CHAPTER – 4 ANALYSIS AND INTERPRETATION OF DATA

CHAPTER ? 4 ANALYSIS AND INTERPRETATION OF DATA 4.1.0 Introduction 4.2.0 Analysis and interpretation of the obtained data through Analysis of Co variance 4.3.0 Factorial analysis and interpretation of the obtained data through Analysis of Covariance 4.4.0 Analysis and interpretation of the obtained data of Experimental group through Analysis of Co variance 4.5.0 Analysis and interpretation of the opinion of the students of experimental group obtained through Opinionnaire 4.6.0 Conclusion

81

CHAPTER ? 4 ANALYSIS AND INTERPRETATION OF DATA

4.1.0 INTRODUCTION In Chapter three, researcher had discussed the research design and methodology,

origin of the research, design of the research, variable of the research, population and sample of the research, tools for data collection, development stage of the CAI package, procedure for data collection, statistical analysis done in research work.

Data analysis is consider to be important step and heart of the research in research work. After collection of data with the help of relevant tools and techniques, the next logical step, is to analyze and interpret data with a view to arriving at empirical solution to the problem. The data analysis for the present research was done quantitatively with the help of both descriptive statistics and inferential statistics. The descriptive statistical techniques like mean, standard deviation and for the inferential statistics Analysis of Co Variance were used during data analysis. For the analysis of opinionnaire Chi square test was used.

4.2.0 ANALYSIS AND INTERPRETATION OF THE OBTAINED DATA THROUGH ANALYSIS OF CO VARIANCE

Comparison of control group that was taught through conventional method and experimental group learn through CAI by considering pre test and IQ as a co variable with the help of Analysis of Co Variance is considered in this part. 4.2.1 Analysis of Co Variance and interpretation of post test score of Control and

experimental group by considering pre test and IQ as a Co Variable for rural area

For the present research to check the objective no. 2, 3 and hypothesis no. 1 Analysis of Co Variance was done and obtained value is shown in table 4.1 and 4.2

82

Table 4.1

Analysis of Co Variance of post test score of Control and experimental group

by considering pre test and IQ as a Co Variable

Sources of df

Variance

Sum of Square

Mean

Significant

F-Value Table value

Square

level

Among

1

Within

96

Total

97

2229.07 1766.31 3995.38

2229.07 18.40 2247.47

121.15

F0.01 = 6.90 F0.05 = 3.94

Significant at 0.01

To compare control group and experimental group of the rural area achievement of the experimental group was compared with the control group. From the table 4.1 it can be seen that the degree of freedom for among and within groups were 1 and 96 respectively. The sum of squares of corrected post test was found to be 2229.07 and 1766.31 for among and within groups respectively. The corrected mean sum of squares of post test was found to be 2229.07 and 18.40 for among and within groups respectively. The F-value was found to be 121.15 which was found to be significant at 0.01 level of significance for the degree of freedom 1 and 96. Hence, the null hypothesis 1, "There will be no significant difference between corrected means of achievement of control group and experimental group of rural area by considering pre test score and IQ as a co-variable in a unit of wave optics for standard XII science students" is rejected. Hence it can be said that there is significant difference between the corrected post test means of control and experimental group. Further to know the mean of which group is higher and which mean is lower, the details of mean scores and corrected mean scores are given in table 4.2

Significant difference for corrected mean From Table C for df = 96

t0.05 = 1.98 and t0.01 = 2.63

Standard Error obtained is SED = 0.981

Therefore D0.05 = t0.05 ? 0.981

83

= 1.98 ? 0.981 = 1.942

and for D0.01 = t0.01 ? 0.981

= 2.63 ? 0.981 = 2.580 Corrected mean and difference between corrected mean with level of significance is shown in table 4.2 below.

Table 4.2 Level of significance and difference between corrected mean of experimental

and control group

Groups

Mean Mean

Obtained

Corrected

Mean of of

difference Significant

mean of

significant

N of IQ Pre post

between difference

Post test

level

Mx test test

corrected value

Mxyz

My Mz

mean

Experimental 50 99.60 8.78 24.54 Control 50 105.86 12.30 16.92

26.13 15.33

10.80

D0.01 = 2.58 significant D0.05 = 1.94 at 0.01

From table 4.2 it can be seen that the Mean of IQ (Mx) are 99.60 and 105.86 for the experimental and control groups respectively. The mean pre test (My) score are 8.78 and 12.30 for the experimental and control groups respectively. The mean post test (Mz) scores are 24.54 and 16.92 for experimental group and control group respectively. The corrected post test mean scores (Mxyz) of the control and experimental group were found to be 26.13 and 15.33 respectively. This shows that corrected mean of experimental group is significantly higher than corrected mean of control group. The obtained difference between corrected mean scores for experimental and control groups was found to be 10.80, which was found to be significant at 0.01 level of significance. It showed that the experimental group scored higher than the control group in the post test which may be due to the effect of CAI. As the Hypothesis-1 was rejected, it can be concluded that the mean achievement of experimental group that were taught through CAI is significantly

84

higher than that of the control group. The means of experimental group and control group are also shown in the graph 4.1 for better comprehension.

Graph 4.1 Mean of IQ, pre test, post test and corrected post test means of experimental group

and control group of rural area

Mean

120 100

80 60 40 20

0 Experimental

Control

Mean of IQ Mx

Mean of Pre test My

Mean of Post test Mz Corrected mean of Post test Mxyz

From the graph it can be seen that the corrected mean of post test for the experimental group is higher than the control group. 4.2.2 Analysis of Co-Variance and interpretation of post test score of Control and

experimental group by considering pre test and IQ as a Co Variable for urban

area

For the present research to check the objective no. 2, 3 and hypothesis no. 2 Analysis of Co Variance was done and obtained value is shown in table 4.3 and 4.4

Table 4.3

Analysis of Co Variance of post test score of Control and experimental group

by considering pre test and IQ as a Co Variable

Sources of df

Variance

Sum of Square

Mean

Significant

F-Value Table value

Square

level

Among

1

Within

96

Total

97

3318.48 897.52 4215.00

3318.48 9.35

3327.83

354.95

F0.01 = 6.90 F0.05 = 3.94

Significant at 0.01

85

 ................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download