internet usage statistical data analysis
DESCRIPTION
Internet Usage Statistical Data AnalysisTRANSCRIPT
Internet UsageStatistical DataAnalysis
Edgardo DonovanRES 610 – Dr. Joshua ShackmanModule 5 – Session Long Project
Monday, September 19, 2011
Overview 1. Study Background 2. Top/Lowest Uses 3. Top/Lowest Uses Chart 4. InterSurvey 5. Sampling Issues 5. Sampling Issues 6. Hypotheses 7. Case Processing 8. Reliability 9. Item Statistics 10. Item Statistics (cont.) 11. Summary Item Stats
Overview (cont.) 12. Inter-Item Correlations 13. More Quantitative Analysis 14. Item Statistics 15. Item Statistics (cont.) 16. Improving the Original 16. Improving the Original 17. Improved USC Model 18. Autocorrelations 19. Hours on the Internet 20. Hours on Internet (cont.) 21. Positive Correlations 22. Positive Correlations (cont.)
Overview (cont.) 23. Conclusion 24. Questions?
1. Study Background
2000 UCLA study surveying the digital future
Limited to WebTV users Initially started at Stanford, then UCLA, Initially started at Stanford, then UCLA,
then USC
2. Top/Lowest Uses
Top Uses: Learning Surfing (overlap?) Reading about products Reading about products
Surprising Lowest Uses: Schoolwordk Banking Job Search
3. Top/Lowest Uses Chart
4. InterSurvey
Relied upon a form application tool named “Intersurvey”
Survey had to be done online Low interest in effectively sampling the US Low interest in effectively sampling the US
Internet user population
5. Sampling Issues
WebTV Set Top Boxes Limited to low end income demographic
Poor attempt at sampling External validity problematic External validity problematic
6. Hypotheses
“Negative correlation between Internet and TV use
Negative correlation between Internet Use and traditional social activity and shoppingand traditional social activity and shopping
No insight on survey questions
7. Case Processing
Case Processing Summary
N %
Cases ValidCases Valid1241 100.0
Excludeda
0 .0
Total1241 100.0
a. Listwise deletion based on all variables in the procedure.
8. Reliability
Reliability Statistics
Cronbach's AlphaCronbach's Alpha Based on
Standardized Items N of Items
.816 .809 17
9. Item Statistics
10. Item Statistics (cont.)
11. Summary Item Stats
12. Inter-Item Correlations
13. More Quantitative Analysis
14. Item Statistics
15. Item Statistics (cont.)
16. Improving the Original
USC to improve the Stanford/UCLA study Auto, Pharms, and groceries were removed Smoothing effect 10-25 questions that delve deeper into 10-25 questions that delve deeper into
issues
17. Improved USC Model
18. Autocorrelations
19. Hours on the Internet
20. Hours on Internet (cont.)
21. Positive Correlations
Positive correlation between hours spent on the Internet and amount of online purchases
Significant deviation between males and females concerning when purchasing Significant deviation between males and females concerning when purchasing sporting goods
22. Positive Correlations (cont.)
23. Conclusion
Stanford/UCLA Study WebTV and InterSurvey Limitations Extra Variables Measured “strange” usage Measured “strange” usage
USC Eliminated Unnecessary Variables No WebTV InterSurvey Limitations Hypothetical Correlations Have Value More advanced Stage of Internet Use