Creswell and plano clark 2011
Bachman mo, o’brien m, husbands c, shreeve a, jones n, watson j, reading r, thoburn j, mugford m, the national evaluation of children’s trusts team integrating children’s services in england: national evaluation of children’s trusts. This paper reviews the principles and practice of purposeful sampling in implementation research, summarizes types and categories of purposeful sampling strategies and provides a set of recommendations for use of single strategy or multistage strategy designs, particularly for state implementation ds: mental health services, children and adolescents, mixed methods, qualitative methods implementation, state systemsrecently there have been several calls for the use of mixed method designs in implementation research (proctor et al.
Creswell and clark 2011
In one study (goia & dziadosz, 2008), criterion sampling was used in a simultaneous design where quantitative and qualitative data were merged together in a complementary fashion, and in two studies (aarons et al. Summary and ix a: an example of the convergent parallel ix b: an example of the explanatory sequential ix c: an example of the exploratory sequential ix d: an example of the embedded ix e: an example of the transformative ix f: an example of the multiphase ix g.
Plano clark sage, 2011 isbn ( )1412975174, 9781412975179 457 bibtex endnote refman google - - - - - - sitemap - google . For instance, using qualitative methods for the purpose of complementarity may require that a sampling strategy emphasize similarity if it is to achieve depth of understanding or explore and develop hypotheses that complement a quantitative probability sampling strategy achieving breadth of understanding and testing hypotheses (kemper et al.
While rct designs provide the highest level of evidence, “in many clinical and community settings, and especially in studies with underserved populations and low resource settings, randomization may not be feasible or acceptable” (glasgow, et al. New and revised activities and exercises conclude each ted retail price: $ore price: $ted retail price: $ore price: $ted retail price: $ore price: $ materials & r 1 - the nature of mixed methods researchchapter 3 - choosing a mixed methods select a format:Paperbackelectronic from:vitalsource.
Criterion-i sampling was most frequently used in mixed methods implementation studies that employed a simultaneous design where the qualitative method was secondary to the quantitative method or studies that employed a simultaneous structure where the qualitative and quantitative methods were assigned equal priority. However, this review did not consider the sampling strategies involved in the types of quantitative and qualitative methods common to implementation research, nor did it consider the consequences of the sampling strategy selected for one method or set of methods on the choice of sampling strategy for the other method or set of methods.
Ideally, the goal of achieving theoretical saturation by providing as much detail as possible involves selection of individuals or cases that can ensure all aspects of that phenomenon are included in the examination and that any one aspect is thoroughly examined. Of family issues 29 (11), 1543-1566, 20081822008advances in mixed methods researchjw creswell, vlp clark, al garrett1662008foundations and approaches to mixed methods researchnv ivankova, jw creswell, vl plano clarkfirst steps in research.
Each methodology, in turn, has different expectations and standards for determining the number of participants required to achieve its aims. Such a consideration requires a determination of the objectives of each methodology and the potential impact of selecting one strategy to achieve one objective on the selection of other strategies to achieve additional this paper, we present different approaches to the use of purposeful sampling strategies in implementation research.
As morse and neihaus (2009) observe, when the initial method is qualitative, the sample selected may be too small and lack randomization necessary to fulfill the assumptions for a subsequent quantitative analysis. A multistage iii model begins with sampling for variation and ends with sampling for similarity, but may involve one or more intervening stages of sampling for variation or similarity as the need or opportunity tage purposeful sampling is also consistent with the use of hybrid designs to simultaneously examine intervention effectiveness and implementation.
To some extent, they are assumed to be “representative” of that role, although implementation studies rarely explain the rationale for selecting only some and not all of the available role representatives (i. Brown ch, wang w, kellam sg, muthén, prevention science and methodology group methods for testing theory and evaluating impact in randomized field trials: intent-to-treat analyses for integrating the perspectives of person, place, and time.
Second, there are a not insignificant number in the qualitative methods field who resist or refuse systematic sampling of any kind and reject the limiting nature of such realist, systematic, or positivist approaches. On the other hand, the aim of convergence (answering the same question with either method) may suggest use of a purposeful sampling strategy that aims for breadth that parallels the quantitative probability sampling 1purposeful and random sampling strategies for mixed method implementation studiesfurthermore, the specific nature of implementation research suggests that a multistage purposeful sampling strategy be used.
University of nebraska-lincoln) is an assistant professor in the quantitative and mixed methods research methodologies concentration of educational studies at the university of cincinnati. Reviewers and staff for review panels at nih who evaluate applications that include mixed methods research;.
Curran and colleagues (2012) suggest that evaluation of the intervention’s effectiveness will require or involve use of quantitative measures while evaluation of the implementation process will require or involve use of mixed methods. Failure to improve appropriateness of referrals to adult community mental health services – lessons from a multi-site cluster randomized controlled trial.
Vl plano clark, jw creswellpearson higher ed, 2014493*2014how interpretive qualitative research extends mixed methods researchjw creswell, r shope, vl plano clark, do greenresearch in the schools 13 (1), 1-11, 20062592006the adoption and practice of mixed methods: us trends in federally funded health-related researchvl plano clarkqualitative inquiry, 20101862010mixed methods approaches in family science researchvl plano clark, ca huddleston-casas, sl churchill, don green, ... For instance, purposeful sampling for a hybrid type 1 design may give higher priority to variation and comparison to understand the parameters of implementation processes or context as a contribution to an understanding of effectiveness outcomes (i.
Maximum variation sampling, extreme case sampling, intensity sampling, and purposeful random sampling) are used to identify and expand the range of variation or differences, similar to the use of quantitative measures to describe the variability or dispersion of values for a particular variable or variables, while other strategies (e. In contrast, probabilistic or random sampling is used to ensure the generalizability of findings by minimizing the potential for bias in selection and to control for the potential influence of known and unknown morse and niehaus (2009) observe, whether the methodology employed is quantitative or qualitative, sampling methods are intended to maximize efficiency and validity.
This is especially important in state implementation research, where fiscal necessities are driving policy reforms for which knowledge about ebp implementation barriers and facilitators are urgently needed. On the other hand, selecting participants on the basis of whether they were a practitioner, consumer, director, staff, or any of the above, may fail to identify those with the greatest experience or most knowledgeable or most able to communicate what they know and/or have experienced, thus limiting the depth of understanding of the implementation address the potential limitations of criterion sampling, other purposeful sampling strategies should be considered and possibly adopted in implementation research (figure 1).