Unit 1 - History/Perspectives and Research Methods

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Last updated 12:30 AM on 8/24/26
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88 Terms

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Gestalt Psychology

"the whole is different from the sum of its parts"

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Structuralism (goal)

The first formal school of thought in psychology, aimed at analyzing the basic elements, or structure, of conscious mental experience.

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Wilhelm Wundt

"the father of psychology"

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Introspection

examining of one's own thoughts and feelings; Thinking about the way you think

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Psychology

the scientific study of behavior and mental processes

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Functionalism

focuses on the PURPOSE or FUNCTION of our behavior rather than the individual structures

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Psychodynamic Perspective (goal)

focuses on the subconscious's effect on our behavior

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Subconscious

The part of the mind that we are not consciously aware of

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Psychoanalysis

A category of therapies designed at analyzing the subconscious (like ink blots or free association)

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Behavioral Perspective

Focuses on how conditioning, or learning associations, affects our behavior

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Conditioning

learning associations between our behavior and consequences (rewards and punishments) or between two stimuli (thunder and lightning)

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Humanistic Perspective

focuses on positive aspects of psychology like reaching our full potential and becoming our best version of ourselves

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Cognitive Perspective

focuses on mental process and how they affect behavior such as problem solving, critical thinking, intelligence, memory, etc... (it's a lot of stuff)

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Biological Perspective

focuses on how our behavior is affected by our physical brains and body chemistry (hormones, neurons, neurotransmitters, etc...)

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Sociocultural Perspective

focuses on how the norms and expectations of our culture can impact our behavior and mind

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Positive Psychology

the scientific study of human functioning, with the goals of discovering and promoting strengths and virtues that help individuals and communities to thrive

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Biopsychosocial Perspective

focuses on a combination of physical elements, cognitive elements, and social elements and how they affect our behavior

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Applied Research

Studies done for a specific purpose or for solving a problem

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Basic Research

Studies conducted for knowledge's sake, without a specific purpose or problem to solve

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Case Study

A detailed study of a single person or event (like Phineas Gage)

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Case Study (advantages)

Lots of detail and they're good for unique situations

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Case Study (disadvantages)

The results can't be applied to everyone, they often rely on eyewitness testimonies or memories of people (which are often incorrect), and they can't be replicated or reproduced

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Correlations

Shows relationships between two different variables

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Positive Correlation

as one variable increases, so does the other (like studying and grades)

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Negative Correlation

as one variable increases, the other decreases (like absences and grades)

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Zero Correlation

no relationship between variables (like shoe size and grades)

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Correlation Scatterplots

Shots relationships between variables on a graph

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Positive Correlation (Scatterplot)

The variables increase together or decrease together

<p>The variables increase together or decrease together</p>
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Negative Correlation (Scatterplot)

as one variable increases, the other decreases

<p>as one variable increases, the other decreases</p>
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Correlation Coefficient (r)

A numerical range showing the strength of the relationship between two variables (+1.00 to -1.00)

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Illusory Correlation

thinking there is a relationship between two variables when there isn't one ('this always happens to me' when it likely doesn't).

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Correlations (disadvantages)

Does NOT show causation

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Surveys

Questionnaires and interviews that ask people directly about their experiences, attitudes, or opinions.

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Likert Scale

A way to answer a survey that offers choices like 'strongly agree', 'agree', 'strongly disagree', etc... in response to statements

<p>A way to answer a survey that offers choices like 'strongly agree', 'agree', 'strongly disagree', etc... in response to statements</p>
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Representative Sample

a sample that accurately reflects the characteristics of the population as a whole

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Sampling Bias

A problem that occurs when a sample is not representative of the population from which it is drawn.

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Random Sampling

Choosing participants randomly from the population to take part in a survey or experiment

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Random Selection

Choosing members of a sample to be in the experimental or control group of an experiment

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Survey (advantages)

Easy to get lots of info

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Survey (disadvantages)

People lie, it's difficult to get a representative sample, surveyors have agendas and have biased questions, people read into the questions too much

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Social Desirability Bias

the tendency for people to say what they believe is appropriate or acceptable, rather than what may actually be true

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Self-Report Bias

When people don't accurately report their own behaviors or traits

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Naturalistic Observation

observing and recording behavior in naturally occurring situations without trying to manipulate and control the situation

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Laboratory Observation

watching animals or humans behave in a laboratory setting

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Observations (advantages)

We see actual behavior instead of relying on memories and perceptions of individuals

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Observations (disadvantages)

observers can have biases or get tired and miss things; participants act differently when being observed

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Hawthorne Effect

A change in a subject's behavior caused simply by the awareness of being studied

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Observer Bias

tendency of observers to see what they expect to see

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Experiment

Research method aimed at determining cause and effect relationships

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Independent Variable

variable that is manipulated; difference between the control and experimental group

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Dependent variable

the variable that is being measured in an experiment

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extraneous variables

any variables other than the independent variable that seem likely to influence the dependent variable in a specific study

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Experimental Group

The group that receives the Independent Variable

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Sampling

The process of choosing who is in an experiment

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Control Group

The group that does not receive the experimental method

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Random Assignment

randomly choosing who is in the experimental group and who is in the control group within an experiment

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Quasi-Experiment

An experiment in which random selection may not be practical, because people are already in groups (like women and men)

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Placebo

a fake treatment given to control groups to mimic the experimental group's variable or to provide for a single-blind study

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Single-Blind Study

study in which the subjects do not know if they are in the experimental or the control group

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Double-Blind Study

An experiment in which neither the participant nor the researcher knows whether the participant has received the treatment or the placebo

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Peer Review

When a colleague professionally reviews the work of another and critiques it

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Institutional Review Board (IRB)

A committee at each institution where research is conducted to review every experiment for ethics and methodology.

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Informed Consent

an ethical principle that research participants be told enough to enable them to choose whether they wish to participate

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Confidentiality

Respecting the privacy of both parties and keeping details secret

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Debriefing

a verbal description of the true nature and purpose of a study

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Descriptive Statistics

statistics that summarize the raw data collected in a study like mean, median, mode, range, etc...

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Qualitative Data

Data that is observed rather than measured

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Quantitative Data

Data that is measurable with numbers

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Measures of Central Tendency

mean, median, mode

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Mean

the average number

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Median

the middle number when arranged smallest to largest

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Mode

the most common number

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Percentile Rank

Percentage of scores falling at or below a specific score. (Milo is in the 80th percentile in height, meaning he's taller than 80% of kids his age)

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Measures of Variability

Data that shows us how spread out data is, like range and standard deviation

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Range

the difference between the highest and lowest scores in a distribution

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Standard Deviation

tells us how close the scores are to the average

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High Standard Deviation

the numbers are very spread out and aren't really close to the average (like a test with an average of 70%, but the scores aren't close to 70%)

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Low Standard Deviation

the numbers are close to the average (like if the average was 70% and most everyone scored really close to 70%)

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skewed distribution

when the average is skewed due to some really high or low scores; creates an asymmetrical bell curve

<p>when the average is skewed due to some really high or low scores; creates an asymmetrical bell curve</p>
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normal distribution

a symmetrical distribution in which the bell curve peaks in the middle at the mean, median, and mode

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bimodal distribution

a frequency distribution having two different values that are heavily populated with cases

<p>a frequency distribution having two different values that are heavily populated with cases</p>
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Inferential Statistics

Statistical Significance

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P-Value

Tells us if results are statistically significant (did the Independent variable cause the results, or did we just get lucky); should be less than .05

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Meta-Analysis

Analyzing the results from several different studies together

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Statistical Significance

how likely it is that an obtained result occurred by chance (were the results because of the independent variable, or did you just get lucky?)

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Normal Distribution Percentages

68% 95% 99.7%

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Z-Score

How many standard deviations away from the mean

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Regression to the Mean

If a first trial has extreme scores, the next time it will likely get closer to the average