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19 Cards in this Set
- Front
- Back
Factorial designs
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Multiple independent variables are “crossed”
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main effect stats
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the effect of an independent variable on a dependent variable averaging across the levels of any other independent variables. The term is frequently used in the context of factorial designs and regression models to distinguish main effects from interaction effects.
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interaction effect stats
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may arise when considering the relationship among three or more variables, and describes a situation in which the simultaneous influence of two variables on a third is not additive. Most commonly, interactions are considered in the context of regression analyses.
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Mixed method factorial design
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Some within-subjects variables
Some between-subjects variables Still 2x2 in the example Within subjects example: baseline level empathy and empathy level after training Between subjects example: Empathy training condition and other training condition |
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examples of why someone would not use randomized research
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parenting example (with kid), medical example (with depression...also age, gender, etc.
so cannot make causal conclusions but can lean in that direction if study is good enough |
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participant observation
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researcher becomes a participant
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content analysis
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qualitative data becomes quantitative, typically descriptive
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archival analysis
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qualitative data becomes quantitative, typically descriptive but could be relational
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secondary observation
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working with data that you had no part in collecting, could be any kind of study
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unobtrusive observation
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researcher has no direct contact with the participant, behavior/attitude/etc. is inferred from what is left behind
e.g.: BIRG, lost letter technique can be qualitative, quantitative, descriptive, relational not experimental because participants cannot be randomly assigned to conditions |
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field experiments
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performed outside of the lab
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lab experiments
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performed inside the lab
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case study
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one participant/case
typically descriptive can be relational if we measure variables within the person can never be a true experiment because of random assignment |
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research proposal
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a special type of research paper aimed at a particular audience, such as your research adviser or the institutional review board, and written with an eye toward both expected and alternative possible results
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iterative process
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collaborative writing should be this kind of process..characterized by alternating periods of solitary writing, peer editing and team based discussion and feedback sessions
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a good thesis statement
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is a concise summary of your team's idea and predictions, and it should leave very little to the imagination
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main Problems associated with group writing (2)
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1. particular individuals not following through on their commitments
2. Lack of cohesion in the "voice" of the paper |
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reversing outlining
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outlining after the draft has been written....so that illogical transitions, missing concepts and repetition of ideas are identified
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3 general guidelines to avoid bias in writing
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1. describe appropriate level of specificity
2. be sensitive to labels 3. acknowledge participation |