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Assistance in Data Analysis

6 years ago in Data collection By Sonali Jain

Data analysis

Hello people, i am working on a research which is about obesity. I have completed till RM chapter. It was going so well but now i need to analyse my data collected and i have no idea about it. Should i look for some softwares online or i should ask for my supervisor’s help, or i should do it by my own. I was so happy before this that my research is going so well but now it has become headache for me.
Please someone help me with this. Give me some tips that i should concentrate on before starting data analysis and also, while doing it. Everybody is saying it is very easy but nobody is ready to help me.
Pls help.

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By Jessica Answered 6 years ago

First, please tell me what type of data you have collected. Is it qualitative or quantitative? Your data analysis technique should be according to the form in which you have collected data. According to me, you should look for some software online rather than asking for somebody’s help. Look for research papers online using the same method for data collection which you have used and then find the data analysis techniques used in those papers. http://www.nhpf.org/library/background-papers/BP_Obesity_7-03.pdf https://deepblue.lib.umich.edu/bitstream/handle/2027.42/85274/egoyert.pdf In my opinion, you should opt for a software appropriate for data analysis of your research.

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By Anubhav Kumar Answered 6 years ago

Hey, don’t be so worried, i can help you with this. I know everything right now must be confusing for you but no issues i will tell you data analysis method for both qualitative and quantitative study as well. I am giving you the list of software packages for both types of research, read about them and then choose one which is perfect according to your RM. Qualitative Analysis: Atlas.ti, QDA Miner, Dedoose, NVivo. Quantitative Analysis: spss, stata, SAS.

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By Keshav Verma Answered 6 years ago

You are so tensed, OMG. keep calm. I am sharing a link here, basically, it’s a PDF with every information regarding data analysis. Look into it carefully. http://www.cal.org/twi/EvalToolkit/appendix/toolkit13_sec9.pdf

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