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Random Sampling
allows for a sample size that represents more of the population
Sampling Bias
when the sampling in the study does not represent the larger population accurately, which can lead to misleading conclusions.
Convenience Sample
when participants are selected based on their easy accessibility to the researcher, rather than being chosen randomly. Method is convenient, but can introduce biases, as it may not represent a broad population.
Case Study
Research method where there is an in-depth analysis of a single individual, or small group of individuals, typically focusing on a rare or unique case.
Naturalistic Observation
Research method where the researcher observes and records behavior in a natural setting without interfering with or manipulating the situation.
Correlational Research
Research method which examines the relationship between variables showing how changes in one factor predicts changes in another. All of this is done without any manipulation of the variables.
Meta Analysis
Research method that looks at data from a number of independent studies of the same subject, in order to determine overall trends.
Expierment
Research method in which an experimenter can determine cause and effect through the manipulation of the independent variable.
Correlational studies
relationship between two or more variables, measure without manipulating them to see if they affect one another.
Correlational Coefficient (r-value)
stronger = 1/-1, weaker =0
correlation does not imply causation
only experiments can prove cause and effect
Directionality Problem
Occurs when it is unclear which variable causes the other.
Cross sectional study
sample collected from a population at one given time.
Longitudinal study
Sample collected from the same population over a prolonged period of time.
Hypothesis
A prediction, should be falsifiable
Falsifiability
Something that can be tested and potentially proven false.
Independent Variable
The variable which is manipulated by the researcher
Dependent Variable
Whats being measured in an experiment
Reliability
ability to be replicated
Validity
Did the researcher measure what they wanted to?
Confounding Variable
Unaccounted for factor whose presence effects the variables being studied so that the results yo get do not reflect the actual relationship in the study.
Control Group
Group given a control, or a “placebo“
Experimental Group
Group given the “treatment“
Placebo
Whats given to the control group to see if the the treatment works on the experimental group
Placebo Effect
When the participants behavior improves due to them thinking their placebo worked.
Random Assignment
Allows a researcher to control for possible confounding variables.
Allows for comparison
Random Sampling
Allows for Generalization
Peer Review
The process of submitting a researchers findings for evaluations by experts in the same field.
Survey
Technique used for obtaining the self-reported attitudes or behaviors of a particular group. (Likert scale)
Quantitative
Numerical
Qualitative
words
Regression toward the mean
In any situation where chance plays a role, extreme outcomes are likely to be followed by results that are closer to the mean.
-occurs when more data is collected (think coin lab)
Descriptive Statistics
To summarize or describe the main features of a data set
Inferential Statistics
Before you can infer/generalize your data to the larger population, you need to be sure that your findings are not just accidental, and did not occur by luck.
Statistical Significance
The results of a study did not likely occur by chance.
The closer the P value is to 0, the more statistically significant the data is
Effect Size
Magnitude of the difference between groups.
Larger effect size = more practical significance
Cohens D
Small effect size: D=0.2
Medium effect size: D=0.5
Large effect size: D=0.8
-The less the curves overlap, the greater the effect size
Ethical Guidelines
-Informed consent / informed assent
-Protect participants from harm
-confidentiality
-Deception is okay as long as a debrief occurs
Confirmation Bias
The tendency for a person to look for information that supports their beliefs, while ignoring the evidence that does not.
Hindsight Bias
The tendency to believe after learning an outcome, that one would have foreseen it.
Overconfidence
The tendency to overestimate how accurateyou are.
Histogram
a graph where the bars touch