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RS: Ch 9 Experimental control

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Answer
show THE EXPERIMENT  
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The purpose of the Experiment:   show
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show Researcher systematically introduces changes into natural phenomenaObserves consequences of those changesMust have sufficient control over ex situation to be a true exThose variables that are not able to be controlled are considered limitations  
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show if too much control can’t apply to the real world  
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Extraneous variables   show
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If an Extraneous Variable is not controlled it can exert a ________   show
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show designed to control for these confounding influences  
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show factors that emerge from the environment and the experimental situation  
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Intrinsic Factors:   show
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Confounding   show
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show The independent variable must be manipulated by the researcherThe participants must be randomly assigned to groupsA control group must be incorporated within the design  
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MANIPULATION OF VARIABLES   show
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The the Researcher does what to the active variable :   show
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show does NOT manipuate  
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show is an independen variable with levels that can be Manipulates and assigned by the researcher  
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Attribute variable:   show
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RANDOM ASSIGNMENT   show
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show is the assignment of subjects to groups using probability methods, where every subject has an equal chance of being assigned to each group.  
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show means any differenes between groups are due to chance alone, this way inter-participant differences should balance out  
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show probability!Done by use of random numbers table or computer  
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show extraneous effects  
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The control group usually receives   show
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The treatment group receives   show
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show is an experiment in which both the investigator and the subject are kept ignorant of group assignment  
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show an experiment in which either the investigator or the subject is kept ignoratnt of group assignment, not both Ronda- only experimenter is blind  
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show Selecting homogeneous participantsBlockingMatchingSubjects as own controlAnalysis of Covariance (ANCOVA)  
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Homogeneous participants   show
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show Builds the attribute variables into the experimental design as an IVExample:If age makes a difference have different age groupsRandomly assign participants within the group – randomized block design  
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Block   show
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Blinding   show
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show a variable taht is more likely to be present in one group of subjects than another, and that is related to the outcome of interest, thereby potentially "confounding" interpretation of the outcome.  
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show Participants “matched” based on specific characteristic(s)Example:AgeSexDisease  
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show All participants receive all levels of the IVRepeated measures design  
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ANALYSIS OF COVARIANCE   show
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Analysis of covariance ( ANCOVA)   show
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