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Unearthing Context
used. For this purpose, the Hayes’ process Procedure for spss Ver-
sion 4.0 (Hayes, 2022) was chosen. This approach provides a robust
framework for testing indirect and interaction effects through boot-
strapped confidence intervals, improving upon traditional stepwise re-
gression methods (Baron & Kenny, 1986). Descriptive statistics and
Pearson correlation were computed before the main analysis to assess
variable relationships and potential multicollinearity. Statistical signif-
icance was set at p <0.05.
Mediation analysis was conducted using process Model 4 to deter-
mine whether escs mediates the relationships between instructional
leadership, school autonomy, and students’ science achievement. This
model estimates:
• Path a: The direct effect of instructional leadership and school au-
tonomy on escs.
• Path b: The direct effect of escs on science achievement, control-
ling for instructional leadership and school autonomy.
• Path c : The direct effect of instructional leadership and school au-
tonomy on science achievement after controlling for escs.
• Path c: The total effect of instructional leadership and school au-
tonomy on science achievement. The total effect is the sum of the
direct and the indirect effect (c = c +a×b).
• Indirect Effect (a × b): Bootstrapping with 5,000 resamples was
used to estimate bias-corrected confidence intervals (95 ci) for
the indirect effect. Mediation was considered statistically signifi-
cantifthe bootllci and bootulci didnotincludezero(Preacher
& Hayes, 2008).
The mediation model follows the equations:
M = β 0 +β 1 X +ε,
Y = β 0 +β 2 X +β 3 M +ε,
where M represents escs, X represents instructional leadership or
school autonomy, and Y represents students’ science achievement. The
indirect effect (ie) was calculated as β 1 × β3. The overall mediation
model of this study is presented in Figure 2.2.
To assess whether escs moderates the relationships between in-
structional leadership, school autonomy, and science achievement, we
employed process Model 1. This model tests:
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