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Empirical methods
Approaches to inquiry that are tied to actual measurement and observation.
Ethics
Guidelines that offer researchers a template for making decisions that protect research participants from potential harm and that steer scientists away from conflicts of interest or other compromising situations.
Hypotheses
Logical ideas that can be tested.
Systematic observation
The careful observation of the natural world with the aim of better understanding it.
Theories
Groups of closely related phenomena or observations.
Anecdotal evidence
A piece of evidence, usually drawn from personal experience, used to support a conclusion that may or may not be correct.
Causality
In research, the determination that one variable causes an effect.
Correlation
In statistics, the measure of relatedness of two or more variables.
Data
In research, information systematically collected for analysis and interpretation.
Deductive reasoning
A form of reasoning in which a given premise determines the interpretation of specific observations.
Distribution
In statistics, the relative frequency that a particular value occurs for each possible value of a given variable.
Empirical
Concerned with observation and/or the ability to verify a claim.
Fact
Objective information about the world.
Falsify
In science, the ability of a claim to be tested and – possibly – refuted, a defining feature of science.
Generalize
In research, the degree to which one can extend conclusions drawn from the findings of a study to other groups or situations not included in the study.
Hypothesis
A tentative explanation that is subject to testing.
Induction
To draw general conclusions from specific observations.
Inductive reasoning
A form of reasoning in which a general conclusion is inferred from a set of observations.
Levels of analysis
In science, there are complementary understandings and explanations of phenomena.
Null-hypothesis significance testing (NHST)
In statistics, a test created to determine the chances that an alternative hypothesis would produce a result as extreme as the one observed if the null hypothesis was true.
Objective
Being free of personal bias.
Population
In research, all the people belonging to a particular group.
Probability
A measure of the degree of certainty of the occurrence of an event.
Probability values
In statistics, the established threshold for determining whether a given value occurs by chance.
Pseudoscience
Beliefs or practices that are presented as being scientific, but which are not.
Representative
In research, the degree to which a sample is a typical example of the population from which it is drawn.
Sample
In research, people selected from a population to serve as an example of that population.
Scientific theory
An explanation for observed phenomena that is empirically well-supported, consistent, and fruitful (predictive).
Type I error
In statistics, the error of rejecting the null hypothesis when it’s true.
Type II error
In statistics, the error of failing to reject the null hypothesis when it’s false.
Behaviourism
The study of behavior.
Cognitive psychology
The study of mental processes.
Consciousness
Awareness of ourselves and our environment.
Empiricism
The belief that knowledge comes from experience.
Eugenics
The practice of selective breeding to promote desired traits.
Flashbulb memory
A highly detailed and vivid memory of an emotionally significant event.
Functionalism
A school of American psychology that focused on the utility of consciousness.
Gestalt psychology
An attempt to study the unity of experience.
Introspection
A method of focusing on internal processes.
Neural impulse
An electro-chemical signal that enables neurons to communicate.
Practitioner-Scholar Model
A model of training of professional psychologists that emphasizes clinical practice.
Psychophysics
Study of the relationships between physical stimuli and the perception of those stimuli.
Realism
A point of view that emphasizes the importance of the sense in providing knowledge of the external world.
Scientists-Practitioner Model
A model of training of professional psychologists that emphasizes the development of both research and clinical skills.
Structuralism
A school of American psychology that sought to describe the elements of conscious experience.
Tip-of-the-tongue phenomenon
The inability to pull a word from memory even though there is the sensation that that word is available.
Loneliness
Due to separation from family/friends.
Financial stress
Expenses may lead to debt.
Class format
Large classes that are less impersonal and less structured (more distraction).
Freedom
More independence in university (so more responsibility).
Social opportunities
Pressure from the choices of engaging in certain recreational activities and how to balance work life with social life.
Personal and emotional problems
Key point in life for development.
Scheduling your time
A strategy for success in post-secondary education.
Keeping focused and studying effectively
A strategy for success in post-secondary education.
Be prepared for potentially upsetting content by looking through the syllabus
A strategy for success in post-secondary education.
Considering coping strategies and mental hygiene
A strategy for success in post-secondary education.
Self-care
A strategy for success in post-secondary education.
Techniques such as deep breathing, progressive muscle relaxation, visualization (“happy place”), grounding (detach from overwhelming emotion through distraction)
A strategy for success in post-secondary education.
Science
The use of systematic observation to acquire knowledge.
Francis Galton
Studied ability to distinguish between colors and invented self-report questionnaire.
Psychological science
Helps with therapy studies and improves the world.
Informed consent
People have free choice to participate.
Confidentiality
Information should not be made public without permission.
Privacy
Observations should not be made in private places without permission.
Benefits
Researchers should weigh the benefits against the potential risks.
Deception
Researchers must debrief after the study to educate participants.
Scientific vs Everyday Reasoning
Induction is used in both scientific and everyday reasoning.
Interpretation of Research Results
Inductive reasoning is based on probabilities and science is better at addressing probabilities rather than proving something.
Correlation
in statistics, the measure of relatedness of two or more variables
Null-hypothesis significance testing (NHST)
tests the probability that the observations would be the same if there were no relationship between the variables in the study
Type I error
data shows a relationship that doesn't exist
Type II error
data fails to show a relationship that exists
Scientific theory
an explanation for an observed phenomena that is empirically well-supported, consistent and fruitful/predictive as well as potentially falsified
Levels of analysis
a given phenomenon can be explained at different levels simultaneously - allow a variety of perspectives
Empiricism
claims that all knowledge comes from experience
Psychophysics
allows for the measuring of the relationship between physical stimuli and human perception
Structuralism
sought to describe elements of conscious experience (about the contents of the mind)
Functionalism
focused on utility of consciousness (about the activities of the mind)
Gestalt psychology
studies the unity of experience
Behaviourism
the study of behaviour
Cognitive psychology
includes flashbulb memory and the tip-of-the-tongue phenomenon
Applied psychology
the application of psychological principles and theories to real-world problems
Scientist-practitioner model
training model of professional psychologists that emphasizes the development of both research and clinical skills
practitioner scholar model
training model of professional psychologists that emphasizes clinical practice
Cause-and-effect
related to whether we say one variable is causing changes in the other variable, vs. other variables that may be related to these two variables
Confidence interval
an interval of plausible values for a population parameter; the interval of values within the margin of error of a statistic
Distribution
the pattern of variation in the data
Generalizability
related to whether the results from the sample can be generalized to a larger population
Margin of error
the expected amount of random variation in a statistic; often defined for 95% confidence level
Parameter
a numerical result summarizing a population (e.g., mean, proportion)
Population
a larger collection of individuals that we would like to generalize our results to
P-value
set a threshold for errors and what data is significant
Random assignment
using a probability-based method to divide a sample into treatment groups
Random sampling
using a probability-based method to select a subset of individuals for the sample from the population
Reliability
the consistency of a measure
Sample
the collection of individuals on which we collect data
Statistical significance
a result is statistically significant if it is unlikely to arise by chance alone
Validity
the degree to which a measure is assessing what it is intended to measure
Confound
factors that undermine the ability to draw causal inferences from an experiment
Correlation
measures the association between two variables, or how they go together