sorry i made this before she sent the study guide out-- my flashcards for units 1 and 2 are on my profile and i'm making some for 3,4,and 5 right now
Defined as the scientific study of mind and behaviour.
1879
First textbook/lab established– but extends much further back than that re: human experience (intersection between philosophers, naturalists, etc.).
Mind
All subjective experiences. Sensations, perceptions, memories, thoughts, motives, emotions. Also includes cognitive structures and processes shaping experience and behaviour outside of awareness
Behaviour
observable actions of people or non-human animals
Folk psychology
Everyday, common sense understanding of the mental states and behaviours of others and ourselves. Comes from experience and intuition.
Confirmation bias
The tendency to seek out, pay attention to, and believe evidence that supports what we are already confident we know
Evolutionary perspective
Identifies aspects of behaviour that are the result of evolutionary adaptations
Cognitive perspective
Studies the mental process that underlies perception, thought, learning, memory, language, and creativity
Cultural perspective
Investigates how cultural context affects people’s thoughts and preferences
Emotional perspective
Examines how the human capacity to feel, express, and perceive emotions plays an important role in decision making, behaviour, and social relationships
Biological-neuroscience perspective
Studies the biological underpinnings of how we think, act, and behave
Personality perspective
Seeks to understand aspects of behaviour that are relatively stable over time and situation
Developmental perspective
Examines how people change physically, cognitively, socially, and emotionally as they age
Clinical perspective
Focuses on the causes and treatments of psychological disorders, with the goal of improving human wellbeing, daily functioning, and social relationships
WEIRD samples
Research participants from Western, Educated, Industrialized, Rich, and Democratic backgrounds
History of the scientific branch
Took root in universities amid intellectual adventures and scientific experimentation, originating with Wilhelm Wundt in 1870s Germany and William James in 1880s America. Equated psychology as experimental studies of perception, thought, and behaviour.
History of the clinical branch
Began with Freud in Austria and England at the turn of the 20th century. Equated psychology with psychotherapy, clinical practice, and psychiatry
Animal magnetism
Franz Mesmer’s pseudoscience that there is a property of the animal body which had magnetic fluid that can cure illnesses simply by realigning it
Pseudoscience
Makes claims that are supposedly based on science but do not have any evidence; not always ill-intended and can contain grains or truth or else citing valid research while interpreting it wrong
Empirical evidence
The best evidence— based on astute observation and accurate measurement
Homeopathy
The treatment of disease by small doses of natural substances that would produce symptoms of disease in a healthy person
Schema
Existing framework of knowledge
Three parts of the scientific method
Formulate hypothesis on the basis of data or prior observation, systematically collect evidence / data across many, evaluate hypothesis against data
Theory Data Cycle
Developing a theory about what people do and collecting data that is compared with the theory, either confirming or disconfirming it
Theory
An integrated set of related principles that explains and generates predictions about some phenomenon in the world— a set of propositions about what people do and why
Hypothesis
A testable prediction about what will happen under specific circumstances if the theory is correct
Data
A set of observations that are gathered to evaluate the hypothesis, usually in numerical form, collected from people at certain times or in certain situations
Replication study
Same study, new participants
Direct replication
Attempt to recreate the original experiment exactly
Conceptual replication
Tries to recapture original finding but with different methods or measurements
Open science movement
Initiative to make scientific research, data, and methods openly accessible and transparent with the goal of increasingly reproducibility of research
Meta-analysis
Combination of the results of multiple studies
Manipulated variable
A variable intentionally changed by the researcher
Measured variable
A variable whose values are simply recorded and can’t be manipulated
Operational definition
A specific description of how a variable will be measured or manipulated in a study / how the researcher specificies the process for determining the levels or values of each variable
Self report
People describe themselves and/or their behaviour, typically with fixed-response questionnaire with specific set of questions and possible responses determined by researchers
Social desirability bias
Tendency to answer questions in a manner that will be viewed favourably by others
Self-deceptive enhancement
Honestly held but unrealistic self-views
Retrospective report
Memories may be inaccurate or biassed by current experience
Open-ended self report
Participants give any answers that come to mind, helpful when studying an unknown phenomenon (helps generate more specific questions and examine broader themes that emerge)
Direct observation
Researcher observes and records occurrence or behaviour, taking place wherever
Reactivity
A change behaviour caused by the knowledge that one is being observed
Disadvantages of direct observation
More time and resource-intensive
Advantages of direct observation
More objective than self-report, observing real-world behaviour and not manipulating natural environment
Naturalistic observation
An observational research method in which psychologists measure their variable of interest by observing and recording what people are doing
Indirect measures
Designed to avoid reactivity and social desirability— useful for sensitive topics
Population of interest
The full set of cases the researcher is interested in
Sample
The group who participated in research and who belong to the larger group / POI that the researcher is interested in understanding
Random sample
Every person in the POI has equal chance of inclusion
Scatterplot
A figure used to represent a correlation
Scatterplot— line sloping upwards
Positive relationship
Scatterplot— line sloping downwards
Negative relationship
Scatterplot strong relationship
Dots clustered tightly together
Scatterplot weak relationship
Dots spread out
What is needed to establish causality
Two variables must be correlated.
One variable must precede the other.
There must be no reasonable alternative explanations for the pattern of correlation
Gold standard for establishing causality
Experiment
Independent variable
Manipulated variable in an experiment
Dependent variable
Measured variable in an experiment — depends on level of independent variable
Control group
A condition comparable to experimental condition in every way except it lacks on “ingredient” hypothesized to produce expected effect on dependent variable
Moderator variable
Effect of independent variable on dependent variable is conditional on value of the moderator— ex. maybe social. media is detrimental only for younger users. The independent variable does not cause the moderator (using social media does not make participants older or younger)
Mediator variable
Independent variable exerts its effect on dependent variable through some other variable— ex. social media use increases upward social comparisons, which leads to depression (upward social comparison is the mediator)
Internal validity
Can we rule out alternative explanations in an experiment? Threatened by the presence of confounds
Confounds
Alternative explanation for a relationship between two variables
Double blind procedure
Neither experimenters nor participants know who is in the experimental group or control group
Observer expectancy effect
Expectations of an observer/experimenter can influence the subject being observed
Demand characteristics
Subtle cues from the experimenter giving the participant a sense of what is expected of them— cue the participant in a way that confirms their bias
Differential attrition
Participants drop out from experimental and control groups at different rates
Construct validity
Specific assessment of how accurately the operationalizations used in a study capture the variables of interest
Temporal precedence
Cause must occur before effect
Descriptive statistics
Graphs or computations that describe the characteristics of a batch of scores, such as its distribution, central tendency, or variability
Frequency distribution
A bar graph in which the possible scores on a variable are listed on the x-axis from lowest to highest, and the total number of people who got each score is plotted on the y-axis
Central tendency
Centre of the batch of scores
Ways to describe central tendency
Mean, median, mode
Standard deviation
A variability statistic that calculates how much a batch of scores varies around its mean
Variability
The extent to which the scores in a batch differ from each other
Statistic
Numerical value derived from dataset that can help us describe the dataset or evaluate research hypothesis
Descriptive statistics
Summarize sets of data
Effect size
Numerical estimate of the strength of the relationship between two variables— can take the form of a correlation coefficient or, for an experiment, the difference between two group means divided by the standard deviations of the group
Measures of effect size
Values describing the strength of an association or magnitude of the effect (r coefficient)
Inferential statistics
Help us assess whether there is sufficient evidence to support a claim or hypothesis
In statistical significane testing…
we compare our results against the null hypothesis
P-values
Tell us the probability of getting a result as extreme as the one we observed if there really was no difference between the two groups (or no relationship between the two variables); how likely the obtained results are under the null hypothesis. It takes on values between 0 and 1. By convention, we use a threshold of .05 for the p-value to determine if something is statistically significant
P-value < .05
Reject the null hypothesis
P-value > .05
Do not reject the null hypothesis
Factors affecting size of p-values
Size of observed effect, larger effects more likely to be statistically significant; number of participants in study
Institutional Review Board
A panel tasked with evaluating whether research study meets ethical standards of autonomy, beneficence, and justice
P-hacking
A family of questionable data analysis techniques, such as adding participants after the results are initially analyzed, looking for outliers, or trying new analyses in order to obtain a p value of under .05, which can lead to non replicable results
Preregistration
A researcher’s public statement of a study’s expected outcome before collecting any data
HARKing
Hypothesizing after the results are known
Genome
Complete set of genetic material— blueprint for making and maintaining an organism
DNA
Molecule that carries genetic information, organized and packed within thread like structures called chromosomes
Gene
Segment of DNA that codes for a particular protein, basic physical and functional units of heredity.
Allele
2 versions of each gene, one from each parent. Collectively, these 2 make up the genotype for that gene.
Homozygous allele
NN or nn
Heterozygous allele
Nn
Phenotype
Observable characteristics of an individual, produced by interaction of genotype and environment
Recessive alleles
Determine phenotype only when individual is homozygous for gene; dominant alleles determine phenotype regardless
Behavioural genetics
Establishing the degree of heritability for a given trait
Candidate gene studies
Compare individuals with the candidate gene with individuals without it on a given trait or disorder
Gene knockout
Move or deactivate gene