Introduction
NPT can be used as a framework for the development of survey
instruments, to enable the collection of quantitative data in a
standardised format. For this purpose, the NPT can provide a
guide only - it does not prescribe a set of
questions that can be used as measures of the theory. What it does
provide however, is (a) a set of theoretical constructs and their
constitutive dimensions that represent key normalisation processes
for which questions can be developed, and (b) particular ways
of thinking about normalisation (ie. Focusing on the 'work';
focusing on collective and collaborative activity) that suggest
ways of framing survey questions.
In this section, we outline some possible ways of converting the
theoretical constructs into structured questions for use in
quantitative research. This involves two key areas which are to be
discussed: (i) translating theoretical constructs into questions;
and (ii) finding appropriate ways of framing survey items with
appropriate response categories/scales.
1. Translating theoretical concepts
into survey items
The theoretical constructs in the NPT can be used as a starting
point for the construction of survey items. For example, let's
consider the mechanism of Coherence, and the three
propositions that the NPT offers regarding it:
1.1 Embedding is dependent on work that defines and
organizes a practice as a cognitive and behavioural
ensemble.
1.2 Embedding work is shaped by factors that promote or
inhibit actors' apprehension of a practice as meaningful.
1.3 The production and reproduction of coherence in a
practice requires that actors collectively invest meaning in
it.
The work of translation might begin either by (a) translating
the propositions or construct definitions themselves into plain
language statements relevant to your own context of study,
or (b) using the propositions or construct definitions in their
theoretical form as a basis for developing a set of appropriate
questions for your own context of study. It is likely that
the development of structured items for your own survey would
involve some combination of both of these approaches.
To take approach (a) for example, you might consider the meaning
of terms such as 'embedding' and 'embedding work' in the context of
your study. If the practice in question is use of a computerised
decision support tool, then what do you consider to be important
aspects of embedding - is it about how often it gets used? Is it
about it becoming easier to use? Is it about being integrated and
linked with other existing practices? The point here is, that
concepts specified within the NPT can only be translated into
meaningful terms in the context of what you are using the NPT to
study. Looking again at the propositions for Coherence, what
'cognitive' (psychological/attitudinal) and 'behavioural' (actions)
are relevant to making a particular practice that you are studying
meaningful?
Translation work of this kind is likely to be necessary and
ongoing throughout the course of using the NPT, whether this is for
quantitative or other uses of it. An alternative starting point for
the development of survey items however, may be to use the
propositions or definitions of constructs and/or their components
to generate questions that are relevant to your study.
Taking the definition offered for the construct of Coherence,
some questions that might be asked about your practice of interest
might include:
- Does it make sense?
- Is it easy to describe or explain?
- Is it clearly distinct from other ways of doing the job?
- Does it have a clear purpose?
- Does it offer benefits that are likely to be valued by those
involved?
This kind of translation work is aimed at drawing on the NPT to
identify important areas of questioning for inclusion in your
study. The questions in the form above provide some focus for the
development of items for inclusion in a survey. At present, the
questions imply a 'yes/no/maybe' answer. Further development of
questions into survey items however involves considering what
kind of data you wish to collect in a structured survey. This
is considered in the next section, however, on the issue of
translation from theory to questions there are some things to
consider.
Things to consider:
- In using the NPT in this way, you may find that you either
interpret concepts differently from how someone else may interpret
them, or you may place more emphasis on some aspects and less on
others. That's okay - what is important is that you are able to
translate the concepts used in the theory for the development of
questions that are relevant to your study.
- Translation work generally involves breaking down more
encompassing statements (like the propositions for coherence) into
multiple component parts. This can be done to various levels of
detail - how detailed you wish to do this is up to you and may be
dependent on the requirements of your study. Something you may wish
to consider though - if you are looking to develop construct-level
measures that include combinations of individual questions - is how
you might 'build' these back up. For example, if a description of
the component: Contextual Integration (Construct: Collective
Action) framed in relation to e-health says '....the
extent to which organisational effort is allocated to an e-health
in proportion to the work that the system is intended to do' it can
be deconstructed into two statements:
- 'sufficient organisational effort has gone into supporting the
system' and
- 'the rewards of using the system outweigh the effort'
Depending on the context of your own study, you may wish to use
and analyse simplified statements separately, or you may with to
combine them back together, for example by creating a composite
score between two or more component items.
- Sometimes, it may not be possible to include a large number of
detailed questions in a survey. Another way of dealing with the
translation of complex theoretical constructs into questions is to
preface questions with definitions of terms/scope, and/or
explanations that help the person answering the questions to
respond in a focused way. For example, a set of coherence questions
about whether or not a practice is considered 'meaningful', could
be prefaced by an explanation such as 'meaningful in this context
refers to easy to understand/has value for individuals/has a clear
purpose'.
- It is possible that you may be using the NPT alongside other
theoretical approaches, some of which may have been developed to
different degrees for survey research. The kind of translation work
described in this section should help you in identifying how the
concepts of the NPT do or do not translate into questions that
overlap with, or contribute additionally, to other theoretical
approaches you may wish to include in your study.
2. Framing survey items and developing
response formats
Once you have a set of questions or items that reflect the
content that you wish to include in your survey, you need
an appropriate way of framing them for data collection. How to do
this depends on the kind of information you want to get from your
survey.
One way of framing questions based on the NPT is to focus on the
impact of a new practice. Drawing on the NPT (for example,
Construct: Collective Action;
Component: Relational Integration), a
potential question may be framed as follows:
How much does [X] affect the distribution of work between
individuals?
[ ] Not at all
[ ] A bit
[ ] Moderately
[ ] Quite a lot
[ ] Greatly
This question is intended to generate data about the
impact of X, and as such the question is framed with
reference to a previous state. That is, the question is asking the
respondent to make an assessment of how things are changing/have
changed with the introduction of the new practice [X]. Since the
NPT is interested in questions about normalisation - processes that
involve change of some kind - questions about impact are
an appropriate way of framing questions in a study using the NPT.
Depending on the response categories used for a question such as
that presented above, the question could be used to assess impact
in a number a ways - it could be about the degree of
impact, it could be about direction (ie. Positive or
negative), or a combination of both. For example, a similar
approach to questioning about impact in a way that includes
assessment of the direction of impact could be:
What is the impact of [X] on the distribution of work
between individuals?
[ ] Extremely negative
[ ] Quite negative
[ ] More negative than positive
[ ] Not noticeable
[ ] More positive than negative
[ ] Quite positive
[ ] Extremely positive
Both types of questions can be used to assess the amount of
impact that a practice [X] has with respect to mechanisms and
components in the NPT. The choice of questioning format depends on
the objective of your particular study.
So far, the types of question framing suggested are ways of
assessing the impact of a particular practice, although
(implicitly) they invite comparison to a previous state in which
[X] wasn't in use. Alternative question framings could be developed
that make direct comparisons with other possible
practices, or (more explicitly) with standard previous practice.
For example, you may wish to use the concepts of the NPT to develop
questions for assessing a new practice [X] 'compared with' previous
practice [Y].
Another approach to developing a frame for questioning is to use
the popular 'likert' type format, in which you develop a series of
statements which are then rated by individuals on a scale of
agreement (often ranging from 'strongly agree' to 'strongly
disagree'). The concepts used by the NPT are amenable to
translation into such statements for rating in this way, for
example:
- The staff who work here have a shared understanding of what
the e-health system is used for (Construct: Coherence)
- The staff here are committed to making this e-health system
work (Construct: Cognitive
participation)
- There are ongoing mechanisms for monitoring and appraising
how this e-health system is used (Construct: Reflexive
Monitoring)
Things to consider:
- Choosing an appropriate way of framing your questions depends
entirely on the kind of information you want your survey to collect
- do you want the respondent to make comparisons? If so, with what
(eg. Other practices, or over time)?
- The point above relates mainly to matching your approach to
question framing with the design of your study. For example, if you
want to do a detailed study of one particular practice in a
specific setting then you could frame your questions as
specifically as possible to include named practices/systems, common
scenarios of use, particular groups of users, etc. Alternatively,
if the objective of your study is to use surveys to make
comparisons between (a) different practices within a site, or (b)
the same practice but across different sites, then you will
probably need to try to frame your questions more generically so
that the same questions can be given for the different situations
you are assessing in your study. It is also possible to combine
elements of both objectives (specific but also generic), for
example by using a common set of theory-derived questions across
sites/practices but to preface them with detailed information about
aspects of context that the respondent should think about when
answering the questions. For example, the question set could be
preceded by an introductory paragraph that explains the practice of
interest - for example, if it's a new technology, some references
to the technology/system by name, perhaps how long it has been in
use for in the participant's organisation, and the kinds of
staff/individuals who are likely to be using it.
- For sets of questions that have a common response format/scale
(ie. the same options for every question), you can consider mixing
the framing of the statements/questions in terms of positive or
negative emphasis. For example, the positively framed statement
'the e-health system is easy to use' could be framed negatively as
'the e-health system is difficult to use'. Mixed framing in this
way is sometimes used to encourage participants to read questions
carefully, and/or to identify contradictory responding (where
similar questions framed in the opposite direction have been
endorsed using a similar point on the response scale).
- Particular study designs will require response scales that
allow for a greater degree of quantification, and that are thus
more sensitive to picking up differences in responding (ie. that
offer a greater number of levels for the respondent to choose from)
than those with a limited (eg <7) range of response categories.
Two examples of such designs include longitudinal surveys
which collect data at different time points and require measures to
be sufficiently sensitive to detect change over time; and scale
development work, in which the measures must collect data that
can be considered sufficiently continuous (ie on a 'scale') for
anlaysis using statistical techniques (eg. factor analysis).