Correlational Research
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Correlational Research Presentation Transcript

  • 1. Correlational Research Stella, Andrew, Vickie & Cissy Group 2 (Infocycle)
  • 2. Research title
    • Topic:-
    • Reading story books could improve the scores / grade of English in primary school
  • 3. Research questions
    • Do primary students read story books have high scores of English than those who have not?
    • Does longer hours spent on reading story book improve English level?
  • 4. Correlational Research
    • Helps us understand related events, conditions and behaviors
    • To make predictions of how one variable might predict another
      • Can high English level results be used to predict the same results on Chinese subjects?
  • 5. Measurement
    • Population
      • Radom select (30 students randomly selected)
    • Ordinal Scales
      • English level Hours of Story books read
      • (Dependent variable) (Independent varibale)
  • 6. Correlational method
    • Variable
      • 4 classes of P1 students
    • Constant
      • Three months were spent on the study of this research
  • 7. Probability
    • Correlation coefficient is computed
      • If the probability level of 0.5 that means the decision we made intends correct
  • 8. Data Collect
    • After reading story books for about three months, a test of English was given to students
    • Collect the scores and evaluate the correlation of Independent variable and dependent variable
  • 9. Ordinal Scales
    • English level Time spent on reading
    • story books (hours)
    • A+ 360
    • A 300
    • A- 200
    • B+ 150
    • B 120
    • B- 100
  • 10. Ordinal Scales
    • English level Time spent on reading
    • story books (hours)
    • C+ 80
    • C 70
    • C- 65
    • D 60
    • E 50
    • F <50
  • 11. Ordinal data
    • A+ (95-100)
    • A (90-94)
    • A- (85-89)
    • B+ (80-84)
    • B (75-79)
    • B- (70-74)
    • C+ (65-69)
    • C (60-64)
    • C- (55-59)
    • D (50-54)
    • E (45-49)
    • F ( 0-44)
  • 12. Types of Measurement Scales
    • Mode is appropriate for nominal data
    • Median is for ordinal data
    • Mean is for interval or ratio data
  • 13. Data analysis Median = 80 hrs
  • 14. Measure of Central tendency
    • Average of hours spent on reading story books correlate to high marks of English subject
      • Median = 80 hours spent on reading story
      • books
  • 15. Scatter Graph
  • 16. Scatter graph r = 0.81843
  • 17. Correlation coefficient calculate
  • 18. Correlation coefficient calculate r = 0.81843
  • 19. Correlation Co-efficient Formula :
      • Raw score formula is used
      • Correlation(r) = NΣXY - (ΣX)(ΣY) / Sqrt([NΣX2 - (ΣX)2][NΣY2 - (ΣY)2])
      • In this experiment
      • - Correlation(r) = 0.81843
  • 20. Pearson Correlation coefficient
      • Correlation(r) = +0.81843
    • It is very strong for individual predictions
    • It is also adequate for group predictions
  • 21. Conclusions
    • Since the correlation coefficient is
    • r = 0.81843 (nearer to +1), so strong relation ( positive ) is predicted
    • Students spent more hours on reading story books can have higher scores. It is predicted that it could implement on Chinese subjects
  • 22. References:-
    • &quot;Correlation Co-efficient Calculator &quot;, from http:// www.easycalculation.com/statistics/correlation.php .
    • Churchill, D. (2008). &quot;Basic statistics and correlational research.&quot; Seminar 4.
    • Cohen, L. and L. Manion (1980). Research methods in education . London, Croom Helm.
    • Gay, L. R. (1981). Educational research : competencies for analysis & application . Columbus, Merrill.
    • Vockell, E. L. and J. W. Asher (1995). Educational research . Englewood Cliffs, New Jersey, Merrill.