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  2. Quasi-experiment - Wikipedia

    en.wikipedia.org/wiki/Quasi-experiment

    The quasi-independent variable is the variable that is manipulated in order to affect a dependent variable. It is generally a grouping variable with different levels. Grouping means two or more groups, such as two groups receiving alternative treatments, or a treatment group and a no-treatment group (which may be given a placebo – placebos ...

  3. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    In some cases, independent variables cannot be manipulated, for example when testing the difference between two groups who have a different disease, or testing the difference between genders (obviously variables that would be hard or unethical to assign participants to). In these cases, a quasi-experimental design may be used.

  4. Dependent and independent variables - Wikipedia

    en.wikipedia.org/wiki/Dependent_and_independent...

    Here the independent variable is the dose and the dependent variable is the frequency/intensity of symptoms. Effect of temperature on pigmentation: In measuring the amount of color removed from beetroot samples at different temperatures, temperature is the independent variable and amount of pigment removed is the dependent variable.

  5. Difference in differences - Wikipedia

    en.wikipedia.org/wiki/Difference_in_differences

    Difference in differences (DID [1] or DD [2]) is a statistical technique used in econometrics and quantitative research in the social sciences that attempts to mimic an experimental research design using observational study data, by studying the differential effect of a treatment on a 'treatment group' versus a 'control group' in a natural experiment. [3]

  6. Repeated measures design - Wikipedia

    en.wikipedia.org/wiki/Repeated_measures_design

    Repeated measures design is a research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods. [1] For instance, repeated measurements are collected in a longitudinal study in which change over time is assessed.

  7. Single-subject design - Wikipedia

    en.wikipedia.org/wiki/Single-subject_design

    In order to determine the effect of the independent variable on the dependent variable, the researcher will graph the data collected and visually inspect the differences between phases. If there is a clear distinction between baseline and intervention, and then the data returns to the same trends/level during reversal, a functional relation ...

  8. Should you use a personal loan to pay your taxes? - AOL

    www.aol.com/finance/loan-to-pay-taxes-124723856.html

    A personal loan may offer a cheaper way out of tax debt if you can meet 3 key criteria. Learn the benefits and drawbacks — including alternatives — in this comprehensive guide.

  9. Quasi-variance - Wikipedia

    en.wikipedia.org/wiki/Quasi-variance

    Quasi-variance (qv) estimates are a statistical approach that is suitable for communicating the effects of a categorical explanatory variable within a statistical model.In standard statistical models the effects of a categorical explanatory variable are assessed by comparing one category (or level) that is set as a benchmark against which all other categories are compared.