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Identifying Occurrences By Collating Data

Decent Essays

Quantitative research can be described as explaining occurrences by collating data that can be analysed using mathematical methods (Muijs, 2004). Quantitative data is considered important as it is unbiased and reliable, is able to look at relationships between variables identifying cause and effect in controlled situations (Newman and Benz, 1998).
The quantitative article being appraised is by Sniehotta et al (2006) using the Critical Appraisal Skills Programme (CASP) framework tool (CASP 2014). Burls (2009) suggest that CASP is a useful tool to help develop skills to critically appraise and understand scientific research evidence using a simple checklist of questions. Additionally the National Health Service (NHS) resource department recommend CASP as a useful tool for critiquing medical research papers (Havard 2007).
CASP considers 3 wide issues that need to be considered when appraising an article, these are broken down into 11 questions the enable thought processes to answer the issues systematically.
A longitudinal experimental study was used over a period of 10 weeks to monitor the long term effectiveness with two planning interventions and a control group. Longitudinal experimental studies are beneficial in allowing the researcher the ability to observe changes over time and evaluate cause and effect of change (Teti, 2005). Furthermore they allow for clear focus and legitimacy by allowing a clear end result to be observed from a clear focus. However there may be a

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