Chapter 34: notational system for design
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NSD = notational system for design
34.1 graphic notation
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- : treatment or exposure to an agent or an event of interest
- : placebo, i.e. blank treatment or exposure, or standard treatment, or exposure as an active control
- : observation or process of measurement
- : randomization, i.e. random assignment of research subjects to separate treatment or exposure groups
- subscript
- : groups
- : kinds of treatments, exposures, or placebos
- : time or sequential order
https://tex.stackexchange.com/questions/591882/citation-within-a-latex-figure-caption-in-rmarkdown
(ref:rudolph) *nice* cite: [@Lam94].
(ref:campbell1963) *nice* cite: [@campbell1963].
(ref:campbell1963) ([@campbell1963]
(ref:campbell1963) \ [@campbell1963]

Fig. 24.1: pre- and true experimental designs ( 5 p.8)

Fig. 30.2: quasi-experimental designs ( 5 p.40)

Fig. 17.1: quasi-experimental designs continued ( 5 p.56)
34.2 pre-experimental design
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34.3 true experimental design
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34.3.1 posttest-only control group design
basic experimental design
two-sample test
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or, with a placebo or an active control,
or, with a placebo or an active control
or, with a placebo or an active control
34.3.3 Solomon four-group design
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Solomon 4-group design = pretest-posttest + posttest-only control group design
34.4 quasi-experimental design
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34.5 correlational and ex post facto designs
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34.6 graphic notation, advanced
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- : treatment or exposure to an agent or an event of interest
- : placebo, i.e. blank treatment or exposure, or standard treatment, or exposure as an active control
- : observation or process of measurement
- : randomization, i.e. random assignment of research subjects to separate treatment or exposure groups
- subscript
- : groups
- : kinds of treatments, exposures, or placebos
- : time or sequential order
- : variable(s)
- : blocking by the variable(s)
- : matching by the variable(s)
- : stratifying by the variable(s)
- : limiting to the level(s) of the variable(s)
- : research material(s) selected
- : cohort
references
5.
Campbell, D. T. & Stanley, J. Experimental and Quasi-Experimental Designs for Research. (Cengage Learning, Belomt, CA, 1963).
9.
Hu, F.-C. Statistical Design and Analysis of Biomedical Research. (International-Harvard (I-H) Statistical Consulting Company, Taipei, Taiwan, 2022).