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D a t a A n a ly s is
        RWJF || GRC
A v a ila b le
                 S o ftw a re
• Quantitative

      R

    • SPSS

    • STATA

  Qualitative

    • NVivo

      Atlas.ti
T h e B ig P r o b le m
How do you ask a question that a computer can
answer?
A s k in g t h e r ig h t
         q u e s t io n
• Are you looking for descriptive statistics?

• Are you looking for confirmation/refutation of a
  hypothesis?
A s k in g t h e r ig h t
           q u e s t io n
• Descriptive statistics are perhaps
 the easiest to structure.

      Quantitative: Central
      tendency, quartiles, data
      range

    • Qualitative: Frequent words,
      reoccurring themes
A s k in g t h e r ig h t
         q u e s t io n
• Hypothesis testing requires
 additional steps

   • Formulate hypothesis
     prior to test, have a
     clear null and
     alternative established
A s k in g t h e r ig h t
      q u e s t io n



H0: There is no
difference/relationship

Ha: There is a
difference/relationship
A s k in g t h e r ig h t
      q u e s t io n


• Quantitative

     Regression

   • Is there a relationship between variable X and
     Y?
A s k in g t h e r ig h t
      q u e s t io n


• Quantitative

     Difference

   • Is there a difference between variable X and
     Y?
A s k in g t h e r ig h t
       q u e s t io n

Many problems with any kind of data analysis software
stem from impossible to answer questions.
S im p lif y
          Q u e s t io n s
Break your question down to individual steps, as small
as you can go.
S im p lif y
          Q u e s t io n s


“I need to test the GPA of students who scored below
a 26 on the ACT vs. those who scored above.”
S im p lif y
             Q u e s t io n s

• To answer this question, you need a software function
  that can order the data, split it, and test the variables
  you need.

• It can be hard to find one program that does all that -
  but it can be easier if you break the problem up into its
  components.
S im p lif y
            Q u e s t io n s
“I need to test the GPA of students who
scored below a 26 on the ACT vs. those
who scored above.”

•   Break the question down into individual steps:
          • Sort the data by lowest to highest ACT
          • Divide into ACT scores below 26 and
            scores above
          • Run a two-sample T-test on the GPA’s from
            each group.
S im p lif y
          Q u e s t io n s
Data analysis is a lot easier when each step is made
smaller.
C h o o s in g y o u r
         S o ftw a re


• Quantitative

     R

         • Pros: Most flexibility, free, customized
           software

           Cons: Very difficult to learn
C h o o s in g y o u r
         S o ftw a re


• Quantitative

     SPSS

       • Pros: User friendly, frequently used.

         Cons: Expensive, can be difficult to interpret
         results.
C h o o s in g y o u r
         S o ftw a re


• Quantitative

     STATA

       • Pros: Can handle large data sets

         Cons: Expensive, can be difficult use
C h o o s in g y o u r
         S o ftw a re


• Quantitative

     Excel

       • Pros: Ubiquitous, somewhat smaller learning
         curve

         Cons: Fundamental limitations in formulas
C h o o s in g y o u r
         S o ftw a re


• Qualitative

      NVivo

        • Pros: Can structure qualitative data

          Cons: Expensive, can be difficult use
C h o o s in g y o u r
         S o ftw a re


• Qualitative

      ATLAS.ti

        • Pros: Can structure qualitative data

          Cons: Expensive, can be difficult use
Whe re d o e s
 s o f t w a r e f it in ?
Quantitative


 Hypothesis



               Test (Software)



                                 Conclusion
Whe re d o e s
 s o f t w a r e f it in ?
Qualitative

 Hypothesis


              Theory


                       Test (Software)


                                         Conclusion
Q u a lit a t iv e D a t a
        A n a ly s is

• Two upcoming workshops:

      NVivo: Thursday, December 1st, 2011,
      11.00am, RWJF Conference Room

     • ATLAS.ti: Thursday, December 8th, 2011,
      11.00am, RWJF conference Room

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Data Analysis Software Options for Descriptive and Inferential Questions

  • 1. D a t a A n a ly s is RWJF || GRC
  • 2. A v a ila b le S o ftw a re • Quantitative R • SPSS • STATA Qualitative • NVivo Atlas.ti
  • 3. T h e B ig P r o b le m How do you ask a question that a computer can answer?
  • 4. A s k in g t h e r ig h t q u e s t io n • Are you looking for descriptive statistics? • Are you looking for confirmation/refutation of a hypothesis?
  • 5. A s k in g t h e r ig h t q u e s t io n • Descriptive statistics are perhaps the easiest to structure. Quantitative: Central tendency, quartiles, data range • Qualitative: Frequent words, reoccurring themes
  • 6. A s k in g t h e r ig h t q u e s t io n • Hypothesis testing requires additional steps • Formulate hypothesis prior to test, have a clear null and alternative established
  • 7. A s k in g t h e r ig h t q u e s t io n H0: There is no difference/relationship Ha: There is a difference/relationship
  • 8. A s k in g t h e r ig h t q u e s t io n • Quantitative Regression • Is there a relationship between variable X and Y?
  • 9. A s k in g t h e r ig h t q u e s t io n • Quantitative Difference • Is there a difference between variable X and Y?
  • 10. A s k in g t h e r ig h t q u e s t io n Many problems with any kind of data analysis software stem from impossible to answer questions.
  • 11. S im p lif y Q u e s t io n s Break your question down to individual steps, as small as you can go.
  • 12. S im p lif y Q u e s t io n s “I need to test the GPA of students who scored below a 26 on the ACT vs. those who scored above.”
  • 13. S im p lif y Q u e s t io n s • To answer this question, you need a software function that can order the data, split it, and test the variables you need. • It can be hard to find one program that does all that - but it can be easier if you break the problem up into its components.
  • 14. S im p lif y Q u e s t io n s “I need to test the GPA of students who scored below a 26 on the ACT vs. those who scored above.” • Break the question down into individual steps: • Sort the data by lowest to highest ACT • Divide into ACT scores below 26 and scores above • Run a two-sample T-test on the GPA’s from each group.
  • 15. S im p lif y Q u e s t io n s Data analysis is a lot easier when each step is made smaller.
  • 16. C h o o s in g y o u r S o ftw a re • Quantitative R • Pros: Most flexibility, free, customized software Cons: Very difficult to learn
  • 17. C h o o s in g y o u r S o ftw a re • Quantitative SPSS • Pros: User friendly, frequently used. Cons: Expensive, can be difficult to interpret results.
  • 18. C h o o s in g y o u r S o ftw a re • Quantitative STATA • Pros: Can handle large data sets Cons: Expensive, can be difficult use
  • 19. C h o o s in g y o u r S o ftw a re • Quantitative Excel • Pros: Ubiquitous, somewhat smaller learning curve Cons: Fundamental limitations in formulas
  • 20. C h o o s in g y o u r S o ftw a re • Qualitative NVivo • Pros: Can structure qualitative data Cons: Expensive, can be difficult use
  • 21. C h o o s in g y o u r S o ftw a re • Qualitative ATLAS.ti • Pros: Can structure qualitative data Cons: Expensive, can be difficult use
  • 22. Whe re d o e s s o f t w a r e f it in ? Quantitative Hypothesis Test (Software) Conclusion
  • 23. Whe re d o e s s o f t w a r e f it in ? Qualitative Hypothesis Theory Test (Software) Conclusion
  • 24. Q u a lit a t iv e D a t a A n a ly s is • Two upcoming workshops: NVivo: Thursday, December 1st, 2011, 11.00am, RWJF Conference Room • ATLAS.ti: Thursday, December 8th, 2011, 11.00am, RWJF conference Room