, 2011). Despite the fact

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