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What is the difference between causation and correlation in psychology? What are the four main parts of a study?
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What is the definition of psychology?
The scientific study of individual human behavior and cognitive processes
Why do psychologists study behavior and cognition?
1. Identify behaviors that are beneficial (like play) and encourage more of
them
2. Identify harmful behaviors (like health problems) and try to prevent them
What is a human/social science?
scientific and systematic study of individual and group behavior, mental processes, and how humans interact with their social and cultural environments
What is a scientific approach? (a.k.a., the scientific method)
The approaches focus on specific factors that might explain human behavior
1. The biological approach: focusing on biological factors, such as the brain / Chemical messengers (i.e. hormones and neurotransmitters), Genetics
Nature > Nurture
2. The cognitive approach: focusing on internal (mental) factors, such as thinking patterns, Cognitive deficits (e.g. poor attention). Both nature & nurture
3. The sociocultural approach: focusing on environmental (social and cultural) factors, such as: Parental influences, Childhood experiences (positive and negative), media. Nurture>Nature
Why is a scientific approach important when studying psychology?
human behavior and mental processes are complex, subjective, and easily misinterpreted by common sense or intuition
What is an independent variable? A dependent variable?
Independent Variable: the factor in a study that researchers manipulate (change / alter / vary) to see the effect it might have on behavior
Dependent Variable: the factor in a study that researchers measure in the study as a potential effect of the manipulation of the IV
What is the difference between an independent variable and a dependent variable?

Would you consider psychology more of a natural science, or a human/social science. Why?
Why Psychology Is a Social Science
Most institutions and organizations, like the National Science Foundation, group psychology with the social sciences because its main focus is human behavior and society. [1, 2]
Social Context: Psychologists study how people act in groups, how families shape growth, and how cultural norms affect daily choices.
Real-World Settings: Topics like relationships, workplace teamwork, and mental health counseling look at humans interacting in real social settings.
Shared Goals: It works closely alongside fields like sociology and anthropology to explain how people connect and cope. [1, 2, 3]
Why Psychology Is a Natural Science
At the same time, many parts of the field rely directly on the physical and biological world. [1]
Brain and Biology: Neuropsychology and cognitive psychology study physical brain structures, hormones, and genetic codes.
Physical Processes: Thoughts and emotions are driven by real electrochemical reactions and biological systems inside the body.
Scientific Testing: Like chemistry or physics, it uses strict experiments, measurable data, and falsifiable theories to test how the physical brain works
How does understanding relationships between variables assist in applying conclusions in psychology?
Understanding relationships between variables is the foundation of psychological research. It allows psychologists to take data gathered in a study and successfully apply it to real-world settings, clinical treatments, and behavioral interventions.
Without understanding these relationships, researchers cannot determine if a finding is a fluke, a direct cause, or simply a coincidence, rendering the conclusions useless for practical application.
What are some limitations in conducting experiments in controlled environments?
A significant limitation of conducting research in a highly controlled laboratory environment is its inherently low ecological validity, which restricts the generalizability of the findings. Because a laboratory setting is artificial, it eliminates complex environmental and emotional variables that naturally occur in real-world scenarios.
What is a control?
An experimental element kept constant or unaffected to isolate the factor being tested.
Purpose: Blocks confounding variables (outside noise) that could skew results.
Control Group: The baseline group of participants who do not receive the active treatment or experimental condition.
What is a causal relationship?
If the IV is the only factor that affects the DV, then we can conclude that the IV CAUSES the change in the DV
How can true (lab) experiments demonstrate causal relationships?
(A strong answer will use the terms IV, DV, EV, control,
cause)
1. Participants are randomly allocated to the different experimental conditions or groups
2. EVs are controlled for, IV is isolated as the only factor affecting the DV
3. In a controlled experiment
If the IV is the only factor that affects the DV, then we can conclude that the IV CAUSES the change in the DV
What are some behaviors that might be difficult to study in a laboratory?
Social Interactions: Distorted by demand characteristics and the Hawthorne effect because participants know they are being observed.
Long-Term Shifts: Cultural and developmental changes require years of tracking, which cannot be captured in short lab sessions.
Trauma & Emotion: Ethical guidelines (protection from harm) prevent researchers from inducing genuine panic, grief, or severe stress.
Sexual Behavior: Extreme social inhibition and anxiety in a lab environment lead to highly artificial data.
What is a correlation? What are positive and negative correlations?
A correlation indicates that as one variable changes, so does the other. However, no causation is implied
Positive correlation: the change for both variables happens in the same direction (both increase or both decrease) e.g.) children’s age and weight
Negative correlation: the change for both variables happens in opposite directions (as one increases, the other decreases) e.g.) A student’s absences from school and grades attained
What is the difference between causation and correlation in psychology?
Not all correlation are causation
All causation are correlation
What is one alternative explanation for a correlation found in a study?
Confounding variables are simply extraneous variables that actually affect the results
Example: when predicting a child’s reading ability from their shoe size, the confounding variable is AGE
What are the aims of psychological theories?
A theory is an attempt to explain WHY something exists or occurs
Psychological theories attempt to explain how and why people behave and think in particular ways
Example: Social Learning Theory attempts to explain all behavior (but most commonly used to explain aggression)
What are the aims of models?
A model is a demonstration or illustration of HOW something works
Psychological models demonstrate how processes relevant to behavior or cognition occur
Example: The multi-store model of memory explores how memory is stored according to its nature
Psychological effects
Psychological effect is a commonly observed, predictable pattern of behavior which is well-supported by research
Examples:
The Mozart Effect (spatial reasoning)
The Hawthorne Effect (modify own behavior due to being observed, rather than due to environmental manipulation)
The Anchor Effect (remember?)
The Stroop Effect (conscious vs unconscious mental effort)
What do psychological theories and studies have in common?
both aim to describe, explain, and predict human behavior and mental processes using systematic, evidence-based methods

Mental process(Cognition)
Internal thought processes
Can be deliberate and conscious, like memory
Can also be instinctive and unconscious, like perception
Behavior
Observable actions
Three reasons why psychologists study
behavior and mental processes
1. Cognition (i.e., thinking) is central to the human
experience (can you think of any action that does not
require thinking?)
2. Behaviors and cognition (thoughts) are inextricably
linked. We think before we act (most of the time)
3. How and what we think is equally important as how
we act and behave
Empirical evidence
Gathered using observation and experimentation
Objective
Gathered using a scientific approach
Anecdotal evidence
Gathered from personal experience or hearsay
Subjective
Gathered in an informal and haphazard manner
Treatment group
Receives some kind of treatment that is hypothesized to have an effect (manipulation of the IV)
Control group
Receives no treatment, or one that is designed not to have any effect (e.g. a placebo)
Causation
A cause-and-effect relationship where a change in one variable (the independent variable) directly causes a change in another variable (the dependent variable).
Correlation
- A correlation indicates that as one variable changes, so does the other
- However, no causation is implied
Extraneous variable
An extraneous variable (EV) is a factor that might affect the results (other than the IV, evidently)
Examples:
Differences in participants (e.g. age, gender, nationality, skills, education) (also known as participant variability)
Participants getting better (or worse) after each condition of an experiment (also known as order effects)
Participants finding out about the purpose of the study
Negative correlation
A negative correlation means the variables move in opposite directions. When one variable goes up, the other goes down
Positive correlation
A positive correlation means both variables move in the same direction. When one variable goes up, the other goes up too. When one goes down, the other goes down
Phenomenon
an observable, reliably established human behavior, mental process, or effect that has been demonstrated through systematic empirical research
Bidirectional ambiguity
when the direction of a relationship between variables is not clear
True experiment
1. Often take place in controlled environments
so researchers can control for any EVs
2. The researchers create the different
conditions (groups) in the experiment
3. Manipulation of IV affects measurement of
DV. In other words, the IV causes the change
in the DV
Bias
What are the inherent biases of a
researcher? How do we control for this?
Any limitation in objective thinking. Perceiving info through a cognitive filter
Causality
To what extent can we argue that a specific
variable may lead to a certain behavior?
We aim to establish cause-effect relationships between variables
humans are very complex, so causality is not easy to find
Change
How has our understanding of behavior changed over time?
To what extent do we have control over our behavior?
Is our behavior predetermined?
Unexpected biological modification in the body or planned modification through adaptation to evolving circumstances
Can also be understood as DEVELOPMENT
Measurement
How did the researchers measure the variables being studied?
What are the potential problems with the way the variable was
measured?
How might the research method affect the validity of the evidence?
Human behavior is tough to observe and objectively measure
Operationalization of variables allows for a reliable measurement and a valid representation of behaviors studied
Several different instruments to measure variables affecting behavior
Can also be understood as EVIDENCE
Perspective
Different approaches to provide a multi-layered understanding of complex humans
No single perspective explains behavior sufficiently on its own
Each is based on assumptions about behavior and beliefs about research
Responsibility
Relationship between researcher and participant is based on respect and with social responsibility in mind
With animals, justify their use and minimize harm
Ethical standards in research are central to maximize benefits and costs are minimized
Ethical considerations evolve
Experimental designs and controls
1. Independent samples
2. Repeated measures
3. Matched pairs
Independent samples:
participants are
randomly allocated into different groups
and they experience only one condition of
the experiment
Pros and cons of independent samples
Pros
Participant expectancy effect: when participants
suspect the results or aims and alter their behavior
- Order effects: when doing more than one task, the
order in
which they are presented may affect the result
(i.e., verb “hit” and
afterward ”smash” in Loftus &
Palmer)
cons
- Participant variability: differences in
participants that could influence results
(e.g. in a jumping test, having all
basketballers in the treatment group)
Repeated measures:
all participants
experience all conditions of the
experiment
Pros and cons of repeated measures
Pros
Limits participant variability and
does not require as many
participants to run the experiment
Cons
Potential order effects. Can be
controlled through counterbalancing
(randomizing the order in which the
treatment/placebo conditions are
presented)
- Higher chance for participant
expectancy effect
matched pairs
participants are matched on some
relevant criteria and then allocated to different
conditions
Pros and cons of matched pairs
Pros:
- Allows to control potential hidden biases
/ EVs (natural tendencies/age/gender) that
may skew results
- Limits participant variability
Cons:
- Harder to run/design: requires
more planning/participants
- May affect the value of
randomization, as selection bias
may happen
Internal validity
the extent to which the
evidence found actually supports a
cause-effect claim. That is, the extent to
which the change in the DV is due to the
manipulation of the IV
Extraneous variables example (4
Order effect
Research bias
Participant variability
Participant expectancy
Controls example (4)
Random allocation
Single-blind design
Double-blind design
Counterbalancing
Field experiment
Manipulation of an IV and measurement of the effect
of a DV in a naturalistic setting
The IV is often a social factor (e.g.
someone’s actions or characteristics)
- Researchers manipulate the IV and
see the effects on behavior by
comparing results across groups
- Social interactions happen in the
“real world” (not in highly controlled
scenarios) so we want to see how
Ecological validity
how well can findings of
research be generalized to real-world,
everyday settings
Quasi-Experiments
When there is the study of an IV on a DV to establish
causality, but one or more defining conditions of a true
experiment cannot be met:
1. Random allocation is not possible (irrelevant in repeated
measures)
2. Not all EVs can be controlled
3. IV cannot be generally manipulated
- Quasi-experiments are useful when true experiment
conditions cannot be met due to ethical or practical reasons
What is benefit of using quasi experiment in biological approach?
Ethical feasibility: Psychologists can safely investigate naturally occurring biological conditions (e.g., comparing individuals with hippocampal damage to healthy controls) without causing harm or altering a participant's biology.
High ecological validity: It allows the study of real-world biological phenomena in natural settings rather than artificial laboratory environments.
Tech integration: It provides a practical way to group participants before using neuroimaging tools (like MRI or fMRI) to map specific behaviors to distinct biological profiles.
Natural experiments
An experiment where the IV is
naturally occurring (the
researcher cannot manipulate it)
- Natural experiments are a type
of quasi-experiment (why?)
The IV is usually a naturally
occurring environmental factor
such as gender, age, common
practices, physical characteristics
external validity
The extent to which the findings of a study could be
applied to other people, settings, situations, and
timeframes
population validity
the extent to which
findings could be generalized to other groups
of people (with different characteristics)
Temporal Validity:
the extent to which findings
could apply to different time eras
Case study
An in-depth investigation of a person or a
small group
- Usually conducted over a long period of
time
- Uses a range of different methods
(quantitative and qualitative) to gather a lot
of data (psychological tests, interviews,
experiments, observations, questionnaires,
brain scans, etc.)
Case studies are valuable to explore highly
unique situations that would otherwise be
nearly impossible to study
- Due to ethical concerns, case studies are
hard to replicate (e.g. we cannot harm a
person’s brain to see the outcome / a rat
cannot tell us what is going on when it is
stimulated)