Quantitative Research Critique
Order Description
Assessment 1: Quаntitative Research Critique
Assessment 1: Quantitative Research Critique
Students will be given a data-set (e.g. British Crime Survey 2007-2008 оr similar), and asked tо рerfоrm a series of tasks on the data set and answer specific
questions. The tasks and questions form the marking criteria.
Article: ADHD and Personality Disordered Offenders
Attached Files:
Assignment Article – ADHD and personality disordered offenders
This is the ‘default article’ for Assignment 1 for those people wanting to use it.
Data Set: Low Birthweight
Attached Files:
Low Birthweight Data Excel
Low birth weight Doc
This is the ‘default data-set’ for Assignment 1 for those people wanting to use it
Marking Criteria
For the report markers will be looking for an awareness of and ability to:
• Provide in 500 words a description (what) and critique (why appropriate, limitations) of the statistical techniques used in a journal paper within your field of
research. This is the only part of Assessment One with a word count, but penalties as described in notes of guidance will be applied to the overall mark.
• Differentiate between different types of data
• Generation testable hypothesesIdentify and perform correct inferential tests
• Analysis and report quantitative output appropriately (accepting/rejecting hypotheses)
• Provide a short critique of the research design (e.g. limitations)
Marking Scheme
Distinction (70+)
An excellent pass. The report produces a very clear set of results, which indicate: an excellent understanding of statistical methods, the use of appropriate
techniques and generation of hypotheses, understanding of data, and the ability to draw the correct conclusions from the results.
Clear Pass (60-69)
The report produces a good set of results, which indicate a good understanding in most of the following areas: statistical methods, appropriates techniques, hypotheses
generation, data types, conclusions drawn from results.
Pass (50-59)
The report produces an acceptable set of results, but shows a limited / basic understanding in most of the following areas: statistical methods, appropriates
techniques, hypotheses generation, data types, conclusions drawn from results.
Fail (40-49)
The report produces a poor set of results, which shows limited / poor understanding in most of the following areas: statistical methods, appropriates techniques,
hypotheses generation, data types, conclusions drawn from results. Significant parts of the above might be missing completely.
Clear Fail (0-39)
The report is poorly formulated with very limited results, which shows hardly any understanding of the following areas: statistical methods, appropriates techniques,
hypotheses generation, data types, conclusions drawn from results.