Psychological Assessment Statistics: Scales of Measurement and Descriptive Statistics

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16 Questions

Which scale of measurement has a true zero point?

Ratio

What does 'Magnitude' refer to in the context of statistics?

Property of 'moreness'

Which statistic provides a concise description of a collection of quantitative information?

Descriptive statistics

What is the property of an 'Equal Interval' scale?

The difference between two points at any place on the scale is the same

Which scale can take on any value within a range and has infinite possible values?

Continuous Scale

'Tukey's HSD test' is used for computing what in ANOVA?

Minimum difference between treatment means necessary for significance

What type of scale involves classification or distribution categorization based on one or more distinguishing characteristics?

Nominal scale

Which measure of central tendency is the middle score of the distribution?

Median

What type of distribution has two scores that occur with the highest frequency?

Bimodal distribution

Which measure of variability is equal to the difference between the highest and lowest score?

Range

What type of transformation retains a direct numerical relationship to the original raw score?

Linear transformation

What is the purpose of hypothesis testing?

To evaluate a sample data to make inferences about a population

What is the purpose of the alpha level in a hypothesis test?

To define the concept of "very unlikely"

What is the purpose of the Pearson correlation coefficient?

To measure the strength and direction of the relationship between two continuous variables

What is the purpose of the standard error of estimate in regression analysis?

To measure the variability of the residuals

What type of test is used to compare the means of two independent groups with continuous variables?

Independent t-test

Learn about the different scales of measurement, with a focus on ratio scale which has a true zero point. Explore descriptive statistics methods to provide a concise description of data distributions according to Cohen & Swerdlik (2018), Kaplan & Saccuzzo (2018), and Gravetter & Wallnau (2013).

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