2.2—scientific research designs Flashcards
2.2 Learning Objectives
- know the key terminology related to research designs.
- understand what it means when variables are positively or negatively correlated.
- positively correlated variables have a direct relationship, i.e. increase/decrease with one another.
- negatively correlated variables have an inverse relationship, i.e. as one increases, the other decreases, or vice versa.
- understand how experiments help demonstrate cause-and-effect relationships.
- at the beginning of an experiment, two or more groups are randomly assigned.
- then, researchers manipulate an independent variable.
- at the end, if one group turns out to the different, that difference is most likely due to the effects of the independent variable.
- apply the terms and concepts of experimental methods to research samples.
- analyze the pros and cons of descriptive, correlational, and experimental research designs.
- descriptive pro: observing naturally occurring behaviour and providing detailed observations of individuals.
- correlational pro: we can see how key variables are related.
- experimental pro: can be used to test for cause-and-effect relationships.
- experimental con: limited in how far their results may generalize to real-world situations.
2.2 Focus
- what are some of the ways researchers make observations?
- do some research techniques provide stronger evidence than others?
Research Design
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research design: a set of methods that allows a hypothesis to be tested. research designs influence how investigators:
- organize the stimuli used to test the hypothesis,
- make observations,
- and evaluate the results.
- all research designs have three things in common:
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variables: a property of an object, organism, event, or something else that you can take on different values.
- how frequently you laugh is a variable that could be measured and analyzed.
- operational definitions: the details that define the variables for the purposes of a specific study.
- data: the collected observations about the variables of interest.
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variables: a property of an object, organism, event, or something else that you can take on different values.
Descriptive Research
- descriptive research answers the question of “what a phenomenon is;”it describes its characteristics.
- once these observations have been performed and the data examined, they can be used to inform more sophisticated future studies that ask “why” and “how” that phenomenon occurs.
- researchers gather data using one or more of the following designs: case studies, naturalistic observation, and surveys and questionnaires.
Case Study | Descriptive Research
- case study: an in-depth report about the details of a specific case.
- they are generally reserved for individuals who have a very uncommon characteristic or have lived through a very unusual experience.
- e.g. Phineas Gage (1823-1860)
- had a metal pole launched through his face (into his left eye and tearing through his brain).
- Gage lived but became more impulsive, inconsiderate, indecisive, and impatient.
- although case studies can be used in the future to gain understanding, are they really science?
- the results from case studies may not be generalizable, but case study patients can be used to test existing hypotheses.
- e.g. a girl with no amygdala (fear control of the brain) still responded to fear stimuli.
- case studies can also be used to find similarities between different concepts.
- e.g. making people associate feelings of fear and anxiety with previously neutral objects helped to make connections in PTSD research.
- researchers who read case studies can be inspired to make other projects examining different aspects of the issue that was brought to light.
- the results from case studies may not be generalizable, but case study patients can be used to test existing hypotheses.
Naturalistic Observations | Descriptive Research
- naturalistic observations: unobtrusively observing and recording behaviours as they occur in the subject’s natural environment.
- when making naturalistic observations, researchers must pay attention to specific variables and use operational definitions.
- this method may not always provide researchers with the specific types of information they’re after.
Self-Reporting | Descriptive Research
- self-reporting: a method in which responses are provided directly by the people who are being studied, typically through face-to-face interviews, phone surveys, paper and pencil tests, and web-based questionnaires.
- the creation of objective survey and questionnaire items is extremely challenging.
- if you’re studying a subject that some people may not want to openly discuss, questions have to touch the issue without being off-putting.
Norms | Descriptive Research
- norms: average patterns of data.
- how do researchers figure out if their questions are valid?
- for clinical questionnaires, the researchers can compare results to a participant’s clinical diagnosis.
- for questionnaires on other phenomena, researchers do pretesting to calculate norms.
Correlational Research
- correlational research: involves measuring the degree of association between two or more variables.
- correlations can be visualized when presented in a scatterplot.
- direction—if correlations are positive, it means that the two variables change values in the same direction.
- magnitude or strength—this refers to how closely the changes in one variable are linked to changes in another variable.
- this magnitude is described in terms of a mathematical measurement called the correlation coefficient.
- a correlation coefficient of 0 means that there’s no relationship; +1.0 means a very strong positive relationship, -1.0 means a very strong negative relationship.
- correlation is not a measure of causation.
Third Variable Problem | Correlational Research
the possibility that a third, unmeasured variable is actually responsible for a well-established correlation between two variables.
Illusory Correlations
relationships that really exist only in the mind, rather than in reality.
Random Assignment | Experimental Research
a technique for dividing samples into two or more groups in which participants are equally likely to be placed in any condition of the experiment.
Confounding Variable | Experimental Research
a variable outside of the researcher’s control that might affect or provide an alternative explanation for the results.
Independent Variable | Experimental Research
the variable that the experimenter manipulates to distinguish between two or more groups.
Dependent Variable | Experimental Research
the observation or measurement that is recorded during the experiment and subsequently compared across all groups.