Research Design Flashcards
Independent Variables
The variable that is manipulated by the researcher
Dependent Variables
The variable that is measured by the researcher to determine if the independent variable has an effect
Extraneous Variables
Variables that are uncontrollable
Random Assignment
Providing independent variables randomly to the sample so that groups differentiate
Random Selection
Random selection of the population so that there is no grouping within the sample
Counterbalancing
a technique used to deal with order effects when using a repeated measures design. With counterbalancing, the participant sample is divided in half, with one half completing the two conditions in one order and the other half completing the conditions in the reverse order.
Mundane realism
The degree to which an experimental setting, procedure, or task resembles real-life situations, experiences, or bx.
Experimental Realism
Refers to the extent to which participants in an experiment become psychologically involved or engaged in the experimental task, procedure, or simulation
Threats to internal validity
Variables that can impact the study based on the sample, population, or independent variables
Threats to external validity
Variables that effect the scientific study outside the context of the study
Factorial Design
An experimental design manipulating multiple independent variables simultaneously to examine their effects
Demand Characteristics
Cues in an experiment revealing the researcher’s hypotheses or influencing participants’ behavior
Latin Square
design used in experimental research to control for potential confounding effects of order or sequence in a study with multiple treatment conditions.
A matrix design ensuring each treatment appears equally often in each position in an experiment
Solomon Four Square
Experimental research design used to assess the effects of a treatment or intervention while controlling for potential confounding factors such as a pretest sensitization and interaction effects
Type I errors
False positive: rejecting the null hypothesis when it is true (assuming there is a difference, but it is actually due to error )