Table
3: Questionnaire
development steps.
Step |
Purpose |
Methods |
1. Determine what is to be
measured |
Select and study a well-grounded
theory to develop hypotheses, constructs and concepts related to the
phenomenon being measured |
Review of Rogers’ Diffusion of
Innovations theory which explains characteristics that influence a NP to have
awareness-knowledge of GINA. Theoretical components to be synthesized into
constructs/concepts in order to generate questionnaire items. |
2. Generate an item pool from
review of literature |
To propose self-report/response
data collection items that facilitate responses representing variables that
influence awareness of GINA. |
Draft items for scale responses
according to constructs/concepts of the theory. asking level of importance by
dissertation committee members in assessing awareness-knowledge of GINA in
NPs |
3. Determine the format for
measurement |
To determine what scales are most
compatible with the theory: constructs and concepts |
Occurs simultaneously with
generation of questionnaire items so that the two steps are compatible |
4. Initial questionnaire item pool
reviewed by experts |
To establish content validity |
Nine nurse practitioners with
genetic expertise scored the questionnaire items for content validity index
to prepare questionnaire for transfer to Qualtrics® survey software for field
testing |
5. Consider inclusion of
validation items/field test revised questionnaire |
Test reliability in a small sample
Interact with subjects regarding readability, item burden and testing
problems |
Refined questionnaire items on
Qualtrics® survey software. Utilize ten Clemson University NPs, not
possessing genetic expertise and not included in the sample population, to
identify questionnaire administration problems. |
6. Administer final revised online
questionnaire to pilot sample |
To evaluate for construct validity
and reliability |
Utilize pilot sample to include
members of two SC NP associations |
Use findings to evaluate future
development steps |
Cronbach’s
alpha for reliability Descriptive statistics for construct validity |