Outline and explain the strengths and weaknesses of quantitative research by Colette Rugman https://padlet.com/cru1/quantitativequestionc QUESTION C en-us 2019-01-28 13:52:28 UTC 2021-09-02 14:58:44 UTC hello@padlet.com https://padlet.net/icons/png/1f939-2640.png Introduction - Define, show range of methods etc.. cru1 https://padlet.com/cru1/quantitativequestionc/wish/368294083 Use item to show fully what question asks for in item ( 2 points ) ]]> 2019-06-19 11:33:41 UTC https://padlet.com/cru1/quantitativequestionc/wish/368294083 Paragraph 2 cru1 https://padlet.com/cru1/quantitativequestionc/wish/368294174 Explain overall strengths - range and use terms 

Use 2 studies to show 2 points per study . 
In example below stress that same questions are asked on crime = reliable and measureable.  Trends on victim rates easily measured.  ]]> 2019-06-19 11:34:32 UTC https://padlet.com/cru1/quantitativequestionc/wish/368294174 Paragraph 3 cru1 https://padlet.com/cru1/quantitativequestionc/wish/368294268 Explain overall weaknesses - range and use terms 
Use 2 studies to show at least 2 points per study ]]> 2019-06-19 11:35:21 UTC https://padlet.com/cru1/quantitativequestionc/wish/368294268 INTRODUCTION https://padlet.com/cru1/quantitativequestionc/wish/368303812 Quantitative data is a type of research that gathers numerical data. 
Positivists prefer to use this data as they consider it more objective in nature  and they deem it more scientific. 
Examples of methods which collect quantitative data are surveys, structured interviews, overt observation sand non participant observations. ]]> 2019-06-19 12:47:50 UTC https://padlet.com/cru1/quantitativequestionc/wish/368303812 Paragraph 2- Strengths https://padlet.com/cru1/quantitativequestionc/wish/368303983 Quantitative data is more reliable it gives statistics which can be easily measured and operationalized giving more consistent findings.

]]> 2019-06-19 12:49:01 UTC https://padlet.com/cru1/quantitativequestionc/wish/368303983 Quantitative is high in reliability because a closed fixed questionnaire is common for this type of research with everyone getting the same questionnaire which means the results could be measured and compare the answers given. K 0'Shea did this by using a closed, fixed questionnaire with all his participants. https://padlet.com/cru1/quantitativequestionc/wish/368304162

]]> 2019-06-19 12:50:27 UTC https://padlet.com/cru1/quantitativequestionc/wish/368304162 Disadvantages to Quantitative research is that the operationalization could make the results in valid because the researcher could have different ways of defining terms given for example the British Crime survey, because https://padlet.com/cru1/quantitativequestionc/wish/368305421 participants might not know if they have been a victim of crime e.g. they may have been a victim of cyber crime and not even know or it may not be given as an option.
Not all crimes are measured - imposition.
Crimes may be operationalized differently - validity concerns

]]> 2019-06-19 12:58:51 UTC https://padlet.com/cru1/quantitativequestionc/wish/368305421 PARAGRAPH 3 https://padlet.com/cru1/quantitativequestionc/wish/368305845 Quantitative data can reveal trends and correlations however cannot reveal valid reasons. Interpretivists argue that quantitative data is not able to give a deep, valid or real picture of society as it does not get context behind the answer. ]]> 2019-06-19 13:01:00 UTC https://padlet.com/cru1/quantitativequestionc/wish/368305845 general weaknesses https://padlet.com/cru1/quantitativequestionc/wish/368306673
Quantitative research is low in validity because it doesn't look into reasons behind participant answers when surveys are most commonly they restrict the answers a person can give because they use fixed questions and responses.]]> 2019-06-19 13:06:26 UTC https://padlet.com/cru1/quantitativequestionc/wish/368306673 STRENGTHS https://padlet.com/cru1/quantitativequestionc/wish/368307010 - Findings can be generalised if selection process if well-designed and sample is representative of study population.  
- Relatively easy to analyse.
-Data can be very consistent, precise and reliable.]]> 2019-06-19 13:08:43 UTC https://padlet.com/cru1/quantitativequestionc/wish/368307010 general strengths https://padlet.com/cru1/quantitativequestionc/wish/368307057
They usually use large samples meaning they get a wide range of responses from places across the country improving generalisability]]> 2019-06-19 13:09:04 UTC https://padlet.com/cru1/quantitativequestionc/wish/368307057 Statistics can be used in research - So Charles Murray used statistics on lone parent hood, educational failure and criminality. He found correlations that shaped his conclusion that lone parenthood caused problematic behavior lined to underclass cru1 https://padlet.com/cru1/quantitativequestionc/wish/368493039 2019-06-20 13:49:49 UTC https://padlet.com/cru1/quantitativequestionc/wish/368493039 Statistics can be invalid. So Charles Murray's definition of a lone parent family may be problematic. Many are not fatherless, hence the conclusion that a lack of male role model is a factor creating social problems is invalid. More context on families and the process that created the statistics is useful. See this in crime topic too ! cru1 https://padlet.com/cru1/quantitativequestionc/wish/368494069 2019-06-20 13:54:35 UTC https://padlet.com/cru1/quantitativequestionc/wish/368494069