Podcast
Questions and Answers
Which of the following best describes nominal variables?
Which of the following best describes nominal variables?
- Variables that show a cause-and-effect relationship
- Variables that can be used for mathematical operations
- Categories with no relation to one another except they're different (correct)
- Variables that can be ranked with equal distances
Causation implies a direct relationship where one variable causes changes in another variable.
Causation implies a direct relationship where one variable causes changes in another variable.
True (A)
What type of study tracks changes over a specific period using the same individuals?
What type of study tracks changes over a specific period using the same individuals?
Panel study
The terms ________ and ________ refer to different types of variables where the former has unequal distances between categories.
The terms ________ and ________ refer to different types of variables where the former has unequal distances between categories.
Match the following research types with their descriptions:
Match the following research types with their descriptions:
Flashcards
Nominal Variable
Nominal Variable
A type of variable where categories have no inherent order or ranking, but are simply different from each other. Think of it like colors, where red is just different from blue, not better or worse.
Ordinal Variable
Ordinal Variable
A variable where categories can be ranked but the difference between them is not consistent or known. Like a grade, the difference between an A and B might not be the same as between a B and C.
Interval/Ratio Variable
Interval/Ratio Variable
A variable with a defined scale where the difference between categories is consistent and measurable. Imagine measuring temperature: the difference between 10 degrees and 20 degrees is the same as between 20 degrees and 30 degrees.
Correlation vs. Causation
Correlation vs. Causation
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Cross-Sectional Study Design
Cross-Sectional Study Design
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Study Notes
Variable Types
- Nominal variables: Categories have no inherent order or relationship.
- Ordinal variables: Categories have a ranked order, but the intervals between them aren't equal.
- Interval/ratio variables: Categories have a ranked order with equal intervals, and a true zero point.
Relationships Between Variables
- Correlation: Variables change in relation to each other.
- Causation: One variable directly causes the change in another.
- Spurious relationships: False association between variables, arising from a third, unseen factor.
Research Designs
- Cross-sectional: Data collected at a single point in time, like a "snapshot."
- Longitudinal: Data collected over an extended period to track changes.
- Trend study: Tracks changes in a general population, not necessarily the same individuals.
- Panel study: Tracks changes in the same individuals over time.
Research Purposes
- Descriptive: Describes characteristics of messages and contexts.
- Explanatory: Explains the meaning and effects of messages.
- Predictive: Predicts future behavior based on messages.
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Description
Explore key concepts in research methods related to psychology, covering variable types, relationships between variables, various research designs, and purposes. This quiz will help you understand how different research methodologies contribute to psychological analysis.
