a measure of linear relationships between two variables
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effect size
the absolute value of the correlation coefficient
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statistical significance
the likelihood that the observed correlation between two variables is due to random chance
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significant large
scientists are looking for statistically __________ \[significant/insignificant\] correlations with ____ \[large/small\] effect sizes.
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causation
correlation limits - they cannot be interpreted in terms of __________
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the third variable problem
(correlation limit) the possibility that a third variable exists that correlates both with X and Y and explains the correlation between them
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curvilinear relationships
(correlation limit) variables are linked non-linearly
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spurious correlations
(correlation limit) when calculating multiple correlations between multiple variables - the possibility that some of the statistically significant correlations are the result of random chance
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trustworthiness
the credibility of quantitative research
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triangulation
a combination of different approaches to collecting and interpreting data in order to enhance the credibility of a study
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establishing a rapport
ensuring participants are being honest in order to enhance the credibility of a study
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iterative questioning
spotting ambiguous answers and returning to the topic later while at the same time rephrasing the question in order to enhance the credibility of a study
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reflexivity
reflecting on the possibility that researches’ own biases might have interfered with the observations or interpretations in order to enhance the credibility of a study
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epistemological reflexivity
researcher-induced bias linked to knowledge of the strengths and limitations of the method used to collect data
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personal reflexivity
researcher-induced bias linked to the personal beliefs and expectations of the researcher
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credibility checks
checking the accuracy of data by asking the participants themselves to read transcripts of interviews or field notes of observations and confirm that the transcripts or notes are an accurate representation of what they said (meant) or did in order to enhance the credibility of a study
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thick descriptions
explaining not just the observed behavior itself, but also the context in which it occurred so that the description becomes meaningful to an outsider who never observed the phenomenon firsthand in order to enhance the credibility of a study
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acquiescence bias
participants’ tendency to give positive answers whatever the question
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social desirability bias
participants’ tendency to respond or behave in a way that they think will make them liked or accepted
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dominant respondent bias
the tendency for one participant to influence the behavior and responses of the others in a group interview setting
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sensitivity bias
participants’ tendency to answer regular questions honestly, but distort their responses to questions on sensitive subjects
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confirmation bias
the researcher has a prior belief and uses the research in an unintentional attempt to confirm that belief
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leading questions bias
respondents to an interview are inclined to answer in a certain way because the wording of the question encourages them to do so
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question order bias
responses to one question influence the participants’ responses to the following question
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sampling bias
the sample is not adequate for the aims of the research
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biased reporting
some findings of the study are not equally represented in the research report
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non-probabilistic
each member of the target population does NOT have an equal chance of being included in the sample (in qualitative research)
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quota sampling
how many people to include in the sample and their characteristics are decided prior to the sample
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purposive sampling
the main characteristics of participants are defined in advance and then researchers recruit participants who have these characteristics
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theoretical sampling
a type of purposive sampling that stops when the point of data saturation has been reached
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data saturation
no new information is obtained from new participants added to the sample
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snowball sampling
a small number of participants are invited and asked to invite other people they know who are also of interest for the purposes of the research
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convenience sampling
using the sample that is most easily available or accessible
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sample-to-population generalization
the researcher starts by identifying the target population and then selects a sample that is representative of this population
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theoretical generalization
generalization is made from particular observations to a broader theory, achieved through rigorous analysis and interpretation of research findings
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case-to-case generalization (transferability)
generalization is made to a different group of people or a different setting or context