central tendency Flashcards
What is the first step in the quantitative research process?
Literature review, research questions, and study design.
What is the second step in the quantitative research process?
Collect a sample.
What is done after collecting a sample in the quantitative research process?
Perform some coding to clean up your data.
What comes after cleaning up your data in the quantitative research process?
Describe your sample.
What is the next step after describing your sample in the quantitative research process?
Estimate the parameters in the population.
What is the focus of the study by Chao et al. (2023)?
The relationship between TikTok use and psychosocial outcomes.
What was the sample size in the study by Chao et al. (2023)?
1,346 Chinese adolescents, aged 12-18 years.
Why is it important to describe your sample in quantitative research?
To understand how far you can generalize your findings.
What are the measures of central tendency used in quantitative research?
Mode, median, and mean.
What is the mode?
The value that appears most frequently in a dataset.
How can the mode be illustrated in data?
The mode is the most frequent value in a dataset, as shown in visual representations.
What is an example of a dataset with a clear mode?
A dataset where one number appears more frequently than the others.
What is the median?
The middle value in a sorted dataset, where half of the data points are above and half are below
How do you find the median of a dataset?
Sort the data in ascending order and find the middle value
What is the mean?
The average value of a dataset, calculated by summing all values and dividing by the number of data points.
What is a potential issue with using the mean as a measure of central tendency?
The mean can be skewed by outliers, leading to misleading conclusions.
What is a trimmed mean?
A mean calculated after removing a specified percentage of the smallest and largest values in a dataset to reduce the effect of outliers.
Why might you use a trimmed mean instead of the regular mean?
To minimize the impact of outliers on the average calculation.
What are variance and standard deviation?
Measures of spread in a dataset, indicating how much the values differ from the mean.
How are variance and standard deviation related?
Standard deviation is the square root of variance.
What do variance and standard deviation tell us about a dataset?
They indicate the degree of variability or dispersion in the data.
What is the minimum in a dataset?
The smallest value in the dataset.
What is the maximum in a dataset?
The largest value in the dataset.
What is the range of a dataset?
The difference between the maximum and minimum values in the dataset.
