Reliability refers to the ability of a questionnaire to measure accurately.
Internal consistency reliability (Marshall & Hales, 1972) is determined by checking
the components of a questionnaire against each other. Internal consistency reliability in
the form of Cronbach's Alpha is the type reported in this document.
Internal consistency reliabilities vary from a low of 0 to a high of 1.0 and represent the proportion of the variance in the respondents' scores that are attributable to true differences on the psychological construct (DeVellis, 1991). The following guidelines have been proposed by DeVellis regarding acceptable reliabilities for research instrument scales:
| below .60 | unacceptable |
| between .60 and .65 | undesirable |
| between .65 and .70 | minimally acceptable |
| between .70 and .80 | respectable |
| between .80 and .90 | very good |
| much above .90 | consider shortening the scale |
(DeVellis, 1991, p.85).
| Instruments | Reliabilities |
| Young Children's Computer Inventory | YCCI |
| Computer Attitude Questionnaire | |
| Teachers Attitudes Toward Computers Questionnaire | TAC |
| Teachers' Attitudes Toward Information Technology | TAT |
| Faculty Attitudes Toward Information Technology | FAIT |