Research Methods and Statistics Flashcards
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Read the first 7 Research Methods and Statistics flashcards as text
Which of the following correlation coefficients reflects the strongest linear relationship between two variables?
Answer: -0.78
The strength of a correlation is determined by its absolute value; -0.78 has the highest absolute value (0.78) among the options.
A researcher rejects the null hypothesis when it is actually true. This is an example of:
Answer: Type I error
A Type I error (false positive) occurs when the null hypothesis is incorrectly rejected; its probability equals the alpha level.
Cohen's d is a commonly reported statistic in psychological research. What does it primarily measure?
Answer: The practical significance or magnitude of a treatment effect
Cohen's d is an effect size statistic that quantifies the practical magnitude of a difference between means, independent of sample size.
A researcher follows the same cohort of children from age 5 to age 18 to study cognitive development. This is best described as a:
Answer: Longitudinal design
A longitudinal design tracks the same participants across extended time periods, allowing researchers to observe developmental changes within individuals.
Which measure of central tendency is most resistant to the influence of extreme outliers in a distribution?
Answer: Median
The median is the middle value and is not affected by extreme scores, making it a more robust measure when outliers are present.
Two raters independently score 50 therapy session recordings using the same coding manual. The researcher then calculates intraclass correlation. What is being assessed?
Answer: Inter-rater reliability
Inter-rater reliability assesses the level of agreement between two or more independent raters using the same measurement instrument.
A researcher wants to examine whether there is an association between diagnostic category (MDD, GAD, PTSD) and treatment modality chosen (CBT, DBT, psychodynamic). Which statistical test is most appropriate?
Answer: Chi-square test of independence
The chi-square test of independence evaluates whether two categorical variables are statistically associated with each other.
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