Education: Findings and Analysis (Research Paper Sample)

Findings and Analysis
The data from 504 individuals form Indian respondent was subjected to exploratory (EFA) and confirmatory factor analysis (CFA).According to the consistency indices, all of the three dimensional scale are within the permitted range as found in literature, and therefore provide a valid result for policy makers in the department of education. In order to determine a viable factor structure the scale items were subjected to exploratory factor analysis (EFA). For making three components like Biology test anxiety, laboratory anxiety, and classroom environment or learning anxiety ( only 19 item out of 42 on the bases of commulaties value greater than .50) 19 items were use clearly as seen in figure 1 in eigenvalue graph.
Figure 1 Line graph of eigenvalues of the 19 items
The structural validity of the 3-dimensional was determined using confirmatory factor analysis (CFA). The t values of all 42 items were determined to be significant in the CFA findings. Figure2 depicted the scale's factor load values (Lambda).
Table 1 Consistency indices of scale items for the factor structure
Consistency Index

Accepted Range

Value

Chi Square

<.50

=4771.629/504=9.46

Biology test anxiety

>.70

.538

laboratory anxiety

>.70

.713

classroom environment or learning anxiety

>.70

.685

Root Mean Square Error

<.08

0.076

Figure 2 The factor load values (Lambda) of the scale
right1079500
As exploratory factor analysis was applied to the data, the factor load values of the scale, which was confined to three factors, were investigated. The difference in their factor loads for many item was found to be less than 0.10 , hence these items were removed off the scale. Finally the exploratory factor analysis was applied to the remaining 19 items in the same way. The measured structure of the three factor-structure was found to have a variation of 51%. The eigenvalue of the first factor was determined to be .504 and .551, and there were 2 items in it. There are 9 elements in the second factor, and the eigenvalue of the factor lies in-between 0.544 and .701. Finally, in the third factor, there are 8 items and the eigenvalue of the factors were found in-between .473 and .682.
Table 2 : Distribution of items into factors. Factor loads of the items in these factors together with the item total correlations and Alpha coefficients.

Item Number

Factor Load

Item total correlation

Alpha Coefficient

Factor1

Bio3

.504

0.735

0.456


Bio8

.551

0.415


Factor2

CR1

.565

0.678

0.621


CR2

.576

0.701



CR3

.770

0.544



CR10

.712

0.658



CR14

.544

0.454



CR15

.558

0.616



CR16

.616

0.472



CR18

.608

0.682



CR19

.601

0.473


Factor3

Lab1

.810

0.616

0.567


Lab2

.626

0.472



Lab3

.707

0.682



Lab6

.684

0.473



Lab7

.868

0.512



Lab11

.680

0.604



Lab12

.672

0.614



Lab14

.683

0.541


Descriptive Statistics


N

Minimum

Maximum

Mean

Std. Deviation

Bio1

504

1

5

3.94

1.092

Bio2

504

1

5

2.13

1.227

Bio3

504

1

4

1.84

.954

Bio4

504

1

5

1.78

.922

Bio5

504

1

5

1.70

.914

Bio6

504

1

5

2.30

1.195

Bio7

504

1

5

1.77

.900

Bio8

504

1

5

2.12

1.129

CR1

504

1

5

2.93

1.332

CR2

504

1

5

3.20

1.393

CR3

504

1

5

1.84

.853

CR4

504

1

5

2.36

1.150

CR5

504

1

5

1.62

.845

CR6

504

1

5

2.62

1.344

CR7

504

1

5

2.16

1.067

CR8

504

1

5

2.21

1.116

CR9

504

1

5

3.12

1.358

CR10

504

1

5

2.99

1.521

CR11

504

1

5

2.14

1.037

CR12

504

1

5

2.81

1.345

CR13

504

1

5

1.76

.992

CR14

504

1

5

3.02

1.304

CR15

504

1

5

2.69

1.267

CR16

504

1

5

2.99

1.327

CR17

504

1

5

3.06

1.417

CR18

504

1

5

2.68

1.324

CR19

504

1