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Methodology
system of principles, methods, and techniques used to conduct research
Experimental Methodology
systematic approach designed to be carried out under controlled conditions
tests hypotheses
establishes cause-and-effect relationships
Non-Experimental Methodology
describes behavior
cannot establish cause-and-effect relationship between variables
Control Group
participants/subjects wo receive no treatment or placebo
Experimental Group
participants/subjects who receive treatment or independent variable
Scientific Method
self-evaluating process used to evaluate ideas with observation and analysis
Case Study
non-experimental research method
in-depth analysis on a person, group, or event
gathers a lot of information
can be generalized
Placebo
given to the control group
has similar aspects of the independent variable/treatment but misses key component
no actual effect, but can be therapeutic (placebo effect)
Correlational Study
a non-experimental research method
studies relationship between two or more variables
does not explain the causation of the relationship
Single-Blind
participants don’t know whether they are in the control group or experimental group
decreases chances of social desirability bias
Double-Blind
neither experimenters nor subjects know whose in the control or experimental group
decreases chances of social desirability bias and experimenter bias
Naturalistic Observation
non-experimental research method
observes natural/authentic behavior of subjects
researcher do not interfere
no manipulated variables
Meta-Analysis
non-experimental research method
uses data from pervious studies to define patterns/trends
helps scientists look at an issue in a “bigger picture”
Hawthorne Effect
subject purposefully alters their behavior when aware of being observed
Hypothesis
a prediction on the relationship between variables
measurable and testable
falsifiable
Convience Sampling
selecting people for a sample based on availability/accessibility
may not represent a larger population
Falsifiable
able to be proven wrong
Random Sampling
sample fairly represents a population because each member has an equal chance of participating in a study
Empirical Evidence
information based on observable factors or experiment
can support hypothesis
Population
all the individuals that a study applies to
Sample
a selected group of individuals in a population that are chosen to represent the population in a study
Independent Variable
controlled by experimenter
stands alone/not influenced
“the cause”
Dependent Variable
the behavior/mental processes being measured
may change based on the other variables
“the effect”
Self-Report Bias
subject/participant reports inaccurate information
Confounding Variable
an extent factor that influences the dependent variable
not controlled by scientist
Social Desirability Bias
a participant changes their behavior to seem more impressionable
Third Variable Problem
an uncontrolled/additional variable impacts the outcome of a study
Experimenter Bias
an experimenter unintentionally skews results due to their preferences, beliefs, or conceptions
Operational Definition
descriptive process of an experiment that explains how the researcher manipulated the variables
allows other scientists to replicate the experiment
Qualitative Data
non-numerical data
descriptive insight on a subject’s thoughts, feelings, and attitude
Quantitative Data
numerical data
statistically analyzed to identify different relationships, patterns, and differences
Generalization
the extent of how much of a population can be applied to a data set/ study outcome
Likert Scale
quantifies data
measures participant’s thoughts on a set scale
3 Key Principles of Ethics
Respect for Persons: participants must give informed consent
Beneficence: researchers should not negatively impact a participant’s well being
Justice: participants are not being exploited