The psychometric analysis of the instrument was based on the validity
and reliability measures. The properties are presented thus;
Validity
Adewumi
(1998) noted that a measuring instrument is described as valid when it
measures truly and accurately the quality it is meant to measure.
Validity is one of the most crucial psychometric properties of
measurement and it is concerned with whether a test or scale really
measures what it purports to measure. In order to ascertain the validity
of the instrument, the draft of the questionnaire would be submitted to
the researcher’s supervisor and other experts in the Department of
Counsellor Education for expert vetting and advice.
Reliability
According
to Olayiwola (2007), reliability is the degree of consistency with
which an instrument measures a construct over time. It has to do with
consistency and stability of an instrument or test. Adana (1996) stated
that a test could be said to be reliable if consistently and under
varying conditions it measures what it ought to measure. The test
re-test reliability method would be used to ascertain the reliability of
the instrument.
Procedures for Administration of Instrument and Data Collection
The
researcher would personally administer the instrument on the selected
respondents with the help of two-trained research assistant. Each
respondent was given a questionnaire to complete independently. The
administration and collection of the questionnaire would be done during
the school hours in order to facilitate quick retrieval. The
participants would informed of the purpose the study and their consents
would sought before the administration of the instrument. The researcher
would score the completed questionnaire using the scoring key provided
for each item.
Procedure for Scoring
Section A which consists
of four items dealing with demographic data would scored and analysed
statistically using frequency count and simple percentage with no point
assigned to the items. Section B with 15 items on the influence of
polygamy on behaviour patterns of adolescents would be scored using the
Four
Point Likert-Type rating scale format of:
Strongly Agree (SA) = 4 points
Agree (A) 3 points
Disagree (D) 2 points
Strongly Disagree (SD) = 1 point
Method of Data Analysis
The
data obtained was analysed using simple percentage, mean and standard
deviation and ranking order for the descriptive data while t-test and
Analysis of Variance (ANOVA) statistical analysis was used to compare
means of two independent variables. This is in agreement with Adana
(1996), that t-test is a non parametric test which is often used to
compare means of two independent variables such as male and female, old
and young e.t.c. In view of this, hypotheses 1 and 4 would be tested
using t-test while hypotheses 2 and 3 would be tested using Analysis of
Variance (ANOVA) in testing and comparing those variable having more
than two means. This is in agreement with the assertion of Adana (1996),
that ANOVA is an inferential technique for comparing means of three or
more groups.