A kind of study that controls the circumstances of t he research and measures the results exactly.
represent ideal methods for the design of behavioral research in that they rule out virtually all threats to internal validity through the use of control groups and random assignment (Shavelson, 1996)
A branch of statistics that attempts to outline the way in which experiments should be carried out so the data gathered will have statistical value.
A procedure that attempts to establish a cause and effect relationship. The outcomes are measured before and after the causal intervention under study. The result is compared to an alternative situation in which there is no causal intervention. Sources of a causal effect other than the one under study are controlled by the experimental design and randomization. See the Tool Kits on this web site for specific instructions.
This is a test wherby the researcher performing it has control over one, or a few independent variables and manipulates them to retreive the most relevant data.
A formal plan that details the specifics for conducting an experiment, such as which responses, factors, levels, blocks, treatments and tools are to be used.
a procedure for devising an experimental setting such that a change in a dependent variable may be attributed solely to the change in an independent variable
a study design that gives the most reliable proof for causation
The plan of the experiment which specifies the treatment conditions (independent variables ), what is to be measured (dependent variables ) and methods of assigning subjects to groups.
the plan for conducting a specific piece of research; specifically, the plan for selecting subjects, manipulating dependent variables, and collecting and analyzing data.
A study in which there is random assignment of subjects to different groups so that there are no major differences between the control and comparison groups. An experimental study controls all the conditions: The environment Sample assignment (random assignment in two groups) Treatment/Intervention (Practice/Program)
A formal research design used for evaluating the net results of an activity. All experimental designs are structured to provide a means to assess what might otherwise have happened if the activity did not take place. See glossary items as well for quasi-experimental designs, random-assignment experimental designs and external effects.
The art of planning and executing experiments. The greatest strength of an experimental research design, due largely to random assignment, is its internal validity: One can be more certain than with any other design about attributing cause to the independent variables. The greatest weakness of experimental designs may be external validity: It may be hard to generalize results beyond the laboratory.
Design and purpose common to all hybridisations performed in the experiment
Advanced statistical techniques used to analyze the effects of process parameters, or factors, and their levels. Also known as design of experiments (DOE) through experimental design training (EDT).
The plan of an experiment, including selection of subjects, order of administration of the experimental treatment, the kind of treatment, the procedures by which it is administered, and the recording of the data (with special reference to the particular statistical analyses to be performed).
A study design that calls for the control or manipulation of the independent variable in some way. A study design in which subjects are randomly assigned to experimental groups and receive treatment in the form of the independent variable.
The plan of an experiment. It involves the assignment of treatments to the experimental units.
A research design in which the researcher has control over the selection of participants in the study, and these participants are randomly assigned to treatment and control groups.
A plan for collecting and treating the data of a proposed experiment. The design is evolved after preliminary exploration, with the aims of economy, precision, and control, so that appropriate inferences and decisions can be made from the data.