Between subjects design each subject receives only

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Between-subjects design: Each subject receives only one treatment combination. Issues of Experimental Validity: Internal Validity: Exists to the extent that an experimental variable is truly responsible for any variance in the dependent variable. Manipulation check: A validity test of an experimental manipulation to make sure that the manipulation does produce differences in the independent variable. History effect: Occurs when some change other than the experimental treatment occurs during the course of an experiment that affects the dependent variable. Maturation effects: Effects that are a function of time and the Downloaded by:: bryce0736 | [email protected] Distribution of this document is illegal
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Stuvia.com - The study-notes marketplace naturally occurring events that coincide with growth and experience. Testing effects: A nuisance effect occurring when the initial measurement or test alerts or primes subjects in a way that affects their response to the experimental treatments Instrumentation effect: A nuisance that occurs when a change in the wording of questions, a change in interviewers, or a change in other procedures causes a change in the dependent variable. Selection effect: Sample bias from differential selection of respondents for experimental groups. Mortality effect (sample attrition): Occurs when some subjects withdraw from the experiment before it is completed. External Validity: Is the accuracy with which experimental results can be generalized beyond the experimental subjects. Student Subjects: Using students as experimental subjects STEP 2: Measurement – Ch 14: Attitudes of Hypothetical Constructs: Hypothetical constructs : Variables that are not directly observable but are measurable through indirect indicators, such as verbal expression or overt behavior. Construct Development: Process to identify which specific data should be collected to solve the problem. Requires knowledge and understanding of constructs, their dimensions, validity and operationalization. Construct objective and subjective properties must be measurable on an empirical level. Importance of measuring attitudes: Most managers hold the intuitive belief that changing consumers’ or employees’ attitudes toward their company or their company’s products or services is a major goal. Types of Data Collected: Verifiable facts – State-of-being data Mental thoughts and emotional feelings – State-of-mind data Past and current behaviors – State-of-behavior data Planned future behavior – State-of-intention data Downloaded by:: bryce0736 | [email protected] Distribution of this document is illegal
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Stuvia.com - The study-notes marketplace Definitions: Scale Measurement: Process of assigning descriptors to represent the range of possible responses Scale Points: Degrees of intensity assigned to the responses in a given questioning or observational method Techniques of Measuring Attitudes: Ranking: A measurement task that requires respondents to rank
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