COMMUNICATION COMPETENCE FACTORS AS MODERATORS TO THE RELATIONSHIP BETWEEN USER
PARTICIPATION AND INFORMATION QUALITY
Journal of Information Technology Management Volume XX, Number 4, 2009
12
Table 4 (continued)
Component
Variables
Variable
Items
1
2
3
4
5
6
7
8
9
1
0.54
0.48
Communication
Apprehension
2
0.73
3
0.74
4
0.84
5
0.79
6
0.82
7
0.88
8
0.83
9
0.73
10
0.70
11
0.83
12
0.76
13
0.68
14
0.59
15
0.73
16
0.74
17
0.67
18
0.78
22
0.47
23
0.62
24
0.61
Variables
Percentage
of
Variance
22.76
13.42
11.80
6.99
4.98
3.76
3.16
2.58
2.16
Eigenvalue
16.39
9.66
8.50
5.03
3.59
2.71
2.28
1.86
1.56
Testing the Hypotheses
A Pearson correlation
was performed to test the
first hypothesis (relationship between user participation
and information quality). Significant
positive correlation
between user participation and information quality was
observed (r = 0.319; significance value = 0.027, p-value ≤
0.05), thus lending support for the first hypothesis.
Hypotheses 2 through 4
were tested by using
moderated regression analysis (following Aiken and West
[1]). All variables (except the dependent variable,
information quality) were
centered to avoid problems
with multicollinearity [1]. Centering a variable is
accomplished by subtracting its mean off each value of
the variable. First, the predictor variables (user
participation and the moderating
variables proposed in
Hypotheses 2 through 4) were entered in the regression
equation. Then, the interaction
term between user
participation and a moderating variable was entered to the
regression equation. The hypotheses 2 through 4 will be
supported (i.e., the hypothesized
variables significantly
moderate the relationship between user participation and
information quality),
if the incremental R
2
is significant.
Each of the changes in R
2
provided
by adding an
interaction term to the equation and its significance are
shown in Table 5.
COMMUNICATION COMPETENCE FACTORS AS MODERATORS TO THE RELATIONSHIP BETWEEN USER
PARTICIPATION AND INFORMATION QUALITY
Journal of Information Technology Management Volume XX, Number 4, 2009
13
Table 5: R-Squared Report
Hypothesis
N
R
2
Before
Adding
Interaction
Term
R
2
After
Adding
Interaction
Term
∆R
2
Significance F
Change
H2a: User's Experiences in Current System
48
0.149
0.177
0.028
0.226
H2b: User's Experiences in Current Job
48
0.102
0.178
0.076
0.05**
H3a: Planning Cognition
48
0.107
0.133
0.026
0.259
H3b: Modeling Cognition
48
0.112
0.178
0.066
0.067*
H3c: Presence Cognition
48
0.110
0.116
0.006
0.587
H3d: Reflection Cognition
48
0.104
0.104
0
0.973
H3e: Consequence Cognition
48
0.106
0.107
0.01
0.845
H4: Communication Apprehension
48
0.102
0.102
0
0.927
*
p≤ 0.1 **
p≤0.05
The results in Table 5
show that there are only
two variables that moderate the relationship between user
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