1.
Design: A research design where the same participants are exposed to all conditions of an experiment, allowing for direct comparison of responses within each individual.
2.
Square: A counterbalancing technique used to control order effects in within-subjects designs, where each condition appears in each position once, ensuring each treatment appears in every order.
3.
Effects: Occurs when the perception of one condition is influenced by the previous condition, often leading to biased or altered responses.
4.
Effects: Changes in participants' performance due to repeated exposure to the task, leading to improvement or learning over time.
5.
Bias: A type of bias that occurs when the researcher’s expectations or beliefs influence the outcome of the study or the participants' responses.
6.
Potential flaws or challenges in experimental design that can lead to invalid or unreliable results.
7.
Effects: Decline in participants' performance due to tiredness or boredom from participating in lengthy or repetitive tasks.
8.
Randomization: A technique for randomizing conditions in an experiment where participants are grouped into blocks, and within each block, conditions are randomly assigned to minimize order effects.
9.
Designs: An experimental design that combines both within-subjects and between-subjects approaches, allowing researchers to examine different types of variables.
10.
Design: The plan or structure of an experiment, outlining how variables will be manipulated and controlled to test hypotheses.
