Validity of Research Instruments
According to Kimaiga (2014)
validity is the accuracy and meaningfulness of inferences, which are
based on the research results. Validity is the degree to which the
result obtained from the analysis of the data actually represents the
phenomenon under study (Mugenda & Mugenda 2003). To determine the
validity of the research instruments the researcher presented the
instrument to experts -supervisors in the department who assessed them
before using them for data collection. This was important in order to
ensure that the instruments genuinely measure what they purport to
measure (Yuko and Onen, 2011)
Reliability of the Research Instruments
Reliability
is the degree to which a research procedure gives consistent result or
data after repeated trials (Kimaiga, 2014). There are four different
ways of measuring reliability. These are; test-retest split half method,
equivalent form and internal consistence technique. (Mugenda and
Mugenda 2003 cited in Kimaiga, 2014). To achieve consistent results, the
study sought to determine reliability of the instruments. To do this, a
pilot study was carried out at a neighbouring school. A test –retest
method was used whereby questionnaires were administered at an interval
of two weeks. After this, the data from the 23 questionnaires was
analyzed.
Procedure for Data Collection
The researcher sought
permission from the Institute of Education, University of Ilorin.
Further permission was sought from the Department of Adult and Primary
Education Study, University of Ilorin and then proceeds to the selected
schools of study. The researcher explained to the head teachers of the
sampled schools the purpose of the study before administering the
research instruments. A covering letter attached to the research
instruments was used to assure the respondents of confidentiality and
then administer the study tools. Questionnaires were administered and
collected on the actual day of study.
Method of Data Analysis
The demographic characteristics of the respondents were analyzed using descriptive statistics of frequency and percentages
Research
question are was answered by using descriptive statistics while
research questions two to three had corresponding hypotheses
While
hypothesis one (Ho1) was tested using T-test statistics, hypothesis two
and three were tested using Analysis of Variance (ANOVA) statistics. All
generated hypotheses were tested at 0.05 level of significance using
IBM (SPSS) 20.0.