a multidimensional analysis of the epistemic origins of nursing
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International Journal of Nursing Studies 43 (2006) 113–122
www.elsevier.com/locate/ijnurstu
A multidimensional analysis of the epistemic origins of nursingtheories, models, and frameworks
Jason W. Becksteada,�, Laura Grace Becksteadb
aUniversity of South Florida, College of Nursing, 12901 Bruce B. Downs Boulevard, MDC 22, Tampa, FL 33612-4766, USAbUniversity of Tampa, USA
Received 9 September 2004; accepted 30 September 2004
Abstract
The purpose of this article is to introduce our notion of epistemic space and to demonstrate its utility for
understanding the origins and trajectories of nursing theory in the 20th century using multidimensional scaling (MDS).
A literature review was conducted on primary and secondary sources written by and about 20 nurse theorists to
investigate whether or not they cited 129 different scholars in the fields of anthropology, biology, nursing, philosophy,
psychology, and sociology. Seventy-four scholars were identified as having been cited by at least two nurse theorists
(319 citations total). Proximity scores, quantifying the similarity among nurse theorists based on proportions of shared
citations, were calculated and analyzed using MDS. The emergent model of epistemic space that accommodated these
similarities among nurse theorists revealed the systematic influence of scholars from various fields, notably psychology,
biology, and philosophy. We believe that this schema and resulting taxonomy will prove useful for furthering our
understanding of the relationships among nursing theories and theories in other fields of science.
r 2004 Elsevier Ltd. All rights reserved.
Keywords: Nursing theory; Multidimensional scaling; Epistemic space
Science is the systematic investigation and explanation
of the world around us. In order to organize their work
and its results, scientists have divided science into
major fields. Herbert (1959, p. 11)
1. Introduction
1.1. Epistemic space
The progress of science is the work of creative minds.
However, every creative mind that contributes to
e front matter r 2004 Elsevier Ltd. All rights reserve
urstu.2004.09.021
ing author. Tel.: +1813 974 7667;
5418.
ess: [email protected] (J.W. Beckstead).
scientific advance works within two limitations. It is
limited by ignorance, for each discovery waits upon that
other that gave way to it. Discovery and its acceptance
are also limited by the habits of thought that pertain to
the culture of any region or period; slow change is the
rule. Given that advances in science build upon
discoveries that have been widely accepted or sufficiently
established, we can envision scientific knowledge as
having a progressive, or positive trajectory, moving
from a position of less knowledge to one of more.
Different fields of science, or bodies of scientific knowl-
edge, may be said to have originated at different points
in history and to be growing at different rates, affected
by advances in relevant technology and cultural mores.
These developments take place in what we label as
epistemic space. Epistemic space is the unlimited expanse
d.
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Scie
nce
of th
e M
ind
(�)
Science of the Body (�)
New TheoreticalDevelopments
New TheoreticalDevelopments
EstablishedKnowledge
Nursing
Medicine
Fig. 1. Schematic representation of epistemic space showing the
relative placement of metaparadigms of nursing and medicine.
Science of the Mind encompasses psychology, anthropology,
and sociology. Science of the Body encompasses biology,
chemistry, and physics.
J.W. Beckstead, L.G. Beckstead / International Journal of Nursing Studies 43 (2006) 113–122114
in which all knowledge is located. Individual bits of
knowledge and the defined relationships among them
constitute the system of inquiry known as science. We
assume that the amalgamation of scientific knowledge
occurs within such space.
According to Kuhn (1977), the term metaparadigm
may be used to refer to the set of highly abstract
concepts that identify the phenomena of interest to a
scientific field or discipline. The metaparadigm is the
most abstract component in Fawcett’s (2000) structural
hierarchy of nursing knowledge containing the global
concepts of interest to the discipline and their relation-
ships. Metaparadigms summarize the intellectual and
social missions of a discipline and place a boundary on
its subject matter (Kim, 1989). As such, the metapar-
adigm guiding research in a discipline distinguishes that
discipline from others. The metaparadigm of nursing
identifies for the nurse researcher the study of ‘‘the
wholeness or health of humans, recognizing that hu-
mans are in continuous interaction with their environ-
ments’’ (Donaldson and Crowley, 1978). The
metaparadigm of medicine, in contrast, identifies for
the physician researcher the study of the causes,
diagnosis, and treatment of diseases (Fawcett, 1993).
Next we turn to the juxtaposition of these two
metaparadigms in epistemic space.
Our perspective, or weltanschauung, of nursing and
medical knowledge begins with Descartes’ dualism of
mind and body which provides a means for defining the
metric of our epistemic space. Believing as he did that
the body’s behavior can be in no way guided by purpose,
Descartes was naturally eager to show that there exists a
sharp distinction between body and mind. He split the
world into two types of being, volitional thought and
physical or spatial matter. Since his time, the specialties
of science have emerged consistent with this distinction.
Epistemic space may be represented using a multi-
dimensional coordinate system in which science exists
and expands outward from an origin (corresponding to
relatively established knowledge) in various directions
encompassing new theoretical developments. Consider
two perpendicular axes representing the trajectories of
scientific knowledge development. The first, C, corre-
sponds to the sciences of the mind (e.g., psychology,
sociology, anthropology, etc.) being spontaneous and
teleological. The second, b, represents the sciences of thebody (e.g., biology, chemistry, physics, etc.), being
wholly mechanical. Using such a metric, all scientific
knowledge in nursing and medicine may be positioned in
epistemic space by assigning general coordinates that
reflect the relative influences of established knowledge
from the sciences of psychology, biology, etc., as
reflected in their metaparadigms. We consider the health
sciences, namely nursing and medicine, as comprising
the application and adaptation of established scientific
knowledge (i.e., knowledge that is relatively close to the
origin of our epistemic space) to the promotion,
improvement, and maintenance of human health and
well-being. Thus, our placement of nursing and medicine
in epistemic space (see Fig. 1) is consistent with their
metaparadigms; nursing being more concerned with,
and more influenced by, established knowledge derived
from work in the social sciences, arguably offering more
teleologic explanations, while medicine is more con-
cerned with, and influenced by, the mechanistic ex-
planations afforded in biology and chemistry.
1.2. Purpose
The purpose of this article is to introduce our notion
of epistemic space and to demonstrate its utility for
understanding the origins and trajectories of nursing
theory in the 20th century using multidimensional
scaling (MDS). Whether a particular assemblage of
nursing knowledge qualifies as a philosophy, theory,
conceptual model, or an organizing framework, has
been debated by various scholars (e.g., Fawcett, 1993,
2000; Meleis, 1997; Reed, 1995; Whall, 1996). The
subtleties of such discussions are by no means trivial,
however, for our purposes we will use the term ‘‘nurse
theorist’’ to refer to those individuals who have
substantively affected the developments of nursing as a
science during the 20th century, and the term ‘‘theory’’
in reference to the body of their published work that has
lead to such developments.
1.3. Nursing theory and epistemic space
In comparison to other sciences, nursing is in the
early stages of scientific development (Bishop, 2002).
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ARTICLE IN PRESSJ.W. Beckstead, L.G. Beckstead / International Journal of Nursing Studies 43 (2006) 113–122 115
Examination of the published works by various nurse
theorists reveals that many of them have built upon the
established knowledge amassed in the mind–body
sciences, consistent with our notion of nursing’s
coordinates in epistemic space. Different foundational
ideas, both conceptual and philosophical, have predis-
posed nurse theorists to describe and explain the
phenomena of concern to the discipline in diverse ways
(Kim, 1999). Our concern is with such foundational
ideas. We propose that by analyzing patterns in the
citation of scholars it is possible to discern, with a
reasonable degree of objectivity, similarities in the
epistemic origins of nurse theorists’ foundational ideas.
In other words, it is possible to position nurse theorists
in epistemic space on the basis of the established
knowledge that influenced their critical thinking and
research endeavors. This approach to comparing nurse
theorists is taxonomic rather than typologic. These two
methods of classification are distinguished succinctly by
Hair and Black (1998): a taxonomy is an empirically
derived classification, while a typology is a conceptually
based one. To conduct this analysis, we employed a
quantitative technique known as MDS. This technique is
briefly explained below.
1.4. Multidimensional scaling
MDS comprises a family of geometric models for
representation of data in two or more dimensions and a
corresponding set of methods for fitting such models to
actual data. The goals of MDS are (a) to find a low (e.g.,
two or three) dimensional space in which points in the
space represent the objects being studied and such that
the distances between the points in the space match, as
well as possible, the original similarities (or differences)
between the objects and (b) to represent the space and
the relationships among objects as a geometric model or
picture. This second goal distinguishes MDS from
factor-analytic methods (Shepard, 1972). Factor-analy-
tic methods generally require a solution of greater
dimensionality than do MDS methods (Napier, 1972).
The MDS approach used in the current study is
nonmetric in the sense that the data are nominal (a
theorist cited, or did not cite a scholar). Typical (i.e.,
linear) factor analysis models have been criticized when
applied to dichotomous data due to the non-positive
definite nature of such covariance matrices, and non-
linear factor analysis models for determining dimension-
ality are unavailable or limited by sample size (see
Meara et al., 2000 for discussion).
The basic function of MDS may be illustrated by
using travel times between a group of cities in order to
reconstruct a map of their geographic locations. For
example, Greenacre and Underhill (1982) used flying
times between major airports. In this case, a single
attribute, travel time, served to quantify the proximity
or similarity between objects (i.e., cities). More interest-
ing applications have involved the use of multiple, and
less objective, attributes to quantify the proximities
among rare Scotch whiskies (Lapointe and Legendre,
1994) and among Renaissance painters (Davenport and
Studdert-Kennedy, 1972). The adequacy of the resulting
‘‘map’’ may be expressed using a general measure of
stress in the system, i.e., the lack of fit between the actual
proximities and those that result from the analysis. The
stress measure is the square root of the normalized
residual sums of squares and ranges from 0.00 to 1.00,
with smaller values indicating less stress and a better
solution (Kruskal and Wish, 1978).
MDS was originated in the 1930s when Young and
Householder (1938) showed how starting with a matrix
of distances between points in Euclidean space, co-
ordinates for the points could be found such that
distances are preserved. It was later popularized by
Torgerson (1958), who applied it to the problem of
psychological scaling. Since then it has been used in
nursing research (see Houfek, 1992; Wilson and Retsas,
1997) and numerous other disciplines: biometrics—
Lawson and Ogg (1989), counseling psychology—
Fitzgerald and Hubert (1987), ecology—Tong (1989),
ergonomics—Coury (1987), forestry—Smith and Iles
(1988), lexicography—Tijssen and Van Rann (1989),
tourism—Fenton and Pearce (1988), and brain con-
nectivity—Goodhill et al. (1995). Given the inherently
Cartesian nature of our notion of epistemic space, it
seemed reasonable to us to employ MDS in an attempt
to objectively position nurse theorists in multidimen-
sional space.
2. Method
We began by compiling a list of 129 scholars in the
fields of anthropology, biology, nursing, philosophy,
psychology, and sociology from popular text books in
each field. This list operationally defined ‘‘established
knowledge’’ for the purpose of our analysis. Next, a
literature review was conducted on primary and
secondary sources (see Appendix A) written by and
about the 20 nurse theorists listed in Table 1. Although
not exhaustive, this list represents the major contribu-
tors to nursing scholarship during the 20th century
based on our review. One hundred and sixteen of our
scholars were cited by at least one of the theorists
studied here. A data matrix was constructed with nurse
theorists as columns and scholars as rows. If a nurse
theorist cited a particular scholar, a ‘‘1’’ was placed in
the corresponding cell of the matrix, otherwise the cell
was coded ‘‘0’’. (Due to space constraints, the data
matrix is not reprinted here; however, it is available
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Table 1
Results of multidimensional scaling of nurse theorists
Theorist Symbol Coordinates
Dimension 1 Dimension 2 Dimension 3
Abdellah AD 1.2029 �0.8487 �0.9220
Hall HL 2.4563 0.4174 �0.7988
Henderson HN 0.7511 �0.2561 0.7169
Johnson JN �1.3440 1.6144 �0.3485
King KG 0.0298 0.5143 0.6540
Leininger LN �1.3451 �0.7929 �0.4077
Levine LV �0.1962 �0.0399 �0.3417
Neuman NU �1.3547 1.9066 �1.0503
Newman NW �0.8655 �0.0157 2.3113
Orem OM �0.6498 0.3037 0.6928
Orlando OR 1.8926 �0.6526 �0.2701
Paterson and Zderad PZ 1.4397 0.1254 1.4503
Parse PR �1.0807 0.5279 1.1461
Peplau PP 0.5863 0.9732 �0.7746
Riehl RL �0.7939 �1.7827 �2.0639
Rogers RG �0.0155 0.4519 0.1511
Roy RY �0.1301 0.1194 �0.2520
Travelbee TV �0.0632 �0.4507 0.0752
Watson WT 0.2095 0.1587 0.1711
Wiedenbach WB �0.7294 �2.2737 �0.1392
Note: Proximities between theorists were based on the proportion of their shared citations (k ¼ 74) using Russell and Rao’s similarity
coefficient for binary data. MDS solution produced a stress value ¼ 0.167, and R2 ¼ 0:826:
J.W. Beckstead, L.G. Beckstead / International Journal of Nursing Studies 43 (2006) 113–122116
from the first author.) This approach does not distin-
guish whether a nurse theorist cited a scholar to support,
or contradict her theory; such was not our intent.
Rather, this approach serves as a proxy indicating
whether or not a nurse theorist was influenced (for good
or ill) by the writings of a particular scholar, at least to
the extent that she felt compelled to cite his or her work.
It could be argued that this approach has some
limitations. Scholars might be cited for reasons such as
availability rather than because of their intrinsic merit.
Theorists may have read and may have been influenced
by scholars they did not cite (and it may also happen
that some cited works they had not read!). While
recognizing these limitations, this form of citation
analysis does have the virtue of providing an objective
measure similarity in such a context (Everett and
Pecotich, 1993).
The data matrix was used to calculate a matrix of
proximity scores between all pairs of nurse theorists.
Proximity scores reflect the degree of similarity or
dissimilarity among a set of objects being compared on
a set of characteristics (Beckstead, 2002). There are
numerous proximity coefficients for various types of
data (see Cox and Cox, 2001, for review). For the
purpose of quantifying the proximity between nurse
theorists based on similarities in their patterns of cited
scholars, we used Russell and Rao’s similarity index.
For any two nurse theorists, this index was defined as
the number of shared citations over the total number of
scholars qualifying for our analysis (see below). This
measure was chosen from among several appropriate for
binary data because it does not count conjoint absences
as reflecting similarity (i.e., two theorists are not
considered similar because they omitted the same
scholars) and because conceptually it represents the
similarity between theorists in terms of the proportion of
operationally defined established knowledge that they
share. Scholars cited by only one nurse theorist, do not
contribute to these proximity scores; their inclusion
essentially constitutes ‘‘noise’’ and degrades the relia-
bility of resulting proximity scores (Hair and Black,
1998). To be included in the analysis a given scholar had
to have been cited by at least two nurse theorists.
Proximity scores were thus based on 319 citings of 74
scholars: three from anthropology, seven from biology,
15 from nursing, eight from philosophy, 35 from
psychology, and six from sociology.
2.1. Data analysis
The proximity matrix was analyzed using Alternating
Least squares SCALing (ALSCAL) developed by
Takane et al. (1977). ALSCAL is an extremely flexible
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Table 2
Correlations among coordinates for nurse theorists on the scaling dimensions and the proportion of scholars cited from various
disciplines
Discipline Dimension 1 Dimension 2 Dimension 3
Anthropology �0.181 �0.256 �0.117
Biology �0.434 0.733 �0.141
General systems theorya �0.441 0.691 �0.207
Nursing �0.114 �0.413 0.098
Philosophy (all) �0.134 0.098 0.788
Philosophy (existential)b �0.058 0.066 0.751
Psychology (all) 0.779 0.097 �0.097
Psychology (personality)c 0.916 �0.226 �0.255
Sociology 0.232 �0.335 �0.521
Note: Italicized values indicate the discipline(s) dominating each dimension.aThere were seven biologists cited, three of these were cited by nurse scholars for their work in general systems theory.bEight scholars of philosophy were cited, three of these were noted existentialists.cThere were 35 psychologists cited, 12 of these were personality theorists.
J.W. Beckstead, L.G. Beckstead / International Journal of Nursing Studies 43 (2006) 113–122 117
procedure that can handle data that are: (i) nominal,
ordinal, interval, or ratio; (ii) complete or have missing
observations; (iii) symmetric or asymmetric; (iv) condi-
tional or unconditional; (v) replicated or unreplicated
(see Cox and Cox, 2001, for further discussion). The
procedure is available as part of the SPSS package. Our
application specified a nonmetric (ordinal level) analysis
employing the Euclidean distance model. This model
was applied to a full matrix of symmetric proximity
scores.
3. Results
MDS was successfully applied to the proximity matrix
relating nurse theorists based on similarities in patterns
of the scholars they cited. Initially, we examined a two-
dimensional solution given the nature of epistemic space
proposed in Fig. 1. This solution produced a stress
index ¼ 0.225 and an R2 ¼ 0:757; however, we could not
discern any systematic pattern in the coordinate values.
The three-dimensional solution produced a stress
index ¼ 0.167, an R2 ¼ 0:826; and afforded a mean-
ingful interpretation of the dimensions in epistemic
space as described below.1 The resulting coordinates are
presented in Table 1.
In an attempt to provide substantive interpretation of
the three dimensions resulting from the scaling of nurse
theorists, point-biserial correlations between coordinates
1It is not unusual for a higher-dimensional configuration to
be more readily interpretable than a lower-dimensional config-
uration given the relationship among configurations of different
dimensionality is more complex with MDS than for other
methods (see Kruskal and Wish, 1978, p. 92, for further
discussion).
on each dimension and whether or not a scholar was
cited by nursing theorists were calculated. Common
citations by theorists located at similar coordinates
provide a criterion for determining the meaning of each
dimension. This analysis proved cumbersome to inter-
pret given the large number of scholars cited. Instead,
we first grouped scholars according to their discipline
and then examined the correlations between the
proportions of each nurse theorist’s citations from the
fields of anthropology, biology, nursing, philosophy,
psychology, and sociology, and the theorist’s coordi-
nates on each dimension (see Table 2). This approach is
a form of property vector fitting (see Jones and Koehly,
1993) and is useful for interpreting MDS solutions and
deciding how many dimensions to retain. These correla-
tions suggest that as coordinates on Dimension 1
increase so do the proportions of scholars cited from
the field of psychology (r ¼ 0:779). As noted above,
there were more scholars cited from this field than any of
the others examined here. The most often cited were
Abraham Maslow, Carl Rogers, and Gordon Allport;
all noted for their work in the area of personality theory
(see Feist, 1985; Hergenhahn, 1980). Hence, we decided
to examine more closely the proportion of personality
psychologists cited by each nurse theorist in relation to
their coordinates on Dimension 1 and found this
relationship to be quite strong (r ¼ 0:916). Values on
Dimension 2 appear to correspond to the proportion of
biologists cited (r ¼ 0:733). Three of the seven biologists
cited were referenced for their work in general systems
theory; again we decided to examine more closely a
subset of scholars. Coordinates on Dimension 2 were
also related to the proportion of these general systems
theorists cited (r ¼ 0:691). Dimension 3 seems most
related to the proportion of scholars cited from
philosophy (r ¼ 0:788). Closer examination of these
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-1
0
1
2
-2-1
0
1
2
-2-1
01
2
Psy
chol
ogy
(D1)
Phi
loso
phy
(D3
)Biology (D
2)
RL
WB
LN NU
AD
LV
JN
RY
PP
TV
OR
RG
WT
HL
OM
KG
PR
HN
NW
PZ
Fig. 2. Three-dimensional plot of epistemic space accommo-
dating nurse theorists based on MDS analysis of shared
scholars cited from disciplines of anthropology, biology,
nursing, philosophy, psychology, and sociology. Symbols
corresponding to nurse theorists are identified in Table 1.
J.W. Beckstead, L.G. Beckstead / International Journal of Nursing Studies 43 (2006) 113–122118
citations revealed that coordinates on Dimension 3 were
consistently related to the proportion of these philoso-
phers considered to be existentialists (r ¼ 0:751). The
relationships among nurse theorists in multidimensional
space are shown in Fig. 2. For ease of interpretation, the
dimensions have been labeled according to their
descriptions above.
The initial utility of our dimensional interpretation of
the MDS solution becomes apparent when the coordi-
nates of various nurse theorists are examined. For
example, nurse theorists often described as existential-
phenomenologists, namely, Newman (NW), Paterson
and Zderad (PZ), and Parse (PR) are located at the high
end of Dimension 3 (toward the ‘‘front’’ of the figure),
which is consistent with the fact that they cited a greater
proportion of existential philosophers (Heidegger,
Nietzsche, Sartre) than did other nurse theorists. Nurse
theorists identified as systems theorists, Neuman (NU),
Johnson (JN), and King (KG) are located more toward
the high end of Dimension 2 (at the right-hand side of
the figure) consistent with their having cited a greater
proportion of scholars in the fields of biology and
general systems theory (e.g., Hans Seyle, and Ludwig
von Bertalanffy). Nurse theorists Hall (HL) and
Orlando (OR) had the highest coordinate values on
Dimension 1, consistent with the nature of their theories
being influenced by the work of personality psycholo-
gists such as Carl Rogers and Harry Stack Sullivan. At
the other end of Dimension 1 we find nurse theorist
Leininger (LN), known for her transcultural perspective.
Unlike Hall and Orlando, her profile of citations was
dominated by anthropologists and sociologists. The
tight configuration of theorists in the central position
(near coordinates 0, 0, 0) cited more scholars from a
wider range of disciplines than did those located in the
periphery of the space.
It occurred to us that coordinate values based on
patterns in citations might be associated with temporal
relationships among the nurse theorists. That is, are the
coordinates systematically related to the nurse theorists’
publication dates? Coordinate values on Dimension 1
were correlated, r ¼ �0:523; with the year in which the
theorists published their initial works (see Meleis, 1997;
Tomey and Alligood, 1998) suggesting that earlier nurse
theorists cited a greater proportion of psychologists than
did theorists publishing later in the century. Publication
dates did not correlate with coordinate values on
Dimension 2 or 3.
Using Fig. 2 and the coordinates in Table 1, it is
possible to make substantive comparisons among
particular nurse theorists on the various dimensions.
We invite the reader to examine coordinate profiles of
the nurse theorists with whom they are most familiar in
order to assess the utility of our analysis.
4. Discussion
Our original description of epistemic space as two
dimensional, stemming from Descartes’ mind–body
dualism, was supported, in part, by the alignment of
MDS axes with differing degrees of citation from
biology and psychology. However, our initial view
may have been too simplistic. The three-dimensional
model of epistemic space containing the nurse theorists
that emerged from our analysis revealed the systematic
influence of scholars not identified with any branch of
science per se, but with writings in existential philoso-
phy. In an effort to integrate this finding into our initial
framework, we offer the following. The accumulation of
knowledge referred to as ‘‘science’’ is derived from sense
experience and may thus be considered a posteriori in
nature. Because sense experience is relative, inconsistent,
and not fully reliable, such knowledge is not regarded as
certain; rather it is probable knowledge. In contrast, the
knowledge offered by philosophy is derived from the
function of reason without reference to sense experience
and may be considered as a priori knowledge, expressing
the definitional relationships among ideas true in
themselves due to their own inherent meaning. Such a
priori knowledge is, by definition, orthogonal to a
posteriori knowledge. To prove useful, our notion of
epistemic space must encompass both these categories of
knowledge. In hind sight, including this dimension
seems obvious if we are to accommodate other a priori
knowledge offered by the field of mathematics.
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ARTICLE IN PRESSJ.W. Beckstead, L.G. Beckstead / International Journal of Nursing Studies 43 (2006) 113–122 119
The more central the coordinates of a nurse theorist in
our multidimensional model, the more scholars, and the
wider the range of disciplines she cited. We might
describe these theorists as having a broader scope to
their inspirational landscape. By contrast, theorists
located more toward the periphery may be described
as being more polarized or influenced by a smaller and
more homogeneous set of scholars.
The themes of adaptation and wholeness, which are
found in the works of various nurse theorists, may be
traced to the field of biology, and more specifically, to
general systems theory which has its own roots in
biology. The study of adaptation to stress, or coping,
was pioneered in the 1950s by Hans Seyle, the most
often cited biologist in our review. General systems
theory, which worked its way into many scientific
disciplines from 1950 through the 1970s, grew out of
the work of biologists Ludwig von Bertanalffy, Anatol
Rapoport, and W. Ross Ashby who directed scientists to
consider, as the proper object of study, the various
arrangements of components that are so interrelated as
to form wholes. The notion that the whole is greater
than the sum of its parts has influenced various nurse
theorists to expound upon the dynamic context in which
patient care takes place and to encourage nurses to move
beyond mechanistic thinking.
Based on the prevalence of their citations, humanistic
personality theorists Abraham Maslow and Carl Rogers
appear to have had the most influence on nurse
theorists. Personality theorists differ in their assump-
tions concerning human nature. According to Feist
(1985) these assumptions center on components such as:
free choice vs. determinism, pessimism vs. optimism,
biological vs. social influences, and the number of basic
motives attributed to the person. Carl Rogers’ view of
humanity is basically positive and optimistic. He
believed that people are essentially forward moving
and that under proper conditions will grow toward self-
actualization. People ordinarily know what is best for
themselves and have a high degree of choice in their
lives. Roger’s person-centered therapy is quite teleologic;
people are seen as striving with purpose toward goals
they freely set for themselves. Maslow’s view of people is
that they are fundamentally good and that the basic
needs that motivate us are not negative or pathological,
but precisely those that result in positive growth
and health. When people’s needs are not met, they
may act in evil or destructive ways. He also believed that
people aim toward self-actualization, thus holding a
purposive or teleological view. Maslow felt that in-
dividuals are shaped by both biology and society and
that the two cannot be separated. Both these psychol-
ogists shared an optimistic view of people as being
capable of self-care and self-determination, given a
secure, nurturing environment; themes that pervade
many nursing theories.
MDS techniques have some limitations that must be
kept in mind when interpreting the findings reported
above. It could be argued that our findings are an
artifact of the sample of nurse theorists chosen, the list
of scholars assessed, and/or the nature of the algorithm
and proximity measure used. Like any flexible modeling
framework or data analysis method, MDS is well suited
to some types of research questions and less appropriate
for others. Nonmetric methods, like the one used here
for analyzing binary data are based on the assumption
that a monotonic relationship exists between the
proximity measures and the interpoint distances derived
by the solution algorithm. Different proximity measures
summarize relationships between objects in different
ways and will produce different MDS results. It is
important that researchers using MDS understand these
measures and choose the one(s) appropriate to their
research goals or questions. Prior to settling on the
Russell and Rao index, we compared several proximity
measures for revealing known dimensionality in small
artificial data sets similar in character to the one
analyzed here. A reviewer of an earlier draft of this
paper raised the issue of sparse data arrays in MDS
analysis. Although the problems resulting from sparse
data arrays have been studied in relation to logistic
regression (see Greenland et al., 2000; Kuss, 2002 for
discussion), MDS techniques are not adversely affected
in the same way because MDS analyzes the proximity
matrix calculated from the raw data array. Our 20� 74
raw data array contained 319 ‘‘1’’s and 1161 ‘‘0’’s. The
resulting 20� 20 proximity matrix contained 380 proxi-
mity scores, 68 of which were 0.00 indicating no shared
citations between particular pairs of nurse theorists. So
long as the appropriate proximity measure is used to
prepare the data for MDS analysis, sparsity in the raw
data array does not present the same problem as it does
in logistic regression methods.
Future generations of nurse theorists, whose work will
no doubt build upon the efforts of the nurse theorists
examined here, are likely to incorporate and adapt new
developments occurring in other fields of science; such is
the nature of scientific progress. As the assemblage of
knowledge comprising nursing science increases, the
dimensionality of epistemic space required to encompass
nursing theory may also increase.
The similarities among nurse theorists in epistemic
space, as examined here, were based on commonalities
in the sources they cited for their intellectual inspiration.
More frequently, similarities among nurse theorists have
been derived through systematic content analysis of
their writings (e.g., Fawcett, 1993, 2000; Meleis, 1997;
Tomey and Alligood, 1998, 2002). The difference in
these two methods may be illustrated with a simple
example. Consider two nurse theorists who cite identical
sources of intellectual inspiration. Our taxonomic
approach would describe them as being quite similar
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ARTICLE IN PRESSJ.W. Beckstead, L.G. Beckstead / International Journal of Nursing Studies 43 (2006) 113–122120
to one another, while a typologic (content-derived)
approach could describe them as being quite similar or
quite different from one another depending on how the
two interpreted, adapted, or applied the same sources of
inspiration. As Kuhn (1977) explained, although pro-
ponents of different theories may be looking at the same
phenomena, they may focus on different components,
and they may see different relations among the same
components. We believe, as do many scholars, that a
better understanding of any phenomenon is obtained
through the use of multiple methods of measurement
and analysis. Our notion of epistemic space is offered as
a new schema for examining and understanding the
relationships among the various fields of science. We
invite the reader who is especially familiar with the
works of nurse theorists examined here to explore how
our coordinate system relates to their own content-
derived judgments of the similarities and distinctions
among nurse theorists.
Acknowledgement
Dr. Beckstead is an associate professor at the
University of South Florida College of Nursing. He
works as a statistician/methodologist with nurse re-
searchers and graduate students. Laura Beckstead is a
graduate student at the University of Tampa Depart-
ment of Nursing pursing her MSN.
The authors wish to thank Drs. Mary E. Evans and
Cecilia Jevitt for their help on an earlier draft of this
paper, and Drs. Cecile Lengacher and Linda Moody for
access to numerous publications by and about nurse
theorists. We are also grateful to three anonymous
reviewers for their helpful comments and suggestions.
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