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Posts Tagged ‘Uncertainty’

Reflecting on Erich Fromm’s “To Have or To Be”

Posted by Ken Long on November 25, 2009

Erich Fromm is an influential social philosopher and prolific writer, whose life work offers a provocative synthesis of Western capitalism, Marxist humanism and socialist rational planning. He defines two modes of being: “to have” and ” to be”, and examines the characteristics and values of lives led in each mode with respect to materialism, politics, religion, spirituality, knowledge, love, sex, language and economics. He asserts that modern living is dominated by the “to have” mode and generalizes it as a soul-less and thoughtless pursuit of material things that disrespects the human soul, love of nature and fellow humans and leads to unsustainable pursuit of things which can lead to poverty, war and extinction.  Fromm discards the idea that either conventional Western capitalism or Soviet-style communism offer a way out of the darkness, since both systems remain entrenched in the “to have” mode of being.  He offers an escape from this bleak vision of the future, by suggesting that a shift to the “to be” mode of being will bring a change in perspective and behavior at the individual, family, tribe, state and national levels. He asserts this change can bring lives back into harmony with the needs of the human spirit and permit sustainable societies to emerge.His utopian vision of modern living blends the freedom, liberty and productive power of Western capitalism, the central planning and rationality of Soviet style communism, and the tempered and non-materialistic spiritual centeredness of Buddhism and European- style mystics like Meister Eckhart. A society organized along these lines could manifest as economically linked villages of perhaps 100 families. They would be voluntarily joined in support, satisfying the legitimate needs of healthy living through the free exchange of goods and services produced by craftsmen. As craftsmen, people would take pride in and develop a sense of identity through their careful, mindful work and whose stewardship of precious resources would be reflected in a sustainable, respectful partnership with nature and their fellow man. Appetites are suppressed to just those that are commonly and wisely thought to be legitimate. Common spiritual needs are valued and encouraged at each level of social organization. Language itself is amended to reflect the importance of creating “states of being” that reflect nurturing, loving spiritual lives, families, and communities. You will notice this description is full of passive voice, because it is never quite clear “who” will be taking the lead or being the instrument of action in a transformation on a species level. I will address this later in greater detail.

I admire the scope, depth and breadth of Fromm’s vision, and the passion he brought to his life work, and his commitment to living his principles, as seen through his direct engagement with the dominant issues of his day. He was a social philosopher who lived his words and put himself into the arena of ideas and actions to make a difference. He made a positive difference in the lives of millions and those who worked closely with him testify to his optimism, energy, and basic human goodness. Granting all of that, and acknowledging that I have changed my opinion of Fromm’s work after spending time in background research and reflection, I want to engage his work in two useful ways: through disinterested philosophical discourse, and through an abbreviated dialectical materialism: a method of argumentative inquiry that would have come naturally to a Marxist. I decided on this approach after Dr Armstrong asked what Fromm might have said in response to a couple of extended Moodle discussions that were critical of some of his positions.Constructivism is a world view that asserts we are active participants in the creation of our knowledge of the world, particularly in the human, social areas of our lives. There are two well-known forms of dialogue that have been instrumental in the development of social, political and economic knowledge: the disinterested philosophical discourse of ancient philosophers described so well by Hadot (2002) and the dialectical materialism of Karl Marx, which is a fusion of Hegel’s dialectics and Feuerbach’s materialism with roots that reach back to the ancient Greeks as well. (S.E.P, n.d.) (Mao, 1938)  

Hadot’s discussion of discourse is thorough. Discourse obliges you to set aside your own perspective,  to accept the other participant’s positions and truths, and to transcend disinterestedly to a new perspective which leads both to increased self knowledge, knowledge of the other, and to a new appreciation of the synthesis that is possible through a fusion of different opinions. There is a sense of philosophical cooperation and wisdom in play for true discourse. (Hadot, 2002)Marx’s dialectical materialism describes a dialogue between opposing views as a struggle between forces, with each committing passion and insight to argue a position. The initial argument is known as the thesis, the opposite view as the antithesis. Out of the tension of the vigorous exchange between thesis and antithesis, a broader, more comprehensive synthesis is created, which contains elements of both previous positions but which can be said to resolve the tension, encapsulate the essence of both, and  move on to a new and deeper understanding of the situation. As an example, Marx characterize the struggle between owners (thesis) and workers (antithesis) over the means of production as a dialectic which becomes resolved into a synthesis of communism, after the tension of class warfare has run its course and been resolved.

 I experienced both of these modes of dialogue and constructive knowledge in my readings of and reflections on Fromm’s work. The effect of the two different modes on my thinking has been instructive for me and serves to demonstrate the utility of both modes. I like the idea that they contribute both heat (the dialectic) and light (the discourse) to my own understanding of Fromm.

 Dialectic:

 The dialectic generated heat from my emotional reaction to my initial reading of Fromm, as I discovered deep seated and argumentative reactions to his assertions, conclusions, and matters offered in in evidence to support his claims. These responses have roots in my undergraduate days as a student of Asian history and political science in the 1970s when I did a lot of work in the historical events surrounding socialism and communism in Asia and Europe, while simultaneously experiencing and exploring non-Western cultural and religious responses to the challenges of defining and living the good life as seen by Hindus, Buddhists and Taoists.

 I read Fromm from that perspective: as a modern who sought to synthesize the ancient and modern thoughts of the good life and human nature with the tidal forces that were defining and shaping human culture through economics and political struggle. I understood his perspective and rationale for opting to follow the path of enlightened Marxism with its foundations in rationality and central planning, its concern for social justice, and his belief that freedom includes the ability to shape our destiny through choice and action, even if it means confronting and opposing what has been thought of as human nature combined with the power of tradition.

The heat came from the difference between his choices and my own, since I have chosen a different approach to understanding, framing and drawing policy conclusions from the same data set. My beliefs and values follow along the lines of valuing individual freedoms in the traditions of Payne and Locke, the political freedoms and limited government of Jefferson, the lack of central planning found in the tenets of laisse-faire capitalism, and the intellectual humility and disbelief in the perfectability of man epitomized by Twain. When the dialectical smoke had cleared though, I found room for Fromm and I to coexist:

Here are three samples of the thesis-antithesis-synthesis threads that I worked through in the dialectical tradition. In each case Fromm plays the role of thesis, as is his right as “first speaker” since we are using his text, not mine. They are representative of the more than 20 different annotated emotionally charged differences I discovered upon my first reading.

 a. Tennyson’s poem: Fromm’s thesis is that Tennyson’s speaker tore the flower from the ground to understand it, while the enlightened spirit became one with it as co-members of the scene. My antithesis is that it is a matter of interpretation as to whether Tennyson’s speaker killed the flower, since it could have carefully and mindfully been moved to a new place for examination and understanding without harming it. Indeed, later in the book, Fromm describes the wisdom of a Japanese gardener who transplants plants without harm to create beautiful, spiritual gardens. My synthesis is that while the passive appreciation of the flower in nature is groovy, it is the Western scientists’ inquiry which leads to new knowledge of the world around us, but that a science without humble mindfulness can easily lead to disaster for the race given the reach and consequences of modern technology.

 b. Human nature and central planning: Fromm’s thesis is that we can reshape our actions beliefs and destiny through the power of rational thought and disciplined action, and that we can design a universally applicable, better life for everyone. My antithesis is that man is in equal parts, a rational and emotional being; that there are limits to rationality and the persuasiveness of logic and reason; that life is too complex to be reduced to centrally planned, universal designs for the good life; and that the political realities of life do not permit simple transitions due to the nature of power.  My synthesis is that we can appeal through dialogue and discourse to the good that is in human nature, and aspire to an improved life for others, and that rugged individualism is not the ideal life for everyone either, despite its personal appeal to me.

 

c. Black and White classifications:  Fromm’s thesis is expressed in absolute terms, making mutually exclusive distinctions in almost every category he considers. Examples include his unqualified support for the success and goodness of the sexual revolution of the 1960s; the characterization of language itself as a conscious means whereby those in power create the meaning of individual words to further their materialistic agenda; that the choice of capitalism must inevitably lead to unbridled appetites for more and more until we exhaust the planet. He takes everything to its logical and often illogical extreme to dramatize the differences in the modes of beings and in the choices presented to people and nations. My antithesis is that there are checks and balances between your values, between members of your family, between friends, interest groups, communities, branches of government, and between nations themselves. Further, these checks and balances are adaptive and dynamic and that it is in the peaceful accommodations and adjustments we make that we have hope for a better future for all; that there are limits to how far a theory or model may be taken to explain phenomena; that there is a limit to the region of fit for any theory. My synthesis is that black and white characterizations can be useful to make dramatic statements that get your attention; that sometimes taking things to the logical extreme is a valuable way to demonstrate the very need for the compromise and discourse that I favor. Discourse:

            After declaring a week of truce for reflection and research, I engaged Fromm discursively. I researched his background, his other writings, and the testimony of friends and colleagues concerning his impact on their lives as a scholar and a person. I found that by conducting dispassionate research, I was able to transcend the heat of the dialectic, which actually helped me to complete the synthesis portion of each dialectic thread where I’d experienced an emotional reaction. The syntheses in the three example of dialectic above were only reached after a cooling off period of discourse, research and reflection.

             I found that the heat of the dialectic helped me raise the energy to conduct the research. Once engaged in research, my natural curiosity took over and carried me deeper than I would have gone if just motivated by a need to be right in some fanciful, contrived “argument” between Fromm and me. Fromm’s Germanic background reminded me of Hesse’s story of Magister Ludi and the Glass Bead Game, where a traditional game continued to be played long past the time when its origin, relevance and importance had been forgotten.

             I grew to respect for Fromm’s independent thinking, even as it caused him to depart over and over again from groups once friendly to his thinking, and where he could have remained and enjoyed the fruits of inclusion. He was a German Jew who left both Germany and the Jewish faith in search of a better life and a deeper spirituality. He was a trained psychologist and psychiatrist who left the confines of the Freudian, Rogerian and Jungian schools of thought to elaborate his own ideas of personality and psychological balance. He was a social philosopher who engaged in the practical worlds of politics and punditry by fighting peacefully against nuclear proliferation and  the Vietnam War , and in support of social justice. He was a prolific scholar, yet he wrote many popular books that made his ideas on the good life accessible to the masses. He was a systematic thinker, yet his ideas and concepts evolved through time as he reflected on his experience and the world around him. He was a good friend and a generous humble person by the accounts we have from his friends and co-workers.

 And so, I find in Fromm all the elements of the good life defined by Socrates and the ancients.  He is a man of passion, intellect, scholarship and good works, who lived an examined life, and who sought to apply his values in daily life.  If he and I disagree on certain aspects of how precisely to define the good life and how completely we might propose a design for a good life for all, surely the world is large enough for us to both live in it at the same peacefully and in mutual support.

In the course of thinking about this paper, the design of its concept and flow, the research I conducted, the Moodle discussions where I began to partially explore some of these ideas and in the actual writing this paper, I found the heat of dialectic and the light of discourse to be useful and enlightening. I think that the combination of both perspectives was more important that the exclusive use of either by itself would have been. To have applied just the dialectic would have resulted into an argumentative essay between Fromm and I, whereas a pure discursive paper, with the energy of passion, may have been a theoretical inquiry without the motivation to go beyond my own beliefs.

 In conclusion, I have enjoyed and learned from my engagement with the life  and works of Erich Fromm.

References:

 Currie, N. (2008). To Have or To Be.  frieze magazine: a leading magizine of contemporary art and culture.. Retrieved Nov 20, 2009, from http://www.frieze.com/comment/article/to_have_or_to_be/

Daniels, V. (2003). Lecture notes on Erich Fromm.  Victor Daniels’ Website in The Psychology Department at Sonoma State University.  Retrieved Nov 20, 2009, from   http://www.sonoma.edu/users/d/daniels/frommnotes.html

Fromm, E. (1976). Fromm: To have or to be? New York: Continuum.

 Hadot, P. (2002). What is Ancient Philosophy. Cambridge: Harvard University Press.

Infed editors. (n.d.) erich fromm: freedom and alienation, and loving and being, in education. infed: the encyclopedia of informal education.  Retrieved Nov 20, 2009, from http://www.infed.org/thinkers/fromm.htm

 Maccoby, M. (1994). The Two Voices of Erich Fromm: The Prophetic and the Analytic. The Maccoby Group: Agents of Change. Retrieved Nov 20, 2009, from http://www.maccoby.com/Articles/TwoVoices.shtml

  Mao, T. (1938). Dialectical materialism. Marxist Internet Archive. Retrieved Noc 17, 2009, from http://www.marxists.org/reference/archive/mao/selected-works/volume-6/mswv6_30.htm

 MGM830 Moodle entry authors. (2009). Assorted.  MGM830 Moodle discussions. Retrieved Nov 15, 2009, from http://www.instituteforadvancedstudies.net/mod/forum/discuss.php?d=26503

New World Encyclopedia editors. (n.d.) Fromm, Erich. New World Encyclopedia.  Retrieved Nov 20, 2009, from http://www.newworldencyclopedia.org/entry/Erich_Fromm

 Pace, G. (1977). Erich Fromm Interview: To Have or To Be.  scribd. Retrieved Nov 20, 2009, from http://www.scribd.com/doc/8895007/Erich-Fromm-Interview-To-Have-or-to-Be

 Raapana, N, & Friedrich, N. (2005). What is the Hegelian Dialectic?.    Crossroads: the Kjol Ministries. Retrieved Vov 15, 2009, from http://www.crossroad.to/articles2/05/dialectic.htm

 SparkNotes Editors. (n.d.). SparkNote on The Communist Manifesto. Retrieved November 17, 2009, from http://www.sparknotes.com/philosophy/communist/

 Stanford Encyclopedia of Philosophy editors. (2008). Karl Marx: Theses on Feuerbach. The Stanford Encyclopedia on Philosophy (SEP). Retrieved Nov 17, 2009, from http://plato.stanford.edu/entries/marx/#2.4

 

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Ask a Pakistani why Afghanistan matters

Posted by Ken Long on November 10, 2009

If you want to know, ask somebody: (ht: smallwarsjournal)

Afghanistan: Seven Fundamental Questions by Major Mehar Omar Khan

I know we live in a world that is real and is moved by minds – thinking, manipulating, conniving, conspiring, calculating and masquerading minds. Our world therefore seldom has a place for ‘sentiments’ – pure, sincere, honest and spontaneous as sentiments are. But when it comes to war in Afghanistan, I am not deterred by the tyranny of the trend. I like, in fact I am forced, to think through my heart. What else can you do when you see images of your countrymen; innocent and unsuspecting men, women and children; ripped apart by other human beings exploding in their midst almost on a daily basis? How can I not worry about my daughter when I see a pale and empty face of a mother in Kabul or Peshawar, bent like a broken branch of an old, dried up tree; over the dead body of her child? How can I not cry when the soul of my nation is hit and hurt by violence that is so inextricably linked with bloodshed beyond the snaky Khyber Pass? For us in Pakistan, the ongoing struggle in Afghanistan and astride Durand Line is the most seminal endeavor of our history. If this war is won, the entire world stands to benefit. But if it is lost, one country that will be hurt the most is Pakistan – my daughter’s home and her future. War astride the Durand Line is therefore so personal to so many of us.

This war is also extremely personal for thousands of American mothers who await and pray for the safe return of their sons and daughters: bright young men and women who deserve to live and who must never be wasted just because someone considers it politically expedient to continue to muddle along and because setting the course right needs some statesmanship and may also involve some political cost.

Major Mehar Omar Khan, Pakistan Army, is currently a student at the US Army Command and General Staff College at Ft. Leavenworth, Kansas. He has served as a peacekeeper in Sierra Leone, a Brigade GSO-III, an instructor at the Pakistan Military Academy in Kakul, and as Chief of Staff (Brigade Major) of an infantry brigade. He has also completed the Command and Staff Course at Pakistan’s Command and Staff College in Quetta.

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A reflection on mixed methods research in adult education

Posted by Ken Long on September 21, 2009

Introduction

The Research Problem

The purpose of this paper is to offer one vision of developing a methodological theory of mixed methods research co-equal with that of quantitative and qualitative research. I use a case study of the US Army Command & General Staff College engaged in a redesign of its curriculum, its teaching practices and its design process itself in a period of revolutionary change while supporting a nation at war. I describe circumstances and worldviews in which I argue that only mixed methods research may be employed to simultaneously develop a deep appreciation of uncertainty, improve decision making through an appropriate gathering, mixing and analyzing of quantitative and qualitative data, and applying “learning in action” as a strategy to manage success.  I contrast the view of research  as a process of increasing knowledge for control  with a worldview of research as a learning-in-action that allows for deep appreciation of complexity but without the assertion that appreciation and research can lead to prescriptive measures of control.  I examine the merging feedback system of the CGSC curriculum redesign as a mixture of qualitative and quantitative data. The concept of “Voice” that emerges from the CGSC action research process will be described, along with a multi-phased, multi-year research plan that demonstrates the practical development of an interactive dynamic research plan that is also adaptive to interim and periodic results. The paper  reflects a pragmatic worldview as it focuses on practical outcomes inside an organization concerned with real-world results, but acknowledges the importance and utility of the other 3 worldviews described by Creswell (2007, p.6), namely advocacy/participatory, post-positivist and constructivist.

Waldrop (1992, 2008) described the emerging science of complexity in a rich description of the inter-disciplinary work developing at The Sante Fe Institute. Sixteen years later (Waldrop, 2008) he found that the pioneer days of complexity research had evolved into a rich diversity of programs in major and minor universities worldwide, with lines of business and cognitive domains each finding ways to apply the ideas of emergence, uncertainty and complexity in new and profound ways. What remained unchanged from the origins of the research were the questions of what next and so what and how much more is there and what does it mean to apply an appreciation of complexity to everyday problems and opportunities.  The field of education is only beginning to appreciate how complexity and uncertainty may change the dynamics, structure, content and practice of adult education (Siemens, 2004). Professions in particular will be challenged by educating for complexity, since deep, profound, and reliable bodies of knowledge are at the center of professional practice. Educators, themselves members of a profession, are examining what it means to educate, teach and instruct in light of an emerging awareness of complexity.

The US Army Command & General Staff College (CGSC) is a self-described “learning organization” (Senge, 2000), engaged in a revolutionary re-design of curriculum and teaching practice, with a mission to educate 1500 US Army Majors for uncertainty and complexity, while engaged in a global war on terror and in direct combat in Iraq and Afghanistan (Long, 2009). This provides an opportunity to examine reflective learners and practitioners in action (Schon, 1987) using mixed methods research and using multiple worldviews (Creswell, 2009; Creswell & Plano Clark, 2007).

Past Research on the Problem

Edmondson and McManus (2003) propose a structured approach to selecting research methods that fit the state of theory in a given field. Their 3 archetypes of the state of theory: nascent, intermediate and mature  are connected to qualitative, mixed methods, and quantitative research methods, resulting in an appropriate methodological fit that aims to meet the needs of researchers worldwide. Creswell(2009) offers a systematic approach to analyzing: researcher worldview, research purpose,  research questions, the state of theory, data collection, populations and situations to be studied, and data analysis in order to further refine the methodological fit  and better connect purpose with practice across all 3 methods. Creswell and Plano Clark (2007, p.8) offers a functional working description of the state of mixed methods research, which proceeds from a deep review of current field practice, establishes a superb framework for classifying current choices of mixed methods research design and the means by which methodological fit may be refined, but stops at the boundary of developing a deep theory of mixed methods of research.

Deficiencies in past research and Need for Mixed Methodology

Conventional professional education processes have been adapting at an increasingly frequent rate as a consequence of Army senior leader directives and direct field feedback. The adaptive processes and decisions to date have been single issue, single iteration problem solving exercises inherited from an environment in which incremental change was the norm and most appropriate. These processes are less and less suitable as rates of required change increase and the relevance of existing processes and curriculum are increasingly called into question (Long, 2009)

Audience

The audience for this research include: staff, faculty and students of CGSC; educators of military professional schools; curriculum developers in graduate schools and organizations engaged in preparing leaders for uncertainty; scholar-practitioners of mixed methods looking to adapt practical field methods of for mixing qualitative and quantitative data; scholars examining the deep theory of the methodology of mixed methods.

Purpose

Purpose of the study, and reasons for a mixed methods study

The purpose of this study is to examine the CGSC curriculum redesign project and the emerging feedback system that guides design decisionmaking, which incorporates both quantitative and qualitative data. The project can be described as intermediate theory in the Edmondson  and McManus ontology, and therefore suitable for mixed methods research since I am introducing an emerging concept (“Voice”), focusing on the exploration of theoretical propositions (the theory of mixed methods), the availability of sets of rich theory that inform the research (adult learning, decisionmaking, complexity, design, learning organizations, narrative inquiry and action research), and incorporating multiple data types and analysis (Edmondson& McManus, 2007, p.1165).

Research Questions and Hypotheses

Quantitative Questions

H1: Student satisfaction measured on the Noel-Levin Adult Learner Satisfaction Survey is not different than their reported overall satisfaction

H2: Student education priorities measured on the Noel-Levin Adult Learner Satisfaction Survey are not different than those of faculty and college leadership as measured on the same instruments

H3: Student education priorities measured on the Noel-Levin Adult Learner Satisfaction Survey do not vary through time in the course of the academic year

H4: Student education priorities measured on the Noel-Levin Adult Learner Satisfaction Survey do not vary after graduation and reassignment to field units

H5: Student satisfaction measured on the Noel-Levin Adult Learner Satisfaction Survey do not vary from satisfaction as measured by existing CGSC Quality Assurance  surveys

Qualitative Questions

What are the dominant and subordinate narratives that emerge from focus group discussions on educational priorities and practice and environment within CGSC?

How does the curriculum design decisionmaking process respond to similarities and differences in narratives that emerge from groups of students, faculty and senior leaders?

Describe the development, emergence of the construct of “Voice” from the CGSC PAR cycles, and how this prototype construct is evolving and being applied by various sub-groups within and associated with CGSC, by applying various interpretive methods of the narrative inquiry tradition.

Mixed Methods Questions

1. To what extent are qualitative insights generated from PAR cycles, focus groups, and individual interviews supported by quantitative data generated from surveys and actual use data of digital communication and collaboration mediums?

2. How are various organizational narratives constructed by sub-groups within the CGSC curriculum design process in order to make sense of quantitative data?

3.  What insights are offered by the application of  various narrative inquiry traditions? Which traditions are favored or overlooked or rejected by curriculum design decisionmakers?

4. What happens within CGSC when students and faculty are given opportunities to exercise “Voice”?

Philosophical Foundations for Mixed Methods Research

Quantitative research literature review

Student satisfaction surveys built on consumer theory (Watkins, 2009) are broadly applied in colleges and universities, and  treat students as  free-willed individuals that choose between alternatives for an educational institution and particular fields of study. They are seen as rational actors with definite expectations about what they want in their educational experience, and that satisfaction occurs when their expectations are met or exceeded. Smart, Feldman and Ethington (2006) note a decline in the attention being paid to the attitudes and behaviors of faculties, administrators, and the college and university environments as contributors to student success.(p.2.). These insights are related to the “college impact” model of student success. Applying the Noel-Levitz  Adult Student Priorities Survey leverages a robust, nationally recognized, validated research instrument whose dimensions reflect the areas of importance emerging from the CGSC Participatory action research  (PAT) study (Long, 2009) and enables  quantitative research into the existing database of historical satisfaction measures currently applied in the college’s curriculum design process.

Qualitative research literature review

The James, Milenkiewicz and Buchnam (2008) application of Participatory Action Research (PAR) develops measureable action steps that can lead to  revolutionary transformations within educational institutions.  The use of measureable qualitative and quantitative data gives power and legitimacy to the insights it generates inside an organization that values rigor and validity, while respecting the intuitive insights of qualitative research.  Prasad describes many techniques of Narrative Inquiry that offer many techniques for interpreting and making sense of qualitative and quantitative data.  Reason & Bradbury, (2008) and Clandinin, (2007), describe these disciplines and crafts of action research and narrative inquiry as having a relatively mature foundation of theory and best practices, with enough variation between sub-disciplines as to create real and significant choices for researchers . Various methodologies in each discipline can be characterized according to their own logic that connects their particular world view (Creswell, 2009), ontology, research technique, data requirements, classification and analysis protocols, and strategies for sense-making of the results of inquiry. The combination of PAR  and narrative inquiry offer a robust set of strategies for generating insightful qualitative data with connections to quantitative data sets, which make them especially useful and practical to mixed methods researchers.

Mixed methods research literature review

Creswell and Plano Clark (2007) provide a broad yet detailed overview of the current state of the art of mixed methods research. They offer a working definition of the field derived from a survey of practice which proceeds from a deep understanding of high quality methods of practice, through choices of design and point to potentials  for the development of deep methodological theory. They offer mixed methods as an appropriate research strategy as a way to improve on the use of either qualitative or quantitative research alone.  In their view, mixed methods are more comprehensive, can answer more  types questions, encourages collaboration  and the deliberate incorporation of more than 1 worldview and is especially well suited for situations where practicality and pragmatism are prized (Creswell & Plano Clark 2007, p8-11).

Methods

A definition of mixed methods research

Creswell and Plano Clark (2007, p.5) define mixed methods research in the following way:

“As a method, it focuses on collecting, analyzing and mixing both quantitative and qualitative data in a single study or series of studies. Its central premise is that the use of quantitative and qualitative approaches in combination provides a better understanding of research problems than either approach alone”.

The type of design used and its definition

In this section I will briefly describe the theoretical shortcoming of treating mixed methods merely as a practical solution to improving upon either the qualitative or quantitative approach alone, and why a broader and deeper theory of mixed methods is appropriate for developing deep appreciation of complexity and uncertainty. I will briefly describe two different designs that would pass the test of the Creswell and Plano Clark ontology of mixed methods designs. With appropriate development, either would be approved for research within CGSC.

Comparison table  (adapted from Creswell & Plano Clark (2007)

Design 1 Design 2
Choices Explanatory Exploratory
Theoretical Description A 2 phase  design, where qual helps explain or build upon initial quan results (p.71) 2 phase design where qual results help develop or inform 2d phase quan inquiry
Description of application to CGSC Round 1: the Noel-Levitz Adult Learner Satisfaction Survey is applied to a population, and results are tabulated, analyzed, compared against national  graduate student norms and in  a time series from the beginning, midpoint and endpoint of the academic year. Insights are developed

 

Round 2:  A series of focus groups and individual interviews are used to develop qualitatitive insights to  make sense of the quantitative findings

Round 1: a  set of participatory action research cycles identify areas of pressing concern to leaders, faculty and students within the college. A grounded theory is developed and constructs are defined by the community of practice, informed by theory from PAR outsiders.

 

Round 2: A quant survey is developed to explore deeply into issues and constructs developed by the PAR teams to cross check for validity, to confirm or deny, to support or modify the emerging grounded theory and provide the basis for future inquiries as selected by PAR teams. (Note: this is s summary of the actual process used at CGSC as the basis for this case study. The various tangents deriving from the initial rounds of inquiry generated my epistemological concerns with the pragmatic assumptions of mixed emthods)

Design notation QUAN->QUAL QUAL->QUAN
Justification Needs qual to help explain significant, , non-significant, outlier or surprising quant results Exploration is needed because:

 

1. no existing instrument

2. unknown variables

3. immature theory or framework

Well suited for exploring a phenomenon or when researcher wants to generalize to other populations, test emerging theory or classifications (p. 75)

Variants 1. Follow-up explanations (quan results, insights need additional explanation)

 

2. Participant selection  (where a sampling of representative outliers are selected for follow-on inquiry)

1. instrument development model

 

2. taxonomy development model

Strengths Straightforward implementation

 

Feasible for single researcher

2 section report of results

Supports both single and multiple phase studies

Appealing to quan researchers

1. easy to design, describe, implement and report

 

2. although initial emphasis is on qual, the quan phase makes it easier to appeal to quan audience

3. both variants supports multiphase studies well

Challenges 1. Time consuming

 

2. Decisions on which individuals to use by phase w/justification

3. Difficulties with IRBs

4. Deciding which results to explore

5. Specifying criteria for follow-on inquiry (before or after results?)

1. time consuming

 

2. difficult to specify phase 2 construct for IRB prior to phase 1 results

3. deciding up front which individuals to use in phase 2

4. which data to use in phase 2 instrument

5. deciding relevancy of phase 1 results for phase 2 taxonomy

Timing 2 phase sequential model 2 phase sequential model
Weighting I think the QUAL(quan) model is more likely. This design relies on at least a mature enough state of theory to allow for initial quan inquiry, but we are more concerned with the interpretation and application of insights than in model or theoretical validation the equal weighted choice is more logical; the desired outcome is an improvement to state of theory (quan) by either a better instrument or by an improved taxonomy (ontology). Yet the reliance on initial qual inquiry as a guide makes it at least co-equal to quan.
Mixing the data Either Merging or Connecting is more likely than embedding.  Embedding implies a single phase, whereas this is defined as a 2phase design.  The improved explanation of initial quan findings is how the design could be “connected”. If the interpretation or meaning making is intended to create “rich description” then either variant of merging is logical Connecting is by far the most logical design choice, as the 2 phases are explicitly linked; quan follows qual and the connection is either an instrument or a taxonomy.

 

There is a distinct “manufacturing or processing” aspect to this design, which does not seek to produce a rich description that is a blend, but rather produces a better quan framework as guided by the initial qual inquiry

Diagrams:

Research model 1: Explanatory:

Research model 2: Exploratory:

Analyzing the data:

In both models of mixed methods design the quantitative data would be subjected to power analysis, tests for relationship and causality.  The quantitative hypotheses are framed in the form of null hypotheses in order to determine if there were differences that could be attributed to a difference in instruments and what they are measuring (existing survey vs the Noel-Levitz survey); through time series tests to see if there is a treatment effect, and with the samples subjected to control variables to examine the effects of demographic, career experience, educational goals and faculty specific effects on the measures of satisfaction and importance.

Qualitative data would be subjected to thematic analysis according to the practices of the grounded theory, narrative inquiry and PAR traditions/  Narrative inquiry traditions are especially important here as outlined in Boje (2001).

Analyzing the mixed data would be drivcefn by the specific design selected as noted above.

Theoretical analysis of the consequences of choice in mixed methods design

Both designs would be interpretable as providing a deeper insight and understanding than a study restricted  to either of their individual qualitative or quantitative components. The functional definition of mixed methods (Creswell & Plano Clark, 2007, p.5) would lead decisionmakers, particularly of the pragmatic worldview, to ‘receive the wisdom of experts” and seek to straightforwardly apply the insights based on a justifiable belief that they now knew more about what was going on, and had in some fashion reduced the amount of uncertainty about the world around them. My central argument is that there are situations so complex and uncertain that no amount of research and conclusions drawn from best practices of the traditions of both quantitative and qualitative inquiry, and the best practices emerging from mixed methods as described by Creswell and Plano Clark. In fact my use of the word “situation” in the preceding sentence, is an implied assumption that there is such a thing in the real world as a definable “situation” or problem set  which may be bounded and contained by a problem solving, decisionmaking entity. While this construct is the basis for the post positivist tradition, which has endlessly proven its utility in countless settings, it is normal for pragmatists to conflate utility with reality.

It can be argued that there is could be a tacit agreement between constructionists and post-positivists to allow each other the primacy of method and interpretation based on typical problems, and indeed much work is being done to increase cross-discipline understanding, cooperation and integration. The common assumption between these two worldviews is that the end product of such effort is a measureable increase in our knowledge of the world as it is, from which we may exert more control and prediction by having reduced the amount of uncertainty by some amount. This tacit shared assumption I submit is expressed through the research practice of pragmatists who are “naturally” drawn to the mixed methods designs and practices described so well by Creswell and Plano Clark. Given the fertile and as yet only partially explored areas best suited for mixed method research it would be natural for the deeper philosophical theory or theories of mixed methods to be postponed, much as Smart, Feldman and Ethington (2006) found a willingness for researchers to revert to their preferred and more easily measured  research domains and begin to neglect the messy and challenging issues of environmental factors affecting student success. One is reminded of the story of the man who’d lost his key in a dark alley but was searching for it under the streetlight because the light was better there.

I am arguing that there are situations where even mixed methods are properly and rigorously applied, and interpreted in best professional practice, that the insights may serve only to help decision-makers appreciate the vastness of what they do not understand, and better act within an uncertain environment, humble in their ignorance, yet moved to action from values and on the basis of principles informed by the best practice of inquiry.

It is my contention that in those situations described so aptly as “wicked problems” by Rittel & Webber, (1973) that a  deep theory of mixed methods may be developed that is co-equal to that of qualitative and quantitative methods. I argue that mixed methods not only are useful in solving less-than-wicked problems, as described by Creswell and Plano Clark,  but most appropriate to engage with uncertainty and complexity for the express purpose of appreciating deeply the current situation. The deep theory of mixed methods I anticipate would require explicit inclusion of all 4 world views, since there is no a priori basis for excluding any of the 4. I thinkit quite likely that a reasonable assumption of a deep theory of mixed methods in fact could require an explicit inclusion of the best practices of each world view in some fashion, details to be determined, of course.

The shift in epistemological  perspective seems important to me,  and which should be developed in tandem to the directions for improvements in design and pure method described by Creswell and Plano Clark.  Checkland’s application of soft systems methodology,  artfully describes  “learning towards success” in a satisfying way (Checkland & Poulter, 2006).

The best expression of the theoretical stance towards irreducible complexity intersecting the human need for the state of nature or through any objective criteria (Boje, 2001) and in the work of Hayden White (1987) concerning the relationship between narrative discourse and the historical representation. These insights are causing me to reflect deeply on my own essentially pragmatic worldview and its underlying assumptions, and lead me inevitably back to the proposition that we need the methodological theory of mixed methods developed simultaneously with that of its design choices and specific methods.

References

Argyris, C.  (2008). Teaching smart people how to learn. Boston, Harvard Business Press.

Astin, A. (1999) Student involvement: A developmental theory for higher  education.  Journal of College Student Development (Sep/Oct, 19990 (Vol 40, No 5)

Beltyukova, S. & Fox, C. (2002) Student satisfaction as a measure of student development: Towards a universal metric.  Journal of College Student  Development (Mar/Apr 2002)

Checkland, P. & Poulter, J. (2006). Learning for action: A short definitive account of soft systems methodology and its use for practitioners, teachers, and students. West Sussex, England,  John Wiley & Sons Ltd.

Clark, M. & Rossiter, M.  (2008). Narrative learning in adulthood.  In S. Merriam (Ed) Third Update On Adult Learning Theory (pp 61-70). San Francisco,  Josey-Bass.

Creswell, J. (2009). Research design: Qualitative, quantitative and mixed methods approaches (Third ed.). Thousand Oaks, CA: Sage Publications, Inc.

Dorner, D. (1996). The logic of failure: Recognizing and avoiding error in complex situations. New York, Metropolitan Books.

Edmondson, A., and McManus, S. (2007). Methodological fit in management field research. Academy of Management review 32: 1159-1176

Fenwick, T.  (2008). Workplace learning: Emerging trends and new perspectives.  In S. Merriam (Ed) Third Update On Adult Learning Theory (pp 17-28). San Francisco,  Josey-Bass.

James, E. A., Milenkiewicz, M., Buchnam, A., (2008).  Participatory action research: Data driven decision making for school leadership. Thousand Oaks, CA: Sage Publications

Kearsley, G. (1997). The Virtual Professor: A Personal Case Study. Retrieved from http://home.sprynet.com/~gkearsley/virtual.htm

Lincoln, Y. (1983) Expectancy theory as a predictor of grade-point averages, satisfaction and participation in the college environment.  Annual meeting paper, Association for the Study of Higher Education, 1983.

Long, K. (2009). Participatory Action Research pilot study notes. Ft Leavenworth, KS: CGSC (unpublished).

March, J. (1994). A primer on decision making: How decisions happen. New York, The Free Press (Simon & Schuster Inc).

Prasad, P. (2005). Crafting qualitative research: Working in the postpositivist traditions. Armonk, New York, M. E. Sharpe.

Rittel, H., and M. Webber (1973). Dilemmas in a general theory of planning.   Policy Sciences, Vol. 4, pp 155-169.

Schon, D. (1987). Educating the reflective practitioner. San Francisco, Jossey-Bass.

Senge, P., McCabe,N., Lucas, T., & Kleiner, A. (2000). Schools that learn: A fifth discipline fieldbook for eductaors, parents and everyone who cares about education. New York, Doubleday.

Siemens, G., (2005). Connectivism: A learning theory for the digital age.  International Journal of Instructional Technology and Distance Learning 2 (10), 2005.

Smart, J., Feldman, K., & Ethington, C. (2006). Holland’s theory and patterns of college student success. Commissioned report for the national symposium on postsecondary student success: Spearheading a dialog on student success

Taylor, K. & Lamoreaux, A.  (2008). Teaching with the brain in mind.  In S. Merriam (Ed) Third Update On Adult Learning Theory (pp 49-60). San Francisco,  Josey-Bass.

TRADOC Pam 525-5-500. (2008).  Commander’s Appreciation and Campaign Design.

Trochim, W. Research methods knowledge base (2006). Types of designs.  Retrieved from http://www.socialresearchmethods.net/kb/desdes.php

Waldrop, M. (1992,2008). Complexity: The emerging science at the edge of order and chaos. New York, Simon & Schuster, Inc.

Watkins, T, (2009). Consumer theory in economics. San Jose State University Economics Department website. Retrieved from http://www.sjsu.edu/faculty/watkins/constheo.htm.

White, H.  (1987). The content of the form: narrative discourse and historical representation. Baltimore, The Johns Hopkins University Press.

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Design versus planning: what to do when you don’t know what to do

Posted by Ken Long on August 7, 2009

The scientific method has been responsible for the most extraordinary improvement in mankind’s standard of living. Since the Enlightenment and the Renaissance, it has been responsible for every major advance in human understanding and technology.

The scientific method relies on a positivists worldview, which can be said to value certainty, control, objective reality, and planning. Positivism asserts that the objective world exists independent of our senses and that we can reliably understand it through the action of our senses.

The scientific method and the rational analytical outlook on life has been so successful that it seems absurd to question it. In the last couple decades however, there have developed problems of such complexity that the normal response of planning and the scientific method have proven ineffective in solving.

This has given rise to entire new branches of science, such as chaos theory and complexity theory. These kinds of problems have become known as”wicked problems” in the academic literature. For these kinds of problems conventional planning is insufficient for achieving effective results. This is almost always a result of and improper identification of the problem prior to formal planning beginning.

Without the proper problem identification, it is as if planning cannot gain traction.

Another way to say this is that you plan when you already have a good idea about what to do.

But what do you do when you don’t know what to do?

This is where the idea of design comes into play. In the academic literature design is considered to be a pretty planning exercise in which problem identification is postponed until a deeper understanding of the situation in the context can be developed. Design would normally include multiple perspectives on the situation, with little regard paid yet to boundaries and outcomes. Both of these are normally found early in the planning process and design it would be premature.

Perhaps the most significant difference between the two processes of design and planning is this:

Planning proceeds from understanding to visualization to solution, while design begins with solution and proceeds through visualization to understanding. They are perfectly backwards.

Because we explicitly do not understand the situation and our normal means of understanding it has failed, design must proceed backwards. It starts with tentative solutions which are then compared to a situation to see if we can visualize how it might fit. From this visualization we find one of two things: if it seems like it might work than we can say we have begun to understand the complexity because of a solution which seems to fit. But if it doesn’t seem like it would work, we also understand more about the situation by ruling out possibilities.

In this way we can say that the solution comes prior to the problem identification. It seems like an anomaly but it turns out to be a routine part of design. Solutions in search of problems: the essential idea of design.

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Traders Roundtable: Maximum Compounded Return Versus Fear of Drawdown

Posted by Ken Long on August 2, 2009

In a recent traders roundtable discussion on the subject of balancing maximum gain with risk management the question was posed how to reconcile these two issues. A few definitions for the purposes of this essay are in order.

First let’s consider maximum compounded return to be defined as a system that is traded at every viable opportunity at the maximum level of acceptable risk with profits that are rolled into the total portfolio and with maximum acceptable risk in leveraging the markets money. This definition allows us to stay within natural risk limits but operate the machine as close to the red line of sustainable performance as possible.

Now let’s consider the fear of drawdown to be defined as the natural human response to operating power tools or heavy equipment in a dangerous setting as close to the edge as possible with full recognition of the consequences implied of potentially catastrophic failure. The human mind is capable of creating shades of distinction between various perceived levels of risk and these degrees of perception vary by individual. Some people are fully physically capable of walking within 5 feet of the edge of the balcony where as others can go right up to the edge and peer over and still remain in full normal natural control of their reactions. For each person though there is a line beyond which you judge that you are in dangerous territory in that extraordinary measures of protection and care must be taken because of the increased risk.

I am certain that there is a lot of evolutionary biology involved inside our brains which had to face this exact challenge on every front in prehistoric times or more technically, in the era of evolutionary adaptation. Even the most primitive caveman was certainly capable of appreciating the pay off of killing a mammoth for the future of survival needs of the tribe. And yet that same caveman was fully aware of the danger to himself that he took by stocking the huge beast. Sharpened by fear and hunger in the visions of a plentiful tomorrow, each caveman had to reconcile distention in some fashion and the successful ones passed on their adaptations to countless generations. This manifests itself in modern times in any place where risk and reward are brought together and we asked humans to make a balanced trade-off decision.

In every significant situation, and by significant I mean where impactful money is being rest for an impactful reward, the brain is flooded with chemicals which trigger flight or fight responses and invoke millions of years of stored up collective unconsciousness which shape and color our decisions and effectiveness of implementing those decisions. Trading is no different.

My sense is that for long-term safety and survival and given a trading system that generates a significant number of opportunities that long-term survival should drive us towards finding the minimum level of risk with which to trade to meet our specific financial goals. For those whose goal is expressed as maximum compounded rate of return, I suggest they are more likely than not to push it past the red line and come crashing down.

Without an appreciation of the real cost and friction associated with long-term trading in multiple market conditions that require constant adaptation is too easy to extrapolate the results of a few successful trades into next taxation that is far from being achievable. These false expectations are more likely than not to add to the level of stress and further degrade performance. My sense is that minimum risk levels rather than maximum risk levels are appropriate place to begin your inquiry into long-term trading as a potential career.

Therefore, I strongly suggest that you start with ways to use part-time small position sizing trading and learn to supplement your current income at your current standard of living and proceed in small stages, and getting larger only when supported by the evidence of long-term performance. It’s an incremental approach, it does not generate lottery size winds, but it will keep you in the game while you’re learning and keep your feet planted firmly on the ground.

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Testing the Word 2007 Blog publishing template

Posted by Ken Long on August 2, 2009

This is to see how things come through when written in Word 2007 and pushed to the blog site.

Here is a sample picture:

 

Am wondering how tags and categories are handled?

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Traders roundtable discussion: the issue of optimization in research

Posted by Ken Long on August 2, 2009

We were having a traders’ roundtable discussion on the topic of researching potential trading systems and the issue of optimization came up. This is a very important topic for traders who want to apply a systematic approach to trading markets. Here are some of the highlights of that discussion for you to consider as you prepare your trading strategies.

Typically when we think of optimization for a trading system we are looking at a process that incorporates multiple variables, parameters with different settings possible and perhaps a number of market filters or conditions which taken together with an exit strategy give us a multitude of ways to trade a particular concept or idea.

It normally begins with an idea the trader has based on insights fromtheory or from reflective practice where he believes the system gives a persistent advantage compared to the average market return  of simply buying and holding. It is also possible however that the edge may come from a brute force data mining operation that finds a statistical edge in some combination of market conditions. In other words, the insight comes from the result of massive computations and not from an intuitive or academic insight.

In either case , what we have is a system of multiple components, each of which can vary, and on an initial pass through with middle-of-the-road parameter settings we find a persistent edge in multiple markets with a statistical significance. Human nature being what it is, we would want to start testing different parameter settings for each component in order to determine the best mix for the most robust return and to find which of the parameters seem to have the most power when it comes to influencing the results. In statistics, this general approach is called factor analysis or principal component analysis.

In theory, you would want to find the absolute maximum return by finding the absolute optimum setting for each of the possible parameters and then take that into the market to begin trading. Taken to an extreme, this can produce a phenomenon of curve fitting or over optimization. What you can end up with is a system that would be perfect for the unique set of data conditions of the test. The problem of course is that the future may not ever show you that same data set again in your over optimize system will under perform much to your surprise.

The usual response to this phenomenon is to conduct testing with out of sample data. In other words designing the system on one data set and refining it to a certain degree and then testing it on a completely new set of market data to see if the edge persists. If you were systems development practice find you always discarding your systems after the out of sample test, it probably occurs as a result of over optimization.

In practice then, we want to find the trade-off between robustness of performance in multiple market conditions with out of sample testing that yields a persistent advantage in multiple market conditions but without trying to overturn the system for ideal conditions.

A way to keep this systematic approach in tune is to continue to monitor performance in a feed-forward approach that examines actual trading results to see how the performance results compare to the test and confirmation performance curves.

The bottom line: the more you rely on automatic trading systems, the more important your research and validation process becomes since you will not be using inexperienced traders override protocol to keep you from going off the deep end.

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The future of education in a net-centric world

Posted by Ken Long on July 27, 2009

reinventinglife.org 

Surveys of CEOs and futurists alike all agree that the future is calling to us with a need for open systems, open thinking, collaborative organizations, workplaces and attitudes.  Net-centric  democratic education,  public and private movements for social justice, moral and honorable business enterprises,  and cross cultural communications all place a premium on skills, tools, and attitudes that encourage and multiply the network effect.

Doctoral research should reflect this same willingness to push boundaries, and encourage the use of collaborative teams of researchers and practitioners to explore collaborative theory and practice. If collaboration works in practice, there needs to be a theory of collaborative action, and the research in support of that practice should reflect the same principles as the work itself.

Like all new movements, there is a bootstrap problem when you try to go beyond conception into first action.  How do you create the initial conditions to generate the spark of collaboration which can ignite the passion and energy of research teams? The words sound good, but we need a place to try it on for size; We need supportive yet challenging places to discover, invent , develop and propagate the  best practices and techniques of collaborative knowledge creation.  We need places to test our theories, tell our stories and plan for the next cycle.

Dr Alana James’ growing community of practice at reinventinglife.org, centered on the principles and techniques of Participatory Action Research, is just such a node. It serves as an incubator for researchers and doctoral students seeking to develop the net-centric research effect. It goes beyond dry academic reports of practice, by being a live and vibrant laboratory for discovering, applying and reporting on the “theory-in-use” of open education.

It is a combination of challenging questions, a tool repository for new applications of digital learning and research, and is creating a circle of multiple competencies that will support  spin-off collaborations in a variety of settings that will propagate waves of change throughout the network like waves in a pond.

Dr James’ leadership in this area is paving a way for new approaches to research and practice and is exactly the kind of practice which needs support and recognition. She has the vision to imagine revolutionary positive changes in the world around her, the moral courage to invest in encouraging the Voices of students and co-researchers as we work to define and realize that future, and the skills to lead and encourage that change.

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when post-positivism meets uncertainty

Posted by Ken Long on July 26, 2009

I am thinking about trying to figure out how to conduct research “properly” in the regions beyond the boundary of post-positivism.

Think of a farm that now borders the deep dark woods.

In the beginning we have a farm, surrounded by other farms, and over time, we haved figured out through trial and error, what works, even considering how variable the weather may be. The trial and error has been so successful that we have codified it into formal science and our success grew by leaps and bounds.

our farm now has expanded and on the border we encounter a deep, dark forest, whose boundaries we cannot see, only glimpse, and in whose depths we can see only shadows.

The farmland is the land where positivism and post-positivism excel. We are able to reduce and analyze problems and rely on the rules of cause and effect and the power of math to find answers and produce reliable solutions. It’s a land wherein all things are knowable.

In the forest, however, things change so much that our old rules don’t seem to apply. Things change faster there, unpredicatably, sometimes as if by chance, and at other times by rules that only sometimes seem to make sense, and the ruules seem to change as soon as we write them down. There are plenty of things we don’t yet understand. There seem to be things that are essentially unknowable. This is the land of complexity and chaos, where new rules sets are tentative and unproven. William Poundstone has written powerfully about these kinds of paradoxes in his book Labyrinths of Reason. The Sante Fe Institute in New Mexico researches this area in a scholarly manner.

It turns out that the epistemology of the farmland breaks down in the land of the forest. At the same time, the emerging rulesets of the forest don’t perform as well when you bring them into the farmland, because they are too tentative and uncertain, and in the farmland efficiency and certainty can be achieved and are rewarded.

People who would explore the forest know a lot less about that region than the people who explore the farmland know about the farms, and sometimes they talk past each other because they are coming from 2 different epistemologies, which in turn can create a disconnect at the ontological level itself (ie the nature of the world).

My sense is that in the “forest” of complexity, chaos and uncertainty, that mixed methods are going to be absolutely essential when it comes to developing an understanding of how to stay alive and thrive out there.

As we grow in knowledge we are able to push the boundaries of the farm out into the forest. everything that is coming out of the study of the science of complexity and uncertainty and chaos, however, suggests that there is some vast amount of forest that must remain out there beyond our ability to “domesticate” with the power of post-positivism.

This doesn’t disrespect post-positivism and all the good that it can do, it only says that the world is stranger than we CAN imagine so far, and that in the forest a different world view is useful.

The Sante Fe folks have a combination of pragmatism and constructionism threaded throughout their work, while at the same time having a deep and abiding respect for science and scientific method, as evidenced by the Nobel laureates they have on staff

what's your judgement on the state of the farm vs forest discussion? i pick #2

what's your judgement on the state of the farm vs forest discussion? i pick #2

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reflecting on the forest past the boundary of post-positivism

Posted by Ken Long on July 26, 2009

Creswell talks about the 4 worldviews that shape the  research goals, objectives, methods, interpretive measures, and sense making of researchers.  I inherited a post-positivist outlook from my formative years working in a machine shop with designers, engineers, craftsmen,  and other shop rats. My years of experience as a planner in the Army helped me appreciate the pragmatic worldview, which drives you to focus on results by any means necessary and without an overly strict compulsion to stay committed to a particular method, at the cost perhaps of sacrificing deep understanding or the pursuit of Truth.

I have rejected advocacy as a legitimate worldview for most of my life, with the exception of the values of freedom and democracy, as I am unwilling to committ on faith to untested beliefs, and have witnessed how advocacy can lead people to distort findings and spin results.

Constructivism seems more and more useful to me as I investigate social situations and complex human problems and opportunities.

The doctoral program is really helping me examine my beliefs and knowledge claims, and I have seen the positive results in my teaching that have emerged fron the cycles of reflective learning.

I have hit a tipping point where I must begin the convergent writing and thinking that will result in the dissertation, and it is with some sadness that I recognize that I have to put some of the divergent thinking aside in order to focus on task accomplishment.  This part of the journey wont be as much fun. I wish I could just push a button and get thru it and get back to scouting new knowledge areas which is how i prefer to spend every waking moment, in order to feed my dreams.

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