Psychometric Properties of the Instrument
Validity
Hopkins (1983) defined validity of an instrument as how well it fulfils the functions of which it is been used, or the degrees to which it is capable of achieving certain arms. Adewunmi (1988) also opined that a measuring instrument is said to be valid when it measures truly and accurately the qualities and abilities one wants to measure. In other words, content is valid if it promotes the outcome that it is intended to promote.
In constructing the instrument, adequate care was taken to make sure that it covered the factor responsible for sexual abuse which the study aimed at. The instrument was certified by the supervisor and four other experts in the department of Counsellor Education after they had scrutinized the items of the instrument. This decision of the experts was based on the opinion of Adegoke (1987) that content validity is established by obtaining the agreement of experts on whether the aim is measured or not.
Reliability of the Instrument
Ogunlade (1995) noted that reliability gives a measure of the dependability of the items of an instrument. That is, it basically ascertains the extent to which the instrument consistently measures what it is purport to measure. Best (1981), also described reliability as the quality of consistency that the instrument or procedure demonstrates over a period of time.
In this research, the test retest method was used to establish the reliability of the instrument. The instrument was administered twice to twenty selected respondents. The results of the two sets of score were subjected to Pearson’s Product Moment Correlation Coefficient Procedure. A correction of 0.72 was obtained which was deemed high enough in establishing the reliability of the instruments.
Procedure for Data Administration and Collection
The instrument was personally administered to the respondents. The reason for the personal administration was to ensure a higher return rate and to assure the respondents of confidentiality because the responses were only used for research purpose only. This instrument was administered to a randomly selected group of 200 respondents of College of Education, Ogun State. The students who involved were required to complete the questionnaire on the sport so that they could be guided where necessary.
Method of Data Analysis Technique
The statistical method used for the analysis of the data in this study was both descriptive and inferential. Descriptive analysis was employed for the demographic section, that is, frequency counts and simple percentage. Inferential analysis was used to test the research hypotheses using t-test and ANOVA statistical tools were employed.
The parametric test that the researchers use for analyzing differences between two sets of scores is known as t-test (Nicky, 2000). What t-test actually does is to look at the mean to two sets of scores and at their standard deviation and estimating whether those means are so different that they are likely to have come from different population.
According to Glyins (2000), Analysis of Variance (ANOVA) works in the same way as the t-test. It looks at means and how the scores are spread about the means and then uses that information to judge whether the set of scores are likely to have come from the sample population. The difference between t-test and ANOVA is that t-test is used to analyse only two variables while ANOVA is used in analyzing the various hypotheses formulated. ANOVA deals with more than two groups or sets of means. All hypotheses were tested at 0.05 level of significance.