2.1—principles of scientific research Flashcards
2.1 Learning Objectives
- know the key terminology related to the principles of scientific research.
- understand the five characteristics of quality scientific research.
- it is based on measurements that are objective, valid, and reliable.
- it can be generalized.
- it uses techniques that reduce bias.
- it is made public.
- it can be replicated.
- objective, valid, and reliable measurements make it possible for other scientists to test whether they could come up with the same results if they followed the same procedures.
- psychologists mostly study samples of individuals, but are usually more concerned about describing principles that generalize to a broader population.
- single- and double-blind procedures are standard ways of reducing bias.
- publishing results is what allows scientists to share information, evaluate hypotheses that have been confirmed or refuted, and replicate other researchers’ work.
- understand how biases might influence the outcome of a study.
- demand characteristics affect how participants respond in research studies (e.g. trying to portray themselves in a positive light, even if it means not being truthful).
- researchers can unintentionally influence their own studies.
- apply the concepts of reliability and validity to examples.
- analyze whether anecdotes, authority figures, and common sense are reliably truthful sources of information.
2.1 Focus
- we hear claims from marketers and politicians every day, but how can we evaluate them?
- can we evaluate evidence even if we are not scientists?
- the most important aspect of scientific research is that it strives for objectivity: assuming that certain facts about the world can be observed and tested independently from the individual who describes them.
- subjective: when people’s knowledge of events is shaped by prior beliefs, expectations, experiences, and even mood.
Five Characteristics of Quality Scientific Research
- it is based on measurements that are objective, valid, and reliable.
- it can be generalized.
- it uses techniques that reduce bias.
- it is made public.
- it can be replicated.
Objective Measurements
the measure of an entity or behaviour that, within an allowed margin of error, is consistent across instruments and observers.
Variable
- variable: the object, concept, or event being measured.
- any method used by a researcher to measure a variable needs to include carefully defined terms.
- how would you define personality, shyness, or cognitive ability?
- in order to answer these questions, researchers must decide upon a precise definition that other researchers could understand (i.e. operational definitions).
Operational Definitions
statements that describe the procedures (or operations) and specific measures that are used to record observations.
Validity
the degree to which an instrument or procedure actually measures what it claims to measure.
Reliability
- reliability: when a measure provides consistent and stable answers across multiple observations and points in time.
- test-retest reliability: examines whether scores on a given measure of behaviour are consistent across test sessions.
- alternate-forms reliability: examines whether different forms of the same test produce the same results.
- inter-rater reliability: when different observers have to rate a behaviour or response, and agree on the measurements that were taken.
Generalizability
- generalizability: the degree to which one set of results can be applied to other situations, individuals, or events.
- one way to increase the possibility that research results will generalize is to study a large group of participants.
- we need to be careful to not over-generalize.
Population
the ground that researchers want to generalize about.
Sample
a select group of population members.
Random Sample
a sampling technique in which every individual of a population has an equal chance of being included.
Convenience Samples
samples of individuals who are the most readily available.
Ecological Validity
the results of a laboratory study can be applied to or repeated in the natural environment.
Researcher and Subject Biases
- researcher bias: when various types of bias are unintentionally introduced by the researchers.
- subject biases or participant biases can also manipulate the experiment.
- the issue of bias in research is difficult to overcome; few researchers intentionally manipulate their participants.
- in most cases, experimenters complete rigorous training and follow careful scripts when explaining experimental procedures to participants.
- manipulating participants’ expectations of the results and then evaluating whether or not this influences the outcome is helpful, but can be unethical.