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take action of their own accord; others had referrals from leaders at their institutions. Tod
and Lacey stressed all participants were volunteers. The intention of the examiners was to
investigate what motivates or hinders participants from taking action in managing their ca-
reer development proactively.
The study included the use of a naturalistic methodology with semi-structured inter-
views and framework analyses techniques (Tod and Lacey 2006, p. 60). The interviews
were home-based, lasted twenty minutes, and included questions regarding (a) a descrip-
tion of current and past efforts to change careers to computer science, (b) external support
systems, (c) information sources regarding the computer institutions that were the best and
also the least expensive, (d) attitudes learned about new development in RAM and CPUs,
and (e) the range of CPU speed and RAM capacity requirements (Tod and Lacey, p. 60).
Literature on the topic of the stages of change model helped to support the analyses and
played a vital role in developing data.
Findings are not generalizable because of the small sample size of eleven; results are not
generalizable to both male and females because there were only five males and six females
who participated in the study. The data obtained from the well-constructed interview ques-
tions indicated a strong connection between readiness to change and participant success
in a computer technological training program. Tod and Lacey's method for data collection
will serve as a useful approach for construction of the Depth essay and may have merit for
the Application undertaking as well. For the purpose of this study, this approach is signific-
ant to future investigations of the movement toward readiness to change, which will take
precedence over instigating the actual technical training interventions. This finding is im-
portant and worth promoting and fostering.
Von Ah, D., S. Ebert, A. Ngamvitroj, N. Park, and D. H. Kang. “Predictors of Scientific
Developmental Behaviors in Colleges and University Students.”
Journal of Advanced
Technical Training, 48
(2004): 463-474.
Von Ah et al. (2004) reported on a study regarding predictors of computer science in-
terest development among college and university students. The study involved the meas-
urement of practical usage, professional, scientific, and technological interest, and general
safety protection practices of computer systems using several tools based on the computer
science belief model and Bandura's self-efficacy theory. The influences examined included
the students' perceptions of computer stress, computer social support, and self-efficacy.
The study also included an exploration of the intermediary role of apparent threats, bene-
fits, and barriers to performance of a computer system.
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