Research Terms          


Science is a system we have developed for the acquisition of knowledge about the sensory world. That world includes people, institutions, culture, technology; in short, anything you can see, hear, feel, touch, or smell. Scientists do research to try and find answers to questions, usually in an effort to solve problems, but sometimes simply for its own sake. They are usually looking for cause and effect relationships between the things in that world.

Research Methods
Research methods are the processes researchers use to obtain and analyze data. They are the processes researchers use in order to increase their understanding of a part of their world. These processes have been developed by the scientific community over time and have become an accepted part of the culture in which we are socialized and educated. But no matter how hard the scientific community works at achieving objectivity, research is still done by people, so when you look at the results of research (typically in a publication or other form of report) you should remember that we learn as much about the researcher as what they researched.

The interpretations which result from research (data, theories, program proposals, etc.) produce findings not facts and what you make of that product, its value to you, depends on the degree to which the perspective and processes used by the researcher are compatible with your own. Furthermore, although their methods are generally more explicit and formalized, researchers really don't have any additional intellectual tools available to them than you do. Those doing hard science research (chemistry, biology, medicine, etc.) simply have access to expensive instruments or a staff of assistants. Those doing soft research (sociology, psychology, anthropology, etc.) have the money to send out questionnaires or teams of interviewers. But they both find out about their part of the world by observing it or by asking others about it and then analyzing the raw data.

Finding A Topic

Getting a topic idea is relatively easy for the professionals. They have substantial experience, they know what they’re dealing with, and they know how to convert the topic into one of sufficient specificity and focus so that their research makes a contribution to knowledge and is "doable" within the parameters of time, resources and opportunity. The key to doing the latter is generally specificity in reviewing previous and existing research or intervention projects. That is, simply reading texts or summaries or popularized accounts of those projects is not sufficient. One needs to become as familiar as possible with those projects and that usually means examining the complete descriptions published in journals, presented at conferences, or critiqued in a variety of professional forums.

Research Terms

Here are a few terms you may come across as you do your own research into the reports and documents which result from the research of scientists.

Paradigms
A paradigm is a framework implicit in any research. There are four major paradigms which affect research:

Data
Unadulturated information about phenomena; a pile of questionnaires is a set of data.

Cause
A factor in the relationship between phenomena; in western culture, cause must meet these criteria:

  • Category: only certain phenomena are in the class of potential causes
  • Precedence: the cause must precede the effect
  • Proximity: the cause must be near or close to the effect
  • Covariation: the cause must be present when the effect is present and absent when the effect is absent

    Theories and Models
    Theories and Models explain relationships between phenomena. Predictions or hypotheses can be derived from them concerning relationships which can be tested in the real world. If the hypothesized relationships are found, the theory or model is supported. Research focusing on the testing of hypothesized relationships is called hypothesis-testing research. In an analogous way, predictions can be derived from programs or policies and tested empirically. This type of research is often called evaluation research, social impact analysis, market research, needs assessment research, and so forth.

    Validity
    A primary requirement of research is that it have five kinds of validity (truth).

    • Construct Validity: the validity of the theory or model when it is actually used. In other words: does it work the way the researcher says it does?
    • Internal Validity: The extent to which the effects observed can be attributed to the variables studied.
    • External Validity: The generalizability of the findings to other populations, settings, and procedures
    • Cross-Cultural Validity: The extent to which the findings are true for cultures other than those in which the research was conducted.
    • Ecological Validity: The degree to which the findings are true for the ecology of the research setting.

    Reliability
    The extent to which the data is replicable both within and across research contexts.

    Research Design
    The structure of the research; how the variables were assessed, manipulated, or controlled to establish relationships.

    Representative Sample
    A sample in which the subjects are randomly selected so that each member of the population being studied has an equal opportunity of being selected; selection of one subject does not alter the opportunity of others in the population being selected

    Demand Characteristics
    Characteristic of bad research; the information communicated by the research produces the desired or expected behavior--you get what you expect.

    Experimenter, Interviewer, or Observer Bias
    A tendency to obtain differences in behavior and/or observation or measurement of that behavior between conditions consistent with the experimenter's expectations.

    Quantitative Methods
    Applied mathematics as used to help describe and draw inferences from research data.

    Population
    Any class of phenomena defined in terms of unique and observable/measurable characteristics-- usually the people the researcher is interested in understanding.

    Sample
    Some subset of a population--the people the researcher actually studies.

    Parameter
    A mathematical characteristic of a population.

    Statistic
    A mathematical characteristic of a sample.

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