PSY1022 WEEK 7 DISC 3 Flashcards
POPULATION
Consists of all the people about whom the study is supposed to generalise.
SAMPLE
Subset of the population who actually participate in a study.
REPRESENTATIVE SAMPLE
A sample that is like the population.
Can then generalise from sample to population.
- probability sampling
- non probability sampling
PROBABILITY SAMPLING
A sampling technique in which each member of the population has a known probability of being selected to be part of the sample
RANDOM SELECTION
A method of generating a random sample in which each member of the population is equally likely to be chosen as part of the sample.
- table of random numbers, names out of a hat, by computer, etc.
But may not be representative.
STRATIFIED RANDOM SAMPLING
A sampling technique designed to ensure that subgroups or strata are fairly represented.
Broken into subgroups, THEN randomly selected for those groups. NOT proportional.
- eg proportion men vs women. Keep at same percentages as population.
- but still randomly selected
CLUSTER SAMPLING
A sampling technique in which clusters of participants that represent the population are used.
eg. for university students in general can just use one class.
- clusters need to represent population
- pre-existing groups
NON PROBABILITY SAMPLING
A sampling technique in which the individual members of the population do not have an equal or known likelihood of being selected to be a member of the sample.
- less expensive and easier to generate samples
CONVENIENCE SAMPLING
A sampling technique in which participants are obtained wherever they can be found and typically wherever is convenient for the researcher.
- also called haphazard sampling.
- eg. asking first 100 people we see outside the library.
QUOTA SAMPLING
A sampling technique that involves ensuring
that the sample is like the population on certain characteristics but uses convenience sampling to obtain the participants.
- population is not randomly sampled.
- subset of convenience sampling
QUANTITATIVE RESEARCH
Based on measuring variables for individual participants to obtain scores, usually numerical values, that are submitted to statistical analysis for summary and interpretation.
QUALITATIVE RESEARCH
Is based on making observations that are summarized and interpreted in a narrative report.
- often used by social anthropologists, such as when they immerse themselves in a foreign culture.
- used “in the field”
- not about statistics or black and white answers
RESEARCH STRATEGY
Is a general approach to research determined by the kind of question that the research study hopes to answer.
OBSERVATIONAL METHOD
Making observations of human or animal behaviour. Allows descriptions of behaviour. Collects both qualitative and quantitative data.
Descriptive method.
NATURALISTIC OBSERVATION
Observing the behavior of humans or animals in their natural habitat.
The idea is that animals or people in their natural habitat, rather than an artificial laboratory setting, should display more realistic, natural behaviors.
Jane Goodall, Diane Fossey.
Can be expensive and time consuming.
LABORATORY OBSERVATION
Observing the behavior of humans or animals in a more contrived and controlled situation, usually the laboratory.
SURVEY METHOD
Questioning individuals on a topic or topics
and then describing their responses.
Can access large numbers of people.
But need to ensure random sample.
Does not support cause-and-effect explanations.
Descriptive method.
CASE STUDY METHOD
An in-depth study of one or more individuals.
Used by Piaget, Freud.
Does not allow reliable predictions, the few subjects may not represent the general population.
But often suggests hypotheses for future research.
Descriptive method.
DESCRIPTIVE METHODS
Describe, not explain.
- observation
- case studies
- surveys
- archival
Advantage: can change what you are studying
Disadvantage: researcher has little control
PREDICTIVE (RELATIONAL) METHODS
Allow researchers not only to describe behaviors but also to predict from one variable to another.
- correlational method
- quasi experimental method
Lack a control group. Do not manipulate variables, only measure them. Can measure correlation but can’t determine causation. Might always be alternative explanations.
CORRELATIONAL METHOD
A method that assesses the degree of relationship between two variables.
- for example, height and weight.
Allows descriptions of behaviour.
But just because there is a correlation doesn’t mean there is causation.
No directionality, plus third variable problem.
POSITIVE RELATIONSHIP
A relationship between two variables in which an increase in one variable is accompanied by an increase in the other variable.
NEGATIVE RELATIONSHIP
A relationship between two variables in which an increase in one variable is accompanied by a decrease in the other variable.
example: higher altitude, lower temp.
QUASI EXPERIMENTAL METHOD
Research that compares naturally occurring groups of individuals; the variable of interest cannot be manipulated
Supports reliable predictions from one variable to another. Does not support cause-and-effect explanations.
SUBJECT (PARTICIPANT) VARIABLE
A characteristic inherent in the subjects that cannot be changed.
ALTERNATIVE EXPLANATION
The idea that it is possible that some other, uncontrolled, extraneous variable may be responsible for the observed relationship.
EXPERIMENTAL METHOD
A research method that allows a
researcher to establish a cause- and-effect relationship through manipulation of a variable and control of the situation.
- when and why a behaviour occurs.
Summary:
Allows description of behavior(s)
Supports reliable predictions from one variable to another
Supports cause-and-effect explanations
RANDOM ASSIGNMENT
Assigning subjects to conditions in such a way that every participant has an equal probability of being placed in any condition.