$ Jr it: i'I; T '. Ci {tr,{ii{{i tr{i

HOLY ANGEL UNIVERSITY

Modified Tinto's

Attrition

Model in Predicting Academic Performance in Basic Computer Programming

A Thesis

Presented to the Graduate School

Holy Angel University

$

Jr

^it:

i'I;

^{T '. t}

ⁱ

^-,

_il-"h

ii \u-

$,1,i

il i ?i[:]

^,H*r]'

Ci {tr,{ii{{i ^tr{i

Iri Partial Fulfillment of The Requirement for the Degree of Master' of Arts in Guidance

&

Counseling

ALArN BERNARD

L.pwAL

Januaryo 2009

i{#t ^y

A

ffiGrl t}${flfE$Stry

tgs$?At? ^Y

HOLY AI{GEL TINIVERSITY

Modified Tinto's

Attrition

Model in Predicting Academic Performance in Basic Computer Programming

Alain Bernard A. Andal

Abstract

This study presents explanatory and predictive models

of

academic performance in basic computer programming or Logical Formulation (6LogFor/L) among

a

sample

of

^{138 freshmen}

ⁱⁿ

^{the College}

^of

Information and Communications Technology (CICT),.

Holy

Angel University, academic year 2007-2008.

It

is a modified model of the Vincent Tinto's Attrition Model (1975,1987

&

1993). Non- cognitive predictor variables are age, gender, high school attended, parents' education and family income. Cognitive variables are high school

grade

point

average (HSGPA), school mental

ability, and

the

following

subtests

in the College Entrance Test:

reading comprehension,

verbal

reasoning,

numerical ability,

abstract reasoning,

clerical

speed

and

accuracy,

and

language ^usage.

Descriptive, correlation and regtession analyses showed significant correlates

of 6l-ogforlL

^grade

to

be limited only

to

the cognitive variables except RC, and the best combination

of

predictors being numerical ability, HSGPA, and gender. The findings have significant implications in the admission and retention policies of the CICT; and render valuable inputs

in

the University Guidance Center's learning assistance

program. '