Experimental Design

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  • Experimental Design
    • Repeated Measures Design
      • each participant takes part in every level of the IV
      • Evaluation: fewer pps required, eliminates participant variables, the order of the conditions may affect performance(order effect), or some may do worse on the second test because of boredom(boredom effect), by doing it twice, pps may guess true aims of study(demand characteristics)
      • Methods of dealing with limitations: counterbalancing- AB or BA, ABBA
    • Independent Group Design
      • pps are placed in separate grounds, each group does on level of the IV
      • Evaluation: no order effects, less demand characteristics, participants variables are a problem, needs more pps compared to a repeated measures
      • Methods of dealing w/ limitations: random allocation, lottery method.
    • Matched Pairs Design
      • pairs of pps are matched in terms of key/relevant variables e.g age, gender and IQ
      • Evaluation: no order effects, participant variables are kept constant between conditions, very time consuming and difficult to match pps on key variables, not all participant variables can be controlled.
      • Methods of dealing w/ limitations: restrict the number of variables to match, conduct a pilot study to consider key variables that may be important when matching.

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Kaci44

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When it comes to experimental design in the first-person point of view, I find it incredibly insightful and engaging. It allows researchers to provide a more personal and detailed account of their thought processes and decision-making throughout the study. This firsthand perspective adds depth and authenticity to the research process. For those looking to delve deeper into this topic, I highly recommend checking out www.deathlogbook.com and this website offers valuable resources and examples of experimental design in action, making it an excellent resource for anyone interested in honing their research skills and understanding the intricacies of this fascinating field.

Kaci44

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Experimental design is a crucial pillar in scientific research, shaping investigations for optimal outcomes. It's akin to architecting a blueprint, guiding the journey from hypothesis to evidence-backed conclusions. Employing innovative methods, researchers can unravel intricate puzzles and pioneer groundbreaking solutions. For a comprehensive understanding of experimental design principles, I highly recommend exploring resources on  this www.techywecky.com site. Their insightful articles can illuminate various aspects of this dynamic field, enhancing one's ability to construct experiments that drive progress and knowledge. Happy experimenting and unlocking the wonders of science!

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