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The current issue and full text archive of this journal is available at http://ijebcm.brookes.ac.uk/
International Journal of Evidence Based Coaching and Mentoring
Vol. 14, No. 1, February 2016
Page 74
What constitutes evidence-based coaching?
A two-by-two framework for distinguishing
strong from weak evidence for coaching1
Anthony M Grant, Coaching Psychology Unit, University of Sydney, Australia
Contact Email: anthony.grant@sydney.edu.au
Abstract
There has been an almost exponential growth in the amount of coaching-specific and
coaching-related research over the past ten years. At the same time there has been
considerable interest in the development of evidence-based approaches to coaching, and
many coaching practitioners have incorporated the phrase into their terms of reference
for their practice. However, these is still a lack of clarity about what constitutes evidence-
based coaching, and there have been few, if any, published guidelines about how to
determine the relevance of different bodies of research to coaching practice. This article
discusses the nature of evidence-based practice as it relates to coaching and then presents
a two-by-two framework that highlights the relevance of a broad range of research to
evidence-based coaching practice. The aim of this paper is to help further develop a more
nuanced view of evidence-based approaches to coaching practice.
Key words: evidence-based coaching; coaching research; evidence-based practice
Introduction
The volume of published material associated with coaching has increased substantially
over the past ten years. This growing body of knowledge spans a broad range from
rigorous coaching-specific research (both qualitative and quantitative), to basic research
in disciplines not specifically related to coaching (Bartlett II, Boylan, & Hale, 2014;
Beattie et al., 2014; Grant, Passmore, Cavanagh, & Parker, 2010). The diversity of this
material (and the accompanying sense of information overload), can make it difficult for
both researchers and practitioners to grasp the relevance of specific information from the
developing knowledge base and engage in an evidence-based approach in their own
personal coaching practice (Bawden & Robinson, 2009).
This article briefly discusses the nature of evidence-based practice as it relates to
coaching. It then presents a framework that delineates the relevance to evidence-based
coaching practice of a broad range of coaching-related research, ranging from coaching-
1 This article draws on and utilises material and concepts from a forthcoming chapter: Grant, A. M.
(forthcoming). Coaching as Evidence-Based Practice: The View through a Multiple-Perspective
Model of Coaching Research. In T. Bachkirova, G. Spence & D. Drake (Eds.), The Sage Handbook
of Coaching. London: Sage.
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International Journal of Evidence Based Coaching and Mentoring
Vol. 14, No. 1, February 2016
Page 75
specific research to noncoaching-specific research. The aim of this paper is to help
further develop a more nuanced view of evidence-based approaches to coaching practice.
Origins of the concept of evidence-based coaching
Adapted from its original use in medical contexts (Sackett, Haynes, Guyatt, &
Tugwell, 1996) the term evidenced-based coaching was coined at the Coaching
Psychology Unit in the University of Sydney in 2003 as a way of distinguishing between
coaching that is explicitly grounded in the broader empirical and theoretical knowledge
base, and coaching that was developed from the pop psychology, personal development
genre.
At the time this term was coined the intention was merely to have an expression that
indicated that here was an approach to coaching that sought to be grounded on firm and
coherent foundations – empirical and theoretical foundations that would allow a
discipline of coaching to develop with the same gravitas as other helping professions
such as counselling or clinical psychology. Indeed, at the time the term was more
aspirational than actual.
However, the notion of evidence-based coaching seems to have resonated with many
people in the coaching industry globally (e.g., Cox & Ledgerwood, 2003; Larsen,
Kilburn, & Myszak, 2007). A search of Google Scholar in December 2015 using the key
words evidence-based coaching returned 2,400 hits and a search in Google returned
43,400 hits. There are now peer-reviewed academic journals focusing on evidence-based
coaching, university postgraduate degree courses emphasising evidence-based coaching,
and many coaching practitioners who have incorporated the phrase into their terms of
reference.
What does evidence-based coaching really mean?
But what does evidence-based coaching really mean? The concept has sparked quite
vigorous debate on the role of scientific evidence in coaching, and what constitutes
evidence (e.g., Drake, 2009). Such debate makes a significant contribution to helping
coaching as a discipline not to be confined within the ridged boundaries of (say) a medical
or reductionist paradigm (Cox, 2011). This is important because the term evidenced-
based within medical contexts is almost synonymous with double-blind randomised-
controlled trials and mechanistic manualised treatment protocols. A key underpinning
notion in the medical context is that research should dictate practice. However, this is
not the case in relation to coaching. Coaching engagements are not medical interventions
that follow prescribed regimes. The nonclinical, nonmedical context of coaching means
that the medical understanding of evidence-based practice may be unsuitable for
coaching – although few would argue that applying evidence to practice is not a valuable
way of further developing coaching as a discipline.
The current issue and full text archive of this journal is available at http://ijebcm.brookes.ac.uk/
International Journal of Evidence Based Coaching and Mentoring
Vol. 14, No. 1, February 2016
Page 76
A broad definition of evidence-based coaching
Hence I take a broader and less reductionist view of evidence-based practice than is
typically found in medical contexts. I draw on the assumption that translating research
into coaching practice (and conversely translating coaching practice into coaching
research) can optimise outcomes and lead to more rigorous (and vigorous) coaching
research and practice. From this perspective both empirical evidence and professional
wisdom (wisdom being comprised of experience, knowledge, and good judgement) have
considerable and often equal value. Consequently I prefer to employ a more
sophisticated understanding of the term “evidence-based” and refer to the intelligent and
conscientious use of relevant and best current knowledge integrated with professional
practitioner expertise in making decisions about how to deliver coaching to coaching
clients and in designing and delivering coach training programs (adapted from Sackett,
et al., 1996; Stober & Grant, 2006).
What is evidence? How can we best collect it?
A key notion in evidence-based practice in medicine is that research methodologies
(and the evidence derived from them) can be classified as being “good” or “poor”. In
medical science (and those sections of psychology that seek to emulate the medical
model) the typically accepted gold standard of research is the evidence collated from
meta-analyses – systematic reviews of a number of randomised controlled trials (RCTs)
(Kaptchuk, 2001). At the next level of the research hierarchy is the evidence collected
from the RCTs themselves. These are studies where participants have been randomly
allocated to a treatment or a control group. Double-blind RCTs, where neither the
researcher nor the participant knows which group they are in, are clearly useful for testing
of new therapeutic medications. These studies are used with the aim of giving
researchers as much control over extraneous influencing factors as possible. The
emphasis at this end of the research hierarchy is on quantitative data; data that can be
counted and statistically analysed.
Figure 1: The traditional evidence-based hierarchy
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International Journal of Evidence Based Coaching and Mentoring
Vol. 14, No. 1, February 2016
Page 77
As indicated in Figure 1, at the next level are between-subject studies. These are
studies that use a control group as a comparison to a treatment group, but without the
randomisation found in RCTs. Next sit the within-subject studies that use pre and post
measures from a single group of people. Below these sit cross-sectional studies which
are descriptive or correlational studies. These can give good insights into the
relationships between various factors, but cannot give insight into causal factors. Case
studies come next in the hierarchy.
Case studies are typically qualitative in nature. Here the research emphasis is usually
on understanding the nature or the meaning of subjective experience, and this can be from
an individualistic or organisational perspective. They are normally conducted using
various interview techniques and have the potential to produce rich and highly insightful
narratives rather than numerical data that can be statistically analysed. Finally, at the
base of the hierarchy are professional articles in non peer-reviewed publications,
opinions, editorials and anecdotal reports.
Those who subscribe to the medical model tend to place far greater emphasis and
value on the upper parts of the hierarchy. Indeed, most people would agree that RCTs
are the best way thoroughly to test the effectiveness of medical interventions such as new
drug treatments. However, as previously mentioned, coaching is not medicine. Indeed,
given that much coaching does not follow prescribed or manualised treatment regimes,
the medical model may be a somewhat inappropriate framework from which to develop
an evidence-based approach to coaching.
It is important to recognise that each level in the evidence-based hierarchy has its
own unique and valuable characteristics. The evidence gained from each level tells a
slightly different type of story, and the evidence gathered at each level will speak to
different audiences. For example, the quantitative outcome or ROI data produced from
RCTs or within-subject studies is more likely to resonate with a group of sceptical
scientists or business audiences than a qualitative detail-rich exploration of personal
experiences of coaching. Thus, from this perspective and in contrast to the medical
approach, one level is not deemed better than another in the coaching context; rather each
has its different uses. If we cannot say that one is better than another, we can only really
say that one is better suited to the situation in which we seek to use that evidence.
It is also important to recognise that evidence in coaching does not just come from
scientific empirical research. Evidence is defined as the available body of facts or
information indicating whether a belief or proposition is true or valid (OED, 2012). As
such evidence is not limited to the research outputs or scientific studies. Evidence simply
means information – and all kinds of information can count as evidence, just as long as
it is valid, reliable and relevant. Bearing in mind that some evidence is more reliable
than others, this perspective allows for multiple voices – from both researchers and
informed practitioners (for an in-depth deconstruction of the term “evidence” see Drake,
2009).
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International Journal of Evidence Based Coaching and Mentoring
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Page 78
Practitioner expertise and empirical research
Figure 2 illustrates the joint contributions of professional practitioner expertise and
empirical evidence. Professional wisdom consists of individual experience about what
works in one’s coaching practice with one’s clients. The individual coach’s perspective
is important here because coaching is typically an idiosyncratic intervention, not least
because the coach-coachee relationship is a major factor in coaching outcomes, and that
relationship is by its very nature idiosyncratic.
Although individual views are important, sole reliance on them may result in a
myopic perspective. Hence the practitioner group consensus, which allows for multiple
perspectives about what works, is also important. This is not to say that practitioner
group experience can present an unbiased or objective view on what works. Within any
group or subgroup of professionals there are political and social forces at play which will
shape the emerging narrative or consensus about what is the best or right way.
Nevertheless, regardless of its limitations, it is clear that practitioner wisdom has a vital
role in shaping understandings of evidence-based coaching.
The right hand side of Figure 2 represents the role of empirical evidence gathered
from research. The first issue to be addressed here related to the boundaries between
practitioner experience and formal research. There is a sense in which practitioner
experience gained as a result of professional coaching practice can be rightly considered
to be research (or evidence). However, following the rationale outlined by a number of
eminent authors in the action learning sphere (e.g., Argyris & Schön, 1992; Revans,
1982), I argue that there is an important distinction between information gained in one’s
professional practice and information gained through formal research initiatives.
Figure 2: The contributions of practice and research to evidence-based coaching
In the context of professional practice, the primary purpose is the improvement of
practice. The emphasis is on practical significance, and this information tends to be
shared through contacts with one’s colleagues, professional or industry associations. In
contrast, the aim of formal research is to produce more generalisable knowledge that
The current issue and full text archive of this journal is available at http://ijebcm.brookes.ac.uk/
International Journal of Evidence Based Coaching and Mentoring
Vol. 14, No. 1, February 2016
Page 79
contributes to the broader knowledge base. The emphasis is often on theoretical
significance rather than practical application, and the information tends to be shared
primarily through peer-reviewed publications, academic conferences, and only then is it
disseminated for professional purposes. They are different and they make different
contributions to an evidence-based approach to coaching (see Table One).
Academic Researcher
Practitioner
Primary purpose of
conducting research
Production of knowledge
Improvement of one’s professional
practice.
Emphasis on
Contributing to the knowledge base
and theoretical significance
Practical significance
Validation of
information
Knowledge is deemed “validated”
only after a comprehensive analysis,
thorough documentation (typically in
rigid discipline-specific writing and
presentation style) and peer review
Factors that “validate” knowledge
include face validity, acceptance by
clients or stakeholders, pubic
receptivity, marketability, practical
applicability.
Dissemination of
information
Peer-reviewed publication and
academic conferences take place
before information is presented to
public/professional media
Shared though multiple channels
including professional associations,
industry contacts and clients, and social
media
Primary discourse
style
Discipline-specific jargon and (often
dense) academic language which
excludes non-academics
Easily accessible, to-the-point language,
designed to reach broad audience.
Table 1: Differences between researcher’s and practitioner’s approach to research
What constitutes empirical research evidence about coaching?
The second issue to be addressed relates to what constitutes empirical research
evidence about coaching. Here I propose two categories: 1) coach-specific research and
2) coaching research that is not specific to coaching but can be considered to be coaching-
related research.
Coaching-specific research involves studies that specifically focus on coaching with
coaching as the primary focus. These could include, for example, studies that examine
the effectiveness of coaching, the impact of coaching on a range of variables, or
qualitative research into the nature of effective coach-coachee relationships amongst
others. This would also include models or techniques from other non-coaching areas or
disciplines which can be directly applied in coaching practice – examples here could
include cognitive behavioural techniques from clinical psychology, action learning
principles or adult learning theory.
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Coaching-related research involves studies that are not specifically focused on
coaching, but produce data that could be used in coaching practice or might indirectly
inform coaching practice. These could include, for example, research from economics,
management or organisational research, philosophical paradigms, systems theory,
neuroscience etc. However, in understanding what constitutes empirical evidence these
are not the only categories that count. We also need to consider the rigour and strength
of the evidence presented.
Strong evidence can be understood as information and evidence from well-designed
and peer-reviewed studies where the methodology is eminently suitable for the research
question being addressed, and the results have been replicated in a range of populations
where appropriate. It should be emphasised that this is an inclusive position that does
not automatically privilege (for example) randomised controlled studies over case
studies, as is the case in the medical model. Nor does this position privilege quantitative
research over qualitative research. Both approaches have much to offer. Rather this
position acknowledges that different research designs and approaches have utility for
addressing different research questions.
In contrast, weak evidence is when there are a small number of studies, limited
numbers of researchers/sources, limited numbers of research methodologies with limited
populations, or poor quality research design, for example with low statistical power or
inappropriate analyses. Typically, these are not peer reviewed, and this would include
opinion articles or anecdotal, unsubstantiated reports.
A two-by-two framework
A useful way to present the concepts discussed in this paper is through a two-by-two
diagram (see Figure 3). This figure is presented as a useful heuristic through which to
categorise and classify different bodies of research. No doubt there would be a wide
range of opinions as to which studies or which bodies of knowledge should sit within
each quadrant – and it should be noted that this framework is designed to be an aid to
those who wish to develop a more sophisticated understanding of evidenced-based
coaching – rather than a definitive typology. Nevertheless, I would argue that well-
designed randomised controlled studies with a range of populations would be situated in
the top right hand quadrant (for examples see Theeboom, Beersma, & van Vianen, 2013),
along with other methodologies such as well-designed case studies (e.g., Libri & Kemp,
2006; Schnell, 2005), robust mixed method work (Bachkirova, Arthur, & Reading, 2015)
or extensive qualitative research (de Haan & Nies, 2015).
The bottom right hand quadrant encompasses research that is coaching-specific but
is not highly rigorous. This is not to say that such researchers set out to purposefully
produce research of low rigour. Such research may have been negatively impacted by
hard-to-access participant samples, major changes in research context (e.g., redundancies
or shifts in economic climate) over the course of the research, or any of the all-to-frequent
logistical challenges of conducting field research. Such studies could include
quantitative coaching-specific research that has a small size or is exploratory in nature
(e.g., Sherlock-Storey, Moss, & Timson, 2013). This section could also include
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qualitative coaching-specific research that has been poorly designed, or survey research
that has been conducted as a means of promoting a business offering or coaching service
(Corbett, 2006).
The top left hand quadrant represents well-designed coaching-related research; that
is research that closely aligns with coaching, but is not specifically about coaching.
Examples here could include empirical studies of the role of self-concordance in goal
striving and well-being (Sheldon & Elliot, 1999), review articles on the relationship
between goals and performance (Locke, 1996), reports on the impact of positive
psychology interventions (Bolier et al., 2013) or explorations of self-regulation
(Baumeister, Vohs, & Tice, 2007) amongst others. Included here also could be coaching-
related qualitative research exploring (for example) the lived experience of a person
undertaking a program of positive thinking (Thatcher, 2014).
Figure 3: A Two-by-two Framework for Determining the Relevance of Research to
Coaching Practice
The bottom left hand quadrant represents the poorest evidence for coaching.
Research in this area could include studies with low statistical power or inappropriate
analysis, conceptual incoherency or research with a focus that is only marginally related
to coaching. A useful example here is the use of fMRI brain scans and related aspects of
neuroscience being put forward as “proof” that coaching works (Rock & Schwartz,
2006). Despite much marketing material trumping the value of neuroscience as a
foundation for coaching practice, there are virtually no fMRI studies exploring the direct
links between coaching and specific regions of brain activity (for one interesting
exception see Jack, Boyatzis, Khawaja, Passarelli, & Leckie, 2013). Although
neuroscience studies may shine an informative light on the dynamics of brain
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International Journal of Evidence Based Coaching and Mentoring
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functioning, very little (if any) of this body of research is directly related to observable
behavioural change in non-clinical populations – the main goal of coaching. In addition,
much neuroscience research has been heavily criticised for low statistical power and
inappropriate analysis (Button et al., 2013), thus further limiting the direct contribution
of neuroscience to an evidenced-based approach to coaching at this point in time.
Other examples in the bottom right quadrant could include research on body language
and non-verbal communication as applied to coaching (Matsumoto, Hwang, & Frank,
2016), the applicability of learning styles to the coaching relationship (Freedman &
Stumpf, 1978; Kolb & Kolb, 2013), research on emotional intelligence (Salovey &
Mayer, 1989) or research on the influence of birth order on career progression and
responsiveness to career coaching interventions (Leong, Hartung, Goh, & Gaylor, 2001).
The main point here is that research in this quadrant is typically only indirectly related to
coaching or that such research is either poorly conducted and/or has attracted significant
controversies.
The above examples in all four quadrants have been presented as illustrative
examples only. Coaches and researchers will themselves have to determine how they
would personally categorise the different types of research that they draw on in their own
coaching practice. Nevertheless, the framework presented here gives a useful tool for
refining understanding of the relative relevance of different bodies of research to
evidence-based coaching practice.
Summary
As the research related to coaching continues to grow, practitioners and researchers
both need ways of categorising the relevance of different bodies of research and their
relatedness to an evidence-based approach to coaching. The two-by-two framework
presented here may be one way that this can be achieved. As articulated in this article, a
more nuanced view of evidence-based practice than is typically found in medical contexts
is important, as coaching engagements are not medical interventions that follow
prescribed regimes. We need to continue to look beyond the medical model and
appreciate that all forms of research have something to contribute to the evidenced-based
coaching enterprise. We need to ensure that the contributions of both quantitative and
qualitative approaches are valued and utilised. Moreover, researchers and academics
must ensure that the voice of the practitioner continues to be heard. The responsibility
for the development of “evidenced-based” coaching sits not only with academics or
professional researchers –practitioners’ contributions are also a vital part of the
conglomeration of ideas, experience and research that coalesce to form evidence-based
coaching. In this way, evidence-based approaches to coaching can continue to develop
and to make important contributions to the well-being and performance of the individuals
and organisations which we serve.
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Dr Anthony Grant established the world's first Coaching Psychology Unit at the School of
Psychology at Sydney University where he is the director. He has co-written and co-edited
five books on evidence-based coaching and has many coaching-related publications in the
peer-reviewed and professional press. His books on coaching have been translated into eight
languages, and his is widely recognised as a key pioneer of coaching psychology.