f. - UZSpace Home - University of Zululand

to be asked in an interview, the length and schedule of interviews or
observations, and the selection of people to interview or settings to observe
were designed.
(ii) The development of explanatory categories, which occurs only after
an in-depth exposure to phenomena and not before. For instance, "which
ICT resources do you use and how do you implement them amongst rural
women?"
(iii) The narrative character of data, as data is collected primarily through
in-depth interviews. Documents such as case records and organizational
memoranda served as additional raw data for this study. The study therefore
collected case records and organizational memoranda practically depicting
the use of given ICTs by women in rural areas using specific case studies,
such as the AfriAfya and ALIN-EA case study in Kenya, and the Women's net
and National Community Radio Forum (NCRF) in South Africa.
(iv) The inductive process of data analysis. This process of interpreting
qualitative data and generating findings was accomplished in the study using
the said logic of induction rather than deduction, as patterns were
recognized in the data, and a theory or explanatory model to account for the
phenomena was constructed. For instance, findings from both case studies in
Kenya revealed that the use of a local management committee/board and
the use of Community Development Workers (COW) were crucial processes
in ICT project implementation amongst rural women. General statements
therefore came at the end of the study, as findings, rather than at the
beginning, as hypotheses.
(v) The focus on meanings, as the study was interested in the
interpretations that people gave to their surroundings. The study therefore
looked in depth at a small number of settings or people. As a result, the
study involved smaller sample sizes than would be the case in quantitative
research. Examples of such samples are the case studies used in the study,
such as the case study conducted in Kenya on a small group of women
1-11