Findings Results and analysis
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factor analysis. The Bartlett‘s Test of Sphericity for the 24 items was significant Sig. = 0.000
and measure of sampling adequacy with Kaiser-Meyer-Olkin KMO showed a value of 0.90 indicated that the appropriateness of the construct
as ―meritorious‖ Hair et al., 2006.
Descriptive Statistics
Table 1 below shows descriptive statistics for all 24 necessary aspects of tax knowledge. Mean for all items were positive with values above 3.00. Item with the highest standard deviation was
‗the amount of relief‘ 1.5β while the lowest was ‗types of assessment i.e. joint or separate‘ 1.01.
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Table 1
Descriptive Statistics of Items N= 139
Item No.
Items Mean
Standard Deviation
Minimum Maximum
1 Tax return submission date
4.12 1.23
1 5
2 Due date to settle tax payment
3.91 1.33
1 5
3 Types of assessment i.e. joint or
separate 4.22
1.01 1
5
4 Person chargeable to income tax
4.02 1.06
1 5
5 Types of income subjected to tax
4.07 1.08
1 5
6 Types of income exempted from tax
3.62 1.25
1 5
7 The amount of income exempted
from tax 3.43
1.36 1
5
8 Meaning of income terms in taxation
such as aggregate income, total income and chargeable income
3.51 1.25
1 5
9 The steps involve in computing tax
payable 3.81
1.17 1
5
10 Assessment period for employment
income 3.97
1.12 1
5
11 Types of employment income
3.93 1.06
1 5
12 Types and amount of allowable
3.31 1.35
1 5
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donation and gifts 13
Types of relief 3.45
1.45 1
5 14
The amount of relief 3.29
1.52 1
5 15
Entitlement to relief 3.49
1.36 1
5 16
Types of individual tax rebates 3.39
1.34 1
5 17
The amount of tax rebates 3.33
1.33 1
5 18
Tax rates 3.21
1.45 1
5 19
Use of tax rate table 3.83
1.08 1
5 20
The length of period to keep proper record and documents
3.45 1.44
1 5
21 Types of record and document to
keep 3.62
1.29 1
5
22 Relevant public rulings
3.18 1.36
1 5
23 Requirement to comply with the
public rulings 3.17
1.42 1
5
24 Types of offences subjected to
penalty 3.29
1.42 1
5
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Factor Analysis
The next step was to run factor analysis on the item to identify the possible components for the 24 items in the measure. Table 2 presents the result of rotated component matrix in factor
analysis. Similar to Md Idris and Ayob 2001, this study chose Principle Component Analysis PCA followed by a varimax rotation of all the items in the measures as it is an effective and
widely accepted as a mean of exploring the interdependence among variables. As a result, four components that have Eigenvalue of 1 or more were attained. Each component that had an
Eigenvalue of 1 or more is considered as significant Hair et al., 2006 with component 1 has the highest Eigenvalue i.e. 13.15. The percentage of the total variance from these four components
is 74 which is considered as satisfactory with the highest percentage of total variance also comes from component 1 which accounts for 54.81. The guidelines provided in Hair et al.
2006 were applied for choosing the items for a component. Given the number of sample in the study, the guidelines suggested that the items in each component with rotated factor loadings of
0.45 or higher were considered as significant. Since each item have rotated factor loadings which fell under the specified category, all items were accepted and grouped under four
components as shown in Table 2.
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Table 2
Rotated Component Matrix
a
for Necessary Aspects of Tax Knowledge N=139
Items Item
No. Components
1 2
3 4
Deductions Tax Liability Computation 10 items
The amount of relief 14
.877 Types of relief
13 .855
Entitlement to relief 15
.819 Types of individual tax rebates
16 .785
Types and amount of donations and gifts 12
.782 The amount of tax rebates
17 .778
Tax rates 18
.724 The amount of income exempted from tax
7 .695
Types of income exempted from tax 6
.589 Use of tax rate table
19 .535
Income Assessment Principles 7 items
Assessment period for employment income 10
.854 Types of assessment i.e. joint or separate
3 .810
Types of employment income 11
.722 Meaning of income terms in taxation such as
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aggregate income, total income and chargeable income
8 .690
Person chargeable to income tax 4
.522 The steps involve in computing tax payable
9 .502
Types of income subjected to tax 5
.491
Rulings, Record Keeping Offences 5 items
Public rulings 22
.827 Requirement to comply with the public rulings
23 .801
Types of record and document to keep 21
.663 The length of period to keep proper record and
document 20
.606 Types of offenses subjected to penalty
24 .600
Due Dates 2 items
Tax return submission date 1
.780 Due date to settle tax payment
2 .755
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations. Eigenvalue of the components = 1 or more.
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These four components represent the dimensions of tax knowledge required by non-business taxpayers in order to assess their income as required under SAS. By looking at the likely similar
characteristics of the items under each dimension, the dimensions were named as deductions tax liability computations, income assessment principles, rulings, record keeping offences and
due dates respectively. Deductions Tax Liability Computation dimension has 10 items with the rotated factor loadings range from 0.53 to 0.88. Income Assessment Principles dimension 7
items has rotated factor loadings that range from 0.49 to 0.85 while Rulings, Record Keeping Offences 5 items has rotated factor loadings from 0.60 to 0.82. The fourth dimension i.e. Due
Dates 2 items have rotated factor loadings of 0.75 to 0.78.
Further, the construct reliability of each dimension was assessed. However, before assessing the internal consistency of the measures, an item inter-correlation matrix was constructed to
examine the extent to which some common trait was present in the items. If there is low inter- item correlations the associated items are likely to have been inappropriately selected Nunnally,
1978 and Churchill, 1979. In this regards, Flynn, Schroeder and Sakakibara 1994 suggested that items having relatively low correlation i.e. ≤ 0.γ0 with other items have to be dropped from
the measure. All inter-item correlations for each dimension of tax knowledge were above 0.40. The analysis also reveals that a considerable number of correlations exceed 0.30 which showed
that the items were suitable for the instruments Coakes and Steed, 2001.
Next, an internal consistency was assessed separately for each dimension of tax knowledge. The Cronbach‘s alpha values of the four dimensions were 0.95 deductions tax liability
computations, 0.89 income assessment principles, 0.92 rulings, record keeping offences and 0.86 due dates. The alpha value for each dimension shows that the reliability was
adequate. Ang 2000 suggested that measures with high alpha value i.e. at least 0.80 and consistent item inter-correlations could be accepted without any modification. As the alpha
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value for each dimension in tax knowledge measure is above 0.80 and the inter-correlations between items in the dimensions were consistent and above 0.40, the measure of tax
knowledge was acceptable.