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Humanist Perspective
We must choose most of our behaviors and these choices are guided by physiological, emotional, or spiritual needs.
Psychodynamic Perspective
The unconsious mind controls much of our thoughts and actions.
Biopsychology/Neuroscience Perspective
Explains human thought and behavior in terms of biological processes.
Evolutionary/Darwanian Perspective
Examines human thoughts and actions in terms of natural selection.
Behavioral Perspective
Explains human thoughts and behaviors on conditioning (responses to stimuli).
Cognitive Perspective
Examine human thoughts and behaviors of how we interpret, process, and remember environmental events (Viewing the world is important to understanding behaviors).
Social-cultural/Sociocultural Perspective
How our thoughts and behaviors vary among cultures and its influence.
Biopsychosocial Perspective
Human thinking and behavior results from a combination of biological, psychological, and social factors.
Hindsight bias
To think you knew it all along after it occured
Confirmation bias
Paying more attention to information that supports our pre-existing ideas
Overconfidence
Overconfident in our beliefs
Quantitative research
Uses numerical measures
Qualitative reseach
Uses complex textual responses for key ideas
Hypothesis
Expresses the relationship between 2 variables
Dependent variable
What is being measured and depends on the independent variable
Independent variable
What’s changed and manipulated
Theory
Aims to explain some phenomenon and allows researchers to generate testable hypothesis in hopes of collecting data for supporting the theory
Operational definition
Explains how you will measure it
Replicated
When research is conducted the same way and produces similar results
Sample
A group of participants
Population
Anyone or anything that can be selected in the sample
Random Sampling
Every member has an equal chance of being selected
Convenience sampling
Collecting data from a group that is easily acessible
Stratified sampling
Process that allows a researcher to ensure that the samples represent the population on some criteria
Laboratory experiments
Conducted in a lab which is highly controlled
Field Experiments
Conducted out in the world and are more realistic
Confounding variable
Factor other than the ones being studied that can influence the study’s results
Random Assignment
Each participant has an equal chance of being placed in either groups
Experimenter bias
Unconscious tendancy for researchers to treat members of different groups differently to increase the chance of confirming their hypothesis
Single-blind study
When only the participants dont know to which group they have been assigned
Double-blind study
Neither the participants nor the researchers know which group the participants are assigned to
Social desirability bias
Tendancy to try to give answers that reflect well upon oneself, pleasing answers that might not be accurate
Experimental group
Recieves the treatment operationalized in independent variable
Control group
Recieves no treatment, none of the independent variable
Placebo effect
Psychological effects of people who think they took a drug
Placebo method
When a pill or drug has to be ingested the researchers may give one group a fake drug to compare effects with the treatment group.
Positive correlation
The prescene of one thing determines the prescence of another
Negative correlation
The presence of one thing determines the absence of another.
Ex post facto (quasi-experimental study)
Seeking to control all other aspects of the research process
Likert scales
Pose a statement and ask people to express their level of agreement or disagreement
Directionality problem/Temporal precedence
Inability to determine which of the variables came first
Third Variable
A lesser cause to a situation
Naturalistic Observation
Observing participants in their natural environments without interacting with them at all
Stuctured interview
Type of interview where an interviewer asks standardized sets of questions in a set order
Case study
Used to get a full detailed picture of one participant or a small group/ examined to hopefully uncover universal principles
Falsifiable
Possibility of a hypothesis, theory, or idea being able to be disproven by an experiment
Measures of central tendancy
Attempt to mark the center of a distribution which includes mean median and mode
Mean
Average of all the scores in a distribution
Median
Central score in a distribution which is the middle number
Mode
The score that appears most frequently
Bimodal
If 2 scores appear equally frequently and more frequently than any other score
Positively Skewed
More low scores than high scores and it looks taller on the left size
Negatively Skewed
More high scores than low scores, making the distribution taller on the right side.
Symmetrical
The mean equals the median
Range
Distance between the highest and lowest scores in the distribution
Standard Deviation (SD)
A measure of how much scores vary around the mean score (Square root of the variance.)
Variance
A measure of how far a set of numbers is spread out from their average value. (computed by finding the difference between each value and the mean, squaring the difference between each value and the mean and then averaging those squared differences).
Normal Curve
Theoretical bell-shaped curve for which the area under the curve lying between any 2 z-scores has been predetermined
Percentiles
Indicate the distances of a score from 0
Correlation
Measures the relationship between 2 variables
Correlation coefficient
Range from -1 to +1 and they help us figure out how closely two things vary together and how one predicts the other
Scatterplot
A graph that represents the relationship between 2 variables, shows the pattern of data points as dots, the slope is the line that fits most the points
Inferential Statistics
Determines whether findings can be applied to a larger population, based on sample data
Statistically significant
Determines whether differences between groups are real or likely due to chance, determined by p values less than 0.05
Effect size
Measure that indicates the magnitude or strength of a relationship between 2 variables
Replication crisis
When replicating an experiment the results are not the same
Meta-analysis
Type of research that combines results from multiple studies to identify overall averages, trends, or effects
Peer review
When paper is read by experts in the field and the author is asked to make revisions in order to ensure high quality publications
No coercion
Participants should be voluntary
Informed consent
Participants must know that they are involved and give consent
Deception
Misleading or lying to participants about the purpose of a study
Confidentiality
Privacy must be protected
Risk/Protection from harm
Cannot be placed at significant or physical risk
Debriefing
After the study, participants shall be told the purpose of the study and any deception used