Unit 1B: Resesrch Terms Flashcards
Hindsight bias
The tendency to believe, after learning an outcome, that one would have foreseen it(I-knew-it-all-along phenomenon). Hindsight bias and overconfidence(overestimates our intuition) can cause us to believe that incorrect things are correct
Applied Vs. Basic research
Basic research consists of pure science that aims to increase the scientific knowledge base while applied research consists of scientific study that aims to solve practical problems. Overconfidence: tendency to think we know more than we actually do.
Scientific attitude
Being skeptical but not cynical, open but not gullible. One must have curiosity which allows us to explore and understand the world. Skepticism allows us to to scrutinize claims. Humility: may have to reject your own thoughts put together with scientific principles- making sense from nonsense.
Critical thinking
Thinking that does not blindly accept arguments and conclusions. Rather, it examines assumptions, discerns hidden values, evaluates evidence, and assesses conclusions.
Validity
If a test is performed enough times and supports the results it was hoping to support, it is valid. Good research consists of validity and reliability. Does it measure what the researcher was supposed to measure?
Reliability
If a test is performed many times and the results are the same each time, it is reliable. Must contain repeated results and the research must be replicable.
Scientific method
A self-correcting process for asking questions and observing natures answer. A process to find and observe phenomena.
Theory
Aims to explain some sort of phenomenon. Organizes a wide array of observations: encourages a testable hypothesis.
Hypothesis
A testable prediction, often implied by a theory. Gives direction to research and specifies in advance what results will support the theory.
Null hypothesis
The opposite of what the researcher expects it to be. The hypothesis the researcher tries to disprove.
Operational definitions
A statement of the procedures(operations) uses to define research variables. This is important for replication.
Replication
Repeating the essence of a research study, usually with different participants in different situations, to see whether the basic findings extend to other participants and circumstances.
Case study
When psychologists study one individual in great depth in the hope of revealing a universal truth.
Survey
Study’s many individuals but in less depth.
False consensus effect
The tendency to overestimate the extent to which others share our beliefs and behaviors.
Naturalistic observations
Observing and recording behavior in naturally occurring situations without trying to manipulate and control the situation. If a subject notices, they’ll act differently (no controls). Must be in a subjects natural environment. It does not explain behavior, it describes behavior.
Field experiment
Experiments that are done in the everyday environment of the participants. The experimenter still manipulates the independent variable, but in a real life setting. This type of experiment has more controls and possible interference.
Subjects
A person who is the focus of scientific or medical attention or experiment. Must come from a population.
Sample
A target group for an experiment; comes from a population.
Population
All the cases in a group, from which samples may be drawn for a study.
Random sampling
A sample that fairly represents a population because each member has an equal chance of inclusion. It is a proper representation of the population (large samples). The results are more accurate.
Stratified sampling
A sampling method used when population is composed of several subgroups that may differ in the behavior correlation studies. It ensures that the sample represents the population in a particular area.
Correlation coefficient
A statistical measure of the extent to which two factors vary together, and thus of how well either factor predicts the other.
Positive correlation
A relationship between two variables in which both variables move in tandem. A positive correlation exists when one variable decreases, the other variable also decreases and vice versa.
Negative correlation
A relationship in which one variable increases as the other decreases and vice versa. They have an inverse relationship. It predicts the absence of the other.
Scatterplots
A graphed cluster of dots, each of which represents the values of two variables. The slope of the points suggests the direction of the relationship between the two variables. The amount of scatter suggests the strength of the correlation.