About the Book
Source: Wikia. Pages: 77. Chapters: A-B-C-D Experimental design, Antecedent variable, Between groups design, Blocking, Case-control study, Case-control, Central composite design, Clinical trials, Cohort analysis, Confounding variable, Control variable, Debriefing, Dependent and independent variables, Dependent variables, Double-blind, Drug design, Experimental instructions, Experimental method, Experimentation, Factorial experiment, Field experiment, Followup studies, Fractional factorial designs, Hypothesis testing, Independent variables, Institutional Review Board, Interaction analysis, Interaction variable, Longitudinal studies, Lurking variable, Matched pair design, N of 1 trial, Nested case-control study, Nocebo, Null hypothesis, Null result, Nuremberg Code, Observational study, One-factor-at-a-time method, Placebo, Placebo, Probability of error, Random assignment, Random sampling, Randomized controlled trials, Repeated measures, Resentful demoralization, Response surface methodology, Single-subject design, Single-subject research, Sparsity-of-effects principle, Statisical hypothesis testing, Statistical assumptions, Statistical correlation, Stratified sampling, Study design, Systematic sampling, T-design, Testing statistical hypotheses, Treatment group, Type II errors, Type I and type II errors, Type I errors. Excerpt: A-B-C-D Experimental design is a form of single case experimental design in which a baseline phase is followed by three different treatment conditions. An antecedent variable is a variable that occurs before the independent variable and the dependent variable. For example, in politics, a special interest group may want to support a politician who backs their cause. The group would look for a candidate who supports their views and support his election. Once in office, the politician would then conduct policy that supports the interest group. Thus, the variable relationship formula would look like this: Antecedent variable (interest in cause)...
