A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning

Table 1

Notes
Comments
Input
Data	C:∖Users∖data.sav
Active dataset	DataSet1
Filter	<none>
Weight	<none>
Split file	<none>
of rows in working data file	892
Missing value handling
Definition of missing	Handling of user-defined missing values of nominal independent variables depends on the growing method.
Cases used	Only cases with valid data for the dependent variable and some or all independent variables are used in computing any statistics.
Syntax	TREE device [s] BY USEFULNESS [s] USABILITY [s] ACCEPTENCE [s] BASIKSKILL [s] ADVANCESKILL [s] MOBILESKILL [s]
	/TREE DISPLAY=TOPDOWN NODES=STATISTICS BRANCHSTATISTICS=YES NODEDEFS=YES SCALE=AUTO
	/PRINT MODELSUMMARY RISK
	/GAIN SUMMARYTABLE=YES TYPE=[NODE] SORT=DESCENDING CUMULATIVE=NO
	/METHOD TYPE=CHAID
	/GROWTHLIMIT MAXDEPTH=AUTO MINPARENTSIZE=100 MINCHILDSIZE=50
	/VALIDATION TYPE=NONE OUTPUT=BOTHSAMPLES
	/CHAID ALPHASPLIT=0.05 ALPHAMERGE=0.05 SPLITMERGED=NO ADJUST=BONFERRONI INTERVALS=10.
Resources
Processor time	00:00:00.90
Elapsed time	00:00:00.59
Files saved
Rules file
Model summary
Specifications
Growing method	CHAID
Dependent variable	Types of device you own
Independent variables	PERCEIVED USEFULNESS, PERCEIVED USABILITY, ACCEPTANCE BEHAVIOR, FUNDAMENTAL IT ABILITY, HIGHLY DEVELOPED IT ABILITY, SOPHISTICATED MOBILE PROFICIENCY
Validation	None
Maximum tree depth	3
Minimum cases in parent node	100
Minimum cases in child node	50
Results
Independent variables included	PERCEIVED USEFULNESS, SOPHISTICATED MOBILE PROFICIENCY
Number of nodes	10
Number of terminal nodes	8
Depth	2