For instance, if only two or three items are left unanswered in a questionnaire of 40
items or more, this case can be dropped. And again, Hair et al. (2006) equally note
that the issue of missing data could be frustrating enough and damaging when not
properly handled. Hence, they identify a four-step process of identifying and solving
this problem. These steps are: defining the type of misplaced information; defining
the degree of misplaced information; analyse the unpredictability of the misplaced
information procedures and choice of the citation technique.
However, the general rule of thumb on missing data is enumerated by Hair et al.
(2006) which comprises that misplaced information under 10 percent for an
individual case or remark can generally be overlooked but the number of cases with
no misplaced information must be adequate for the designated examination method.
Variables with as little as 15 percent misplaced information are candidates for
removal, but higher levels of misplaced information, for instance 20 percent, can
often be alleviated. After bearing in mind the above endorsements the researcher
found no misplaced information.
3.13.3 Means and Standard Deviations
Utilization of a table of means and standard deviations is the ideal way of analyzing
a multivariate data. The five-point Likert scale was used to measure the data in order
to obtain the results of the descriptive statistics, which indicates that some
respondents were dissatisfied with some items. Minimum and maximum scales
indicate no out-of-range entries. The results also revealed that the mean of all
