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Public Health Forum

A Forum to discuss Public Health Issues in Pakistan

Welcome to the most comprehensive portal on Community Medicine/ Public Health in Pakistan. This website contains content rich information for Medical Students, Post Graduates in Public Health, Researchers and Fellows in Public Health, and encompasses all super specialties of Public Health. The site is maintained by Dr Nayyar R. Kazmi

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2 posters

    Quantitative Data Analysis!

    Dr Abu Zar Taizai
    Dr Abu Zar Taizai
    Dr Abu Zar Taizai


    Aries Number of posts : 1163
    Age : 58
    Location : Pabbi Nowshera
    Job : Co-ordinator DHIS: District NowsheraAnd Coordinator Public Health
    Registration date : 2008-03-09
    • Post n°1

    Quantitative Data Analysis! Empty Quantitative Data Analysis!

    Post by Dr Abu Zar Taizai Mon Feb 01, 2010 6:19 pm

    Data Analysis



    When beginning data analysis, we should consider which of our data are quantitative and which are qualitative

    Quantitative data are expressed in numbers and they are usually presented in frequency tables. From your data master sheets you can easily derive totals for each

    Variable / question, count the number of different answers obtained, and present the information in frequency table









    Questionnaire number
    Q1
    Q2
    Q3
    Q4
    Q5

    Age

    years
    Sex
    Cough
    Smoking
    Number

    Of Cigarettes

    M
    F
    NR
    Yes
    No
    NR
    Yes
    No
    NR


    12

    1
    2
    1



    1



    1

    2











    3











    4











    5











    6











    7













    When analyzing quantitative data it is important to consider the aim of our study. Is it to?



    Describe variables?

    For example the distribution of teenage pregnancies in a certain population

    Look for differences between groups

    For example: differences between old setters and newcomers in an area, with respect to income or health status.



    Determine association between variables?

    For example the association between work satisfaction of nurses and the numbers of staff meetings over the past.

    Cross tabulations are the appropriate tool to summarize and analyze the data



    The most common significant tests are:

    Student’s t-test and chi-square test to determine the differences between groups if observations are unpaired

    The paired t-test and McNemar’s chi square test to determine differences between groups of paired observation
    • Back to top
    zahidsalarzai
    zahidsalarzai
    zahidsalarzai


    Aries Number of posts : 58
    Age : 47
    Registration date : 2008-11-16
    • Post n°2

    Quantitative Data Analysis! Empty Re: Quantitative Data Analysis!

    Post by zahidsalarzai Tue Feb 02, 2010 6:50 am

    Very Good Dr.Abuzar
    • Back to top
    Dr Abu Zar Taizai
    Dr Abu Zar Taizai
    Dr Abu Zar Taizai


    Aries Number of posts : 1163
    Age : 58
    Location : Pabbi Nowshera
    Job : Co-ordinator DHIS: District NowsheraAnd Coordinator Public Health
    Registration date : 2008-03-09
    • Post n°3

    Quantitative Data Analysis! Empty Re: Quantitative Data Analysis!

    Post by Dr Abu Zar Taizai Tue Feb 02, 2010 7:01 am

    Data Analysis



    When beginning data analysis, we should consider which of our data are quantitative and which are qualitative

    Quantitative data are expressed in numbers and they are usually presented in frequency tables. From your data master sheets you can easily derive totals for each

    Variable / question, count the number of different answers obtained, and present the information in frequency table









    Questionnaire number
    Q1
    Q2
    Q3
    Q4
    Q5

    Age

    years
    Sex
    Cough
    Smoking
    Number

    Of Cigarettes

    M
    F
    NR
    Yes
    No
    NR
    Yes
    No
    NR


    12

    1
    20
    1



    1
    1




    2    		30


    1

    1


    1


    6

    3
    43
    1


    1

    		1


    		10

    4

    1

    		1



    1


    6

    5
    		1


    		1



    		1



    6
    		1


    		1




    1


    Total
    		5
    		1

    		5
    		1

    		4

    2




    When analyzing quantitative data it is important to consider the aim of our study. Is it to?



    Describe variables?

    For example the distribution of teenage pregnancies in a certain population

    Look for differences between groups

    For example: differences between old setters and newcomers in an area, with respect to income or health status.



    Determine association between variables?

    For example the association between work satisfaction of nurses and the numbers of staff meetings over the past.

    Cross tabulations are the appropriate tool to summarize and analyze the data



    The most common significant tests are:

    Student’s t-test and chi-square test to determine the differences between groups if observations are unpaired

    The paired t-test and McNemar’s chi square test to determine differences between groups of paired observation
    • Back to top
    Dr Abu Zar Taizai
    Dr Abu Zar Taizai
    Dr Abu Zar Taizai


    Aries Number of posts : 1163
    Age : 58
    Location : Pabbi Nowshera
    Job : Co-ordinator DHIS: District NowsheraAnd Coordinator Public Health
    Registration date : 2008-03-09
    • Post n°4

    Quantitative Data Analysis! Empty Re: Quantitative Data Analysis!

    Post by Dr Abu Zar Taizai Tue Feb 02, 2010 7:13 am

    Data Analysis



    When beginning data analysis, we should consider which of our data are quantitative and which are qualitative

    Quantitative data are expressed in numbers and they are usually presented in frequency tables. From your data master sheets you can easily derive totals for each

    Variable / question, count the number of different answers obtained, and present the information in frequency table

    F=Female M= Male NR = No Response










    Questionnaire number
    Q1
    Q2
    Q3
    Q4
    Q5

    Age

    years
    Sex
    Cough
    Smoking
    Number

    Of Cigarettes

    M
    F
    NR
    Yes
    No
    NR
    Yes
    No
    NR


    12

    1
    20
    1



    1

    1




    2    		30


    1

    1


    1


    6

    3
    43
    1


    		1
    		1


    		10

    4
    45
    1

    		1



    1


    6

    5    		39
    		1


    		1



    		1



    6
    50    		1


    		1




    1


    Total
    		5
    		1

    		4
    		1
    		1
    		4

    2

    34




    When analyzing quantitative data it is important to consider the aim of our study. Is it to?



    Describe variables?

    For example the distribution of teenage pregnancies in a certain population

    Look for differences between groups

    For example: differences between old setters and newcomers in an area, with respect to income or health status.



    Determine association between variables?

    For example the association between work satisfaction of nurses and the numbers of staff meetings over the past.

    Cross tabulations are the appropriate tool to summarize and analyze the data



    The most common significant tests are:

    Student’s t-test and chi-square test to determine the differences between groups if observations are unpaired

    The paired t-test and McNemar’s chi square test to determine differences between groups of paired observation
    • Back to top
    Sponsored content

    Sponsored content


    • Post n°5

    Quantitative Data Analysis! Empty Re: Quantitative Data Analysis!

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