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  2. Argument map - Wikipedia

    en.wikipedia.org/wiki/Argument_map

    Intermediate conclusions or sub-conclusions, where a claim is supported by another claim that is used in turn to support some further claim, i.e. the final conclusion or another intermediate conclusion: In the following diagram, statement 4 is an intermediate conclusion in that it is a conclusion in relation to statement 5 but is a premise in ...

  3. Index (statistics) - Wikipedia

    en.wikipedia.org/wiki/Index_(statistics)

    In statistics and research design, an index is a composite statistic – a measure of changes in a representative group of individual data points, or in other words, a compound measure that aggregates multiple indicators. [1] [2] Indices – also known as indexes and composite indicators – summarize and rank specific observations. [2]

  4. Argument by example - Wikipedia

    en.wikipedia.org/wiki/Argument_by_example

    Though the above paragraph contains a common conclusion indicator word ("thus"), it nevertheless is merely illustrating a fact of taxonomy. However, this could be made into an argument. Taxonomists use Latin words to classify various animals so that scientists who speak different languages can communicate discoveries more easily.

  5. Indicator (statistics) - Wikipedia

    en.wikipedia.org/wiki/Indicator_(statistics)

    In statistics and research design, an indicator is an observed value of a variable, or in other words "a sign of a presence or absence of the concept being studied". [1] Just like each color indicates in a traffic lights the change in the movement.

  6. Research design - Wikipedia

    en.wikipedia.org/wiki/Research_design

    A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...

  7. Statistical conclusion validity - Wikipedia

    en.wikipedia.org/wiki/Statistical_conclusion...

    Statistical conclusion validity is the degree to which conclusions about the relationship among variables based on the data are correct or "reasonable". This began as being solely about whether the statistical conclusion about the relationship of the variables was correct, but now there is a movement towards moving to "reasonable" conclusions that use: quantitative, statistical, and ...

  8. Construct validity - Wikipedia

    en.wikipedia.org/wiki/Construct_validity

    Most researchers attempt to test the construct validity before the main research. To do this pilot studies may be utilized. Pilot studies are small scale preliminary studies aimed at testing the feasibility of a full-scale test. These pilot studies establish the strength of their research and allow them to make any necessary adjustments.

  9. Evaluation - Wikipedia

    en.wikipedia.org/wiki/Evaluation

    In common usage, evaluation is a systematic determination and assessment of a subject's merit, worth and significance, using criteria governed by a set of standards.It can assist an organization, program, design, project or any other intervention or initiative to assess any aim, realizable concept/proposal, or any alternative, to help in decision-making; or to generate the degree of ...

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