Sharon Bender

 
 
 
 
 
Quasitative and the Q3 Inquiries Approach
 

Dr. Sharon L. Bender

July, 2006

 

Quasitative

 

Quasitative is a term most often used to define a mixed application, appearing in a variety of publications and blogs dating back to 1949. The general purpose in a quasitative approach is to express its relationship to quantitative and qualitative inquiries in a kind of mixed or quasi (self-styled) approach. I have expounded upon these principles by exploring and testing quasitative inquiry/research/approach in a "trio of epistemological inquiries" called "Q3 Inquiries."

 

The term “quasitative research” was used in 1999 in HRDC - Monitoring Study of the Group Information Sessions. I published this term in my January, 2005 article concerning Quasitative Approach, Q3 Inquires, and 3Rs of Research. The earliest publication I have found using the term "quasitative" is in a Harvard physics paper.

 

Q3 Inquiries

 

Q3 Inquiries was the result of my interests stemming from my dissertation study. Through the use of "triangulation thinking" I was able to conceive this trio of epistemological inquires. "Triangulation is a hybrid variation to the strict dichotomy of quantitative versus qualitative research (Bender, 2000, p.76)."

 

Q3 Inquiries is depicted in Figure 1, which defines some of the means by which the many possible components in the Q3 Inquires approach may be aligned. This model is ever-evolving. Its application is far reaching and complex.

 

Quantitative (N)

Qualitative (n)

Quasitative (Nn)

measurable

observable

imaginable

pre-existing phenomena (past)

co-existing phenomena (present)

non-existing phenomena (potential)

objective 

subjective

collective

facts (statistics)

words (objects)

ideas (prospects)

method-oriented

matter-oriented

meaning-oriented

variables conclusive

variables explorative

variables amalgamative

generalized (formality)

naturalized (complexity)

homogenized (unity)

exiting

emerging

evolving

inquiry at latter phases

inquiry at earlier phases

inquiry at all phases

piece analysis

pattern analysis

picture analysis

numerical/testable

contextual/robust 

consensual/controversial 

causal/speculative

rational/descriptive 

philosophical/provocative 

empiricism

rationalism

constructivism

sensitive inputs 

cognitive processes 

innovative outputs 

analyze

realize

conceptualize 

me in seclusion

(individual)

you in participation (organizational)

us in combination

(communal)

microscopic 

macroscopic 

megascopic 

substantive

connective

collaborative

impartial

immersed

implicating

deductive (top-down)

inductive (bottom-up)

conductive (middle-out)

regular and predictable

not predictable

somewhat predictable

narrow focus

broad focus

multi-lens focus

controlled environment

natural environment

mixed environments

close-ended

open-ended

blended

what/where/when

why/how/who

what/where/when/why/how/who

Figure 1. Q3 Inquiries Model

 

The Q3 Inquiries model permits us to investigate any problem or issue via a host of perspectives. For instance, we might seek to measure strengths, observe opportunities, and imagine roadblocks using my SOR Analysis approach, a hybrid of SWOT analysis connoting strengths, opportunities, and roadblocks. We can use my ARC Analysis approach and analyze quantitative methods, realize qualitative matters, and conceptualize quasitative meaning. The possibilities are virtually endless when using tenets of the Q3 Inquiries model that organizes method, matter, and meaning. It is the heart, mind, and soul of our decision making, which involves solving problems such as the conflicts and ethical dilemmas in our lives.

 

Research Paradigms

 

Quantitative, Qualitative, and Quasitative are research paradigms that each comprises and employs a unique set of cultures of inquiry or research design.

 

Quantitative inquiry/research/approach in the Q3 Inquiries model is a substantive/objective element that provides the facts of the past that identify how long an issue has been in existence, providing one piece to the big picture. Aside from measuring the past, the quantitative realm enables us to understand the individual, organizational, or social purpose in mathematical terms. We can examine by what method we have been performing. If it has not been effective, it is time in the present to modify what was done in the past so that the potential may be realized.

 

Cultures of Inquiry (Research Designs): Experimental and Non-Experimental research approaches.

 

Qualitative inquiry/research/approach in the Q3 Inquiries model is a connective/subjective element in its location between the past and the potential. We can examine the past and the potential, but we cannot exist in those realms. It is our present concerns that dictates our interest in the past and the potential. Likewise our potential is affected by our present. Everything in life revolves around and centers on our present state of being. A piece from the past can formulate a pattern in the present, which can ultimately affect the potential picture. The Q3 Inquiries model enables all of these possibilities. It is the "foundation" upon which constructive matter is based and it is the "umbrella" under which all matters are covered. Matter is a qualitative condition.

 

Cultures of Inquiry (Research Designs): Phenomenology, Ethnography, Case Study, Grounded Theory, Hermeneutic, and Historical research approaches.

 

Quasitative inquiry/research/approach in the Q3 Inquiries model is a collaborative/collective element that merges method and matter to derive meaning. The result is a vision that can be imagined and for which steps in the present can be taken to effectuate the desired outcome. Measurable and observable data can be examined and recycled many times in the quasitative realm in order to visualize a potential meaning of the data. The quasitative realm enables us to see the big picture. Click Here to learn more about quasitative inquiry/research/approach.

 

Cultures of Inquiry (Research Designs): Triangulation, Embedded, Explanatory,  Exploratory research, and mixed design approaches.

 

In the Q3 Inquiries model the position is to utilize quantitative, qualitative, and quasitative elements in all aspects of our lives for which the model represented here is one arrangement. This model is designed to work effectively in fully understanding our private, professional, and public worlds, our human realms.

 

Change is the law of life, and those who look only to the past or the present are certain to miss the future. — John F. Kennedy

 

Integration

 

Integration of quantitative and qualitative approaches to accomplish quasitative outcomes can occur as sequential, iterative, and in parallel. In parallel (quasitative) approaches, the quantitative and qualitative investigators work separately but compare and combine findings during the analysis phase. A mix of quantitative and qualitative data is typically used to create an understanding of both measured impact and interpretive process. In sequential and iterative approaches we can seek varying degrees of dialogue between the quantitative and qualitative traditions at all phases of the research cycle. Steps in the cycle include:

 

Step 1: Question (formulate hypotheses and questions)

Step 2: Collection (collect and analyze the data)

Step 3: Conclusion (produce the findings and conclusions)

 

Merging quantitative and qualitative approaches to accomplish quasitative outcomes can lead to three results. Findings may converge (lead to same conclusions), merge (lead to complimentary conclusions), or diverge (lead to contradictory conclusions). According to Rao and Woolcock (2003), the ten principles of conducting good mixed-methods evaluations are:

 

Ten Principles of Conducting Good Mixed-Methods (Quasitative) Evaluations

  1. Use “participatory econometrics,” an iterative approach where qualitative work informs the construction of a quantitative questionnaire. Allow for findings from the field to broaden your set of outcome or explanatory variables. This broadening will improve the analysis of possible externalities to the intervention as well as reduce the number of unobservables.

  2. Unlike quantitative questionnaires, qualitative questions should be open-ended to allow respondents to give relatively unconstrained responses. The question should be an opportunity to have an extended discussion.

  3. The data analyst should be closely tied to the data collection process.

  4. Qualitative work should follow principles of evaluation design similar to those for quantitative work; even when exclusively qualitative methods are used, the evaluator should “think quantitatively, but act qualitatively.”

  5. The qualitative sample should be large enough to reflect the major elements of heterogeneity in the population.

  6. Spend enough time in the community to allow an in-depth examination. This may sometimes mean anything from a week to several weeks depending upon the size and heterogeneity of the community.

  7. Hypotheses derived from the qualitative work should be tested for their generalizability with the more representative quantitative data.

  8. Use the qualitative information to interpret and contextualize quantitative findings.

  9. A poor and inexperienced researcher can have a much larger adverse impact on the collection of good quality qualitative information than on quantitative data.

  10. Qualitative methods should be thought of not as an inexpensive alternative to large surveys, but as tools to collect information that is difficult to gather and analyze quantitatively.

 

SCaT (square, circle, and triangle) may be used as a symbolic representation of Q3 Inquiries in the following manner:

 

Circle (data recycling) – quantitative (objective, measurable, individual/private realm)

- Data recycling is the data processing or reuse of raw data, a quantitative application.

 

Square (thematic grid) – qualitative (subjective, observable, organizational/professional realm)

- Thematic analysis is a qualitative approach in research, a qualitative application.

 

Triangle (triangulation thinking) – quasitative (collective, imaginable, communal/public realm)

- Triangulation is the convergence of several designs, a quasitative application.

 

Note: Data recycling represented by the circle may also be considered a qualitative approach as used in the hermeneutic cycle approach, a qualitative methodology. The circle is a universal component in the Q3 Inquiries model depending upon the circumstances for its use in a research endeavor.

 

Sources

 

Bender, S. L. (2000). Seven Characteristics of the American Woman Entrepreneur: A Hermeneutic Approach to Developing a Universal Characteristics Model. [UMI AAT998805]

 

Rao, V., & Woolcock, M. (2003). Integrating qualitative and quantative appraoches in progran evaluation. Culture and Publication.

 

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