Podcast
Questions and Answers
What is hindsight bias?
What is hindsight bias?
- An observational technique
- A statistical index of relationship
- A hypothesis that has been tested
- The belief that one would have foreseen an outcome (correct)
What is a theory?
What is a theory?
A hypothesis that has been tested with a significant amount of data.
What is a hypothesis?
What is a hypothesis?
A testable prediction, often implied by a theory.
What does operational definition refer to?
What does operational definition refer to?
What is a case study?
What is a case study?
What is a survey?
What is a survey?
Define population in the context of research.
Define population in the context of research.
What is a random sample?
What is a random sample?
What is naturalistic observation?
What is naturalistic observation?
What does correlation refer to?
What does correlation refer to?
What is a correlation coefficient?
What is a correlation coefficient?
Define illusory correlation.
Define illusory correlation.
What is an experiment?
What is an experiment?
What does random assignment mean?
What does random assignment mean?
What is a double-blind study?
What is a double-blind study?
Define the placebo effect.
Define the placebo effect.
What is an independent variable?
What is an independent variable?
Define confounding variable.
Define confounding variable.
What is a dependent variable?
What is a dependent variable?
Define mode.
Define mode.
What is mean?
What is mean?
Define median.
Define median.
What is range?
What is range?
What is standard deviation?
What is standard deviation?
Define normal curve.
Define normal curve.
What is statistical significance?
What is statistical significance?
What is informed consent?
What is informed consent?
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Study Notes
Psychological Concepts and Research Methods
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Hindsight bias: The belief that one could have predicted an event after knowing the outcome, encapsulated by the phrase "I knew it all along."
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Theory: A well-substantiated hypothesis supported by a significant amount of data.
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Hypothesis: A testable prediction derived from a theory; it represents the first step in the experimental process.
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Operational definition: Explicit procedures used to define research variables, ensuring clarity on how variables will be measured and manipulated.
Research Techniques
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Case study: A detailed observational method focusing on a single individual to uncover universal principles or insights.
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Survey: A research method that gathers information through interviews or questionnaires to understand how people think and behave.
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Population: The complete group of individuals that a study intends to analyze or describe.
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Random sample: A subset of the population selected randomly, ensuring each member has an equal chance of being included, promoting representativeness.
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Naturalistic observation: Observing behavior in its natural context without interfering or altering the environment.
Correlation and Experimentation
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Correlation: A statistical measure that indicates the strength and direction of the relationship between two variables.
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Correlation coefficient: A numerical value ranging from -1 to +1 that quantifies the degree of correlation between two variables.
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Illusory correlation: The false perception of a relationship between two variables where none actually exists.
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Experiment: A research method wherein one or more independent variables are manipulated to observe their effect on a dependent variable.
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Random assignment: The process of allocating participants to different experimental conditions by chance, helping to minimize preexisting differences.
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Double-blind study: An experimental design in which both the participants and researchers are unaware of who receives the treatment or placebo, reducing bias.
Variables in Research
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Placebo effect: Changes in participants' behavior or feelings induced solely by their expectations rather than the treatment itself.
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Independent variable: The variable that is manipulated in an experiment to observe its effect.
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Confounding variable: An external variable that could influence the results of an experiment, thus complicating the interpretation of the effects of the independent variable.
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Dependent variable: The measured outcome in an experiment that is expected to change as a result of manipulations to the independent variable.
Statistical Measures
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Mode: The most frequently occurring score in a dataset.
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Mean: The average value of a dataset, calculated by summing all the values and dividing by their number.
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Median: The middle value in a sorted list of numerical data, or the average of the two central values if the list has an even number of entries.
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Range: The difference between the highest and lowest values in a dataset, providing a measure of variability.
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Standard deviation: A calculated measure reflecting how much scores in a dataset deviate from the mean, indicating the spread of data points.
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Normal curve: A symmetrical, bell-shaped distribution curve where most scores are near the average, with fewer scores at the extremes.
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Statistical significance: Indicates the likelihood that a result occurred by chance, guiding the interpretation of data results.
Ethical Considerations
- Informed consent: The process of informing participants about the study's risks and obtaining their agreement to partake.
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