correlational-research-1213950546775840-8

8/7/2019 correlational-research-1213950546775840-8

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Correlational Research

Stella, Andrew, Vickie & CissyGroup 2 (Infocycle)


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Research titleResearch title

Topic:-

Reading story books could improve thescores / grade of English in primaryschool


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Research questionsResearch questions

Do primary students read story

books have high scores of Englishthan those who have not?

Does longer hours spent on readingstory book improve English level?


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Correlational ResearchCorrelational Research

Helps us understand related events,conditions and behaviors

To make predictions of how onevariable might predict another

Can high English level results be used topredict the same results on Chinese

subjects?


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MeasurementMeasurement

Population

Radom select (30 students randomlyselected)

Ordinal Scales

English level Hours of Story booksread

(Dependent variable) (Independent varibale)


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Correlational methodCorrelational method

Variable

4 classes of P1 students

Constant

Three months were spent on the studyof this research


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ProbabilityProbability

Correlation coefficient is computed

If the probability level of 0.5 that meansthe decision we made intends correct


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Data CollectData Collect

After reading story books for aboutthree months, a test of English was

given to students

Collect the scores and evaluate thecorrelation of Independent variableand dependent variable


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Ordinal ScalesOrdinal Scales

English level Time spent on reading

story books (hours)

A+ 360

A 300

A- 200

B+ 150

B 120

B- 100


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Ordinal ScalesOrdinal ScalesEnglish level Time spent on reading

story books (hours)

C+ 80C 70

C- 65

D 60

E

50F


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Ordinal dataOrdinal 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)


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Types ofMeasurement ScalesTypes ofMeasurement Scales

Mode is appropriate for nominal data

Median is for ordinal data

Mean is for interval or ratio data


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Data analysisData analysis

Median= 80 hrs


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Measure ofCentralMeasure ofCentraltendencytendency

Average of hours spent on reading storybooks correlate to high marks of Englishsubject

Median = 80 hours spent on reading story

books


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Scatter GraphScatter Graph


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Scatter graphScatter graphr = 0.81843


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Correlation coefficientCorrelation coefficientcalculatecalculate


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Correlation coefficientCorrelation coefficientcalculatecalculate

r = 0.81843


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Correlation CoCorrelation Co--efficient Formula :efficient Formula :

Raw score formula is used

Correlation(r) = NXY - (X)(Y)/ Sqrt([NX2 - (X)2][NY2 -(Y)2])

In this experiment

- Correlation(r) = 0.81843


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Pearson CorrelationPearson Correlationcoefficientcoefficient

Correlation(r) = +0.81843

It is very strong for individualpredictions

It is also adequate for group

predictions


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ConclusionsConclusions

Since the correlation coefficient is

r = 0.81843 (nearer to +1), sostrong relation (positive) ispredicted

Students spent more hours on

reading story books can have higherscores. It is predicted that it couldimplement on Chinese subjects


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References:References:--

"Correlation Co-efficient Calculator ", fromhttp://www.easycalculation.com/statistics/correlation.php.

Churchill, D. (2008). "Basic statistics and correlational

research." 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.

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