A Multilevel Analysis of the factors Affecting Information Technology Capability of Mattayomsuksa 2 students Under the Secondary Educational Service Area Office 25

Abstract

The objectives of this research are to study student level and classroom level affecting
information technology capability, to construct predictive equations of technology capability of
Mathayomsuksa two students under the Secondary Educational Service Area Office 25 by
a multilevel analysis. The sample size consisted of 1,079 Mattayomsuksa two students from 24
schools using multi-stage random sampling. A 15-item test of basic knowledge about the ability
to use information technology, a scale and a questionnaire about the factors affecting information
technology capability were the research instruments for this study. The questionnaire consists of
60 questions on 10 aspects: 1) attitude towards the use of information technology 2) skills for
knowledge search 3) motivation for achievement 4) influence of mass media 5) support from
parents 6) ways of nurturing 7) influence of friends 8) teaching quality of teachers 9) learning
resources within the schools and 10) information technology capability. Data obtained were
analyzed by basic statistical analysis, correlation coefficients analysis and multilevel analysis using
technique of hierarchical linear modeling.
The results of this research show that:
1. Background knowledge about the use of information technology and attitude
towards the use of information technology affected information technology capability of
Mathayomsuksa two students under the Secondary Educational Service Area Office 25 at the
statistical significant level of .01 and .05, respectively. These independent student level revealed
62.80 percent of the variation on information technology capability of Mathayomsuksa two
students under the Secondary Educational Service Area Office 25.
2. The influence of friends affected information technology capability of
Mathayomsuksa two students under the Secondary Educational Service Area Office 25 at the
statistical significant level of .05. This independent classroom level revealed 25.50 percent of the
variation on information technology capability of Mathayomsuksa two students under the
Secondary Educational Service Area Office 25.
3. The predictive equations of student level and classroom level affecting information
technology capability of Mathayomsuksa two students under the Secondary Educational Service
Area Office 25 obtained by multilevel analysis. The equations are:
Micro-Level Analysis
CAPS
ij = 3.986 + 0.022**(BASIC1)ij + 0.128*(ATT)ij
Macro-Level Analysis
β0j = 3.985 + 0.191*(PEER)
BASIC1(β1j) = 0.033 + 0.039* (PEER)ij
In conclusion, the factors, in terms of student level, affecting information technology
capability of Mathayomsuksa two students under the Secondary Educational Service Area Office 25
are background knowledge about information technology capability and attitudes towards the use
of information technology, and the influence of friends in terms of classroom level. Furthermore,
these factors have particular connection with each other. Therefore, administrators, teachers,
parents and those persons involved should strengthen these factors for the students which can
lead to improvement in information technology capability.