PSY 2106 Lecture Notes - Lecture 2: Likert Scale
20 Sep 2016
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Variable: measured phenomenon that can take on different values. Data saturation: a researcher continues research until they reach a point of data saturation, which is when the same variables continue to show up the researcher is no longer seeing or hearing new information. Statistics are generalizable (because there is a large quantity of them) Case studies are richer there are more variables and more issues come up/are explored. Population: all people/subjects you want to generalize to. The group studied is called a sample if you want to generalize beyond that group. Population statistics are indicated by greek letters (ex. Sample statistics are indicated by latin letters (ex. Descriptive statistics: obtaining a number, table, or diagram to summarize a characteristic across a group of observations (the sample) Inferential statistics/hypothesis testing: determining how confident you can be that what you found in group studied generalizes to similar others (whole population). You usually must be 95% sure in order to publish a study.
