basic statistical tools in educational planning
TRANSCRIPT
BASIC STATISTICAL TOOLS
IN EDUCATIONAL
PLANNING
KINDS OF DATA NEEDED IN EDUCATIONAL
PLANNING
COLLECTION OF STATISTICAL DATA
DATA PROCESSING, STORAGE, AND
RETRIEVAL
Prepared by: Cheryl M. Asia
BASIC STATISTICAL TOOLS IN
EDUCATIONAL PLANNING
The Department of Education Planning Division States the main purpose of educational statistics maybe summarized as follows:
To forecast the demand for education of different kinds and to
estimate the future stock of students in different educational sectors
in order to ensure the adequate educational resources- teachers,
buildings, equipment-are available at the right time
To forecast the future outflow of individuals with different kinds of
education
To estimate the future costs for educational system
To give data useful for educational research
To give information for the current administration of educational
sector
To give a broad description of the educational sector for the general
public.
KINDS OF DATA NEEDED IN EDUCATIONAL PLANNING
A. Types of data required for
different purposes
Stock data – describe the
situation of educational system at
a given point of time, in terms of
total number of schools, teachers,
and students for each type of
level of education.
Flow data – describe the internal
dynamics of the educational
B. Educational statistics can be
controlled on an individualized or an
aggregate basis
Individualized data- provide
information about each individual or
student or teacher in a considerably
detailed basis.
Aggregated data- provide information
on students and teachers distributed
by sex, age, subject areas, etc.
C. Background information which are of vital interest to the educational planner are those related tto the development of the population and the economy of the country and those which express needs for education.Demographic data- the basic population data used are the previous and projected single-year, sex-age groups of the school age population (approximately 5-20 years).Manpower data- educational planning is closely interrelated with manpower planning.
Manpower data that are needed in educational
planning include:
Economically active population distributed by the
economic sector and educational attainment by
age, sex, and occupation.
Information on non-active population by age, sex,
and educational attainment.
Economic data- as to the economic
data needed, the gross national
product (GNP) or the gross national
income should provide basic
information.
D. Educational Statistics
The proper classification of data in presenting statistics on schools, classes, students, and teachers maybe as follows:
By authority which is responsible for schools
By level and school cycle
Distinctions among different levels of education
Elementary (primary and intermediate)- by school cycle that maybe presented by the grade or year.
Secondary level- between academic or general, vocational, technical, etc.
Class and students- make further supervisions on mathematics, communication arts, social sciences, etc.
Tertiary level- students are divided by line of study.
Data on Student- the most
essential source of information in
educational planning is that concerns
the students.
Data on Teachers- as teachers
salaries contribute the largest item in
the educational budget, a proper
planning of the future demand for
teachers and their utilization is
essential.
COLLECTION OF STATISTICAL DATA
Basic statistical data for educational planning can be obtained in six ways, all which can be utilized by well-organized program of educational statistics per DECS, are as follows:
Regular censuses of students, teachers, graduates etc. in all educational institutions
Regular sample surveys of students, teachers, etc. in all schools or a sample of them
Ad hoc surveys at irregular intervals
Population censuses
Sample surveys drawn from population censuses
Routine reporting of data obtained as by-product of educational administration.
DATA PROCESSING, STORAGE AND
RETRIEVAL
The needs in educational statistics are related to the development of the educational planning machinery. Where planning has reached a sophisticated level, the demands are even greater as to the amount of information.
Methods of processing, storage, and retrieval of data:
Input system- transfers the original data to form which is suitable for processing
Arithmetic unit- consists of desk calculators, punched-card operated machines or computers
Thank you….