Experimental Design - A blueprint of the procedure that enables the researcher to test his hypothesis by reaching valid conclusions about relationships between independent and dependent variables. It refers to the conceptual framework within which the experiment is conducted
Steps involved in conducting an experimental study
Identify and define the problem
formulate hypothesis and deduce their consequences
Construct an experimental design that represents all the elements, conditions, and relations of the consequences/
conduct an experiment
Compile raw data and reduce to usable form
Apply an appropriate test of significance
Typesb Of Experiment
Pilot Experiment
Exploratory Experiments
Confirmatory Experiments
Laboratory Experiments
Field Experiments
Natural/Quasi Experiement
True Experiments
Single-Subject experiements
Quasi-Experimental Design - Not randomly selected
Correlational : Researchers want to know if there is a relationship between the number of science courses students take and score on the National Assessment of Educational Progress science test
Ecological Validity - The degree to which an investigation represents real-life experiences
Experimenter Effects - These are the ways that the experimenter can accidentally influence the participant through their appearance or behaviour
Demand Characteristics - THe clues in an experiment that lead the participants to think they know what the research is looking for
Extraneous Variables - All variables, which are not the independent variable, but could affect the results
Cofounding Variables - That have affected the results, apart from the independent variable. A confounding variable could be an extraneous variable that has not been controlled
Exploratory Experiments - Can be used to generate data with which to develop hypotheses for future testing.
Confirmatory Experiments - Are used to test some relativity simple hypotheses stated a priori.
Laboratory Experiment - Usually carried out in an artificial situation, the researcher attempts to control for as many confounding variables by using standardised procedures.
Field Experiment - The researcher attempts to deliberately manipulate the independent variable, but does so in the participants own environment
Natural/Quasi Experiment - The researcher records the effect of the independent variable, which is changed by natural occurrences, on the dependent variable
Quasi = Seeming, resembles
True Experiment - subjects are randomly assigned to the treatment conditions. The only differences in the groups would be due to chance
Single-Subject experiments - involves a single case studied over a longer period of time. One individual or situation es exposed to the varying levels of the independent variable.
Experimental Research - An attempt by the researcher to maintain control over all factors that may affect the result of an experiment. In doing this, the researcher attempts to determine or predict what may accour
Experimental Design - A blueprint of the procedure that enables the researcher to test his hypothesis by reaching valid conclusions about relationships between independent and dependent variable.
Experimental control - Attempts to predict events that will occur in the experimental setting by neutralizing the effects of other factors
Selective Control - manipulate indirectly by selecting in or out variables that cannot be controlled
Statistical Control - Variables not conductive to physical or selective manipulation may be controlled by statistical techniques
Internal Validity - Asks did the experimental treatment make the difference in this specific instance rather than other extraneous variables
External Validity - Asks to what populations, settings, treatment variables, and measurement variables can this observed effect be generalized
history - The events occuring between the first and second measurements
maturation - The process of maturing which takes place in the individual during the duration of the experiment
Pre-testing - the effect created on the second measurement by having a measurement before the experiment
Measuring Instrument - Changes in instruments, calibration of instruments, observers, or scorers may cause changes in the measurement
Statistical Regression - Groups are chosen because of the extreme scores of measurements; those scores or measurements tend to move toward the mean with repeated measurements even without an experimental variable
Differential Selection - Different individuals or groups would have different previous knowledge or ability which would affect the final measurement if not taken into accout
Experimental Mortality - The loss of subjects from comparison groups
Interaction of Factos - Such as Selection Maturation, etc. - Combinations of these factors may interact especially in multiple group comparisons to produce erroneous measurements
Pre-test - Individuals who were pretested might be less or more sensitive to the experimental variable or might have "Learned" from the pre-test making them unrepresentative of the population who had not been pretested
Differential Selection - The seletion of the subjects determines how the findings can be generalized.
Experimental Procedures - The experimental procedures and arrangements have a certain amount of effect on the subjects in the experimental settings.
Multiple treatment interference - if the subjects are exposed to more than one treatment then the findings could only be generalized to individuals exposed to the same treatments in the same order of presentation
Control Group - The use of a matched or similar group which is not exposed to the experimental variable can help reduce the effect of history, Maturation, Instrumentation and Interaction of Facots
Randomization - Use of random selection procedures for subjects can aid in control of Statistical Regression, Differential Selection, and the interaction of facots.
Additional Groups - The effects of Pre-tests and experimental Procedures can be partially controlled through the use of groups which were not pre-tested or exposed to experimental arrangements.