Chapter 6 Flashcards
What is a “single item score”
An individual score assigned to each question for each participant in a study
What are “summed scores”
The scores of an individual added up to measure the same variable.
What are “Net or Difference” scores
Scores in a quantitative study that represent a difference or change for each individual.
What is “cleaning the data”
The process of inspecting the data for scores or values that are outside the accepted range.
What are “descriptive statistics “
Stats that present information that helps a researcher describe responses to each question and determine overall trends.
Stats that indicate general tendencies in the data.
This includes mean, median mode, variance, standard deviation, range, z-scores, percentile rank.
What are “inferential statistics”
Enable researchers to draw conclusions, inferences, or generalizations from a sample to a population of participants.
What is “Central Tendency” and name each of them.
Measures of central tendency are summary numbers that represent a single value in a distribution of scores.
Mean, Median, and Mode
“Mean” is useful for what?
For calculating scores for other advanced statistics
“Median” is useful for what?
It’s useful in situations with extreme outliers
“Mode” is useful for
Reporting on categorical variables.
What are measures of variability?
They indicate the spread of scores in a distribution
Range, variance, and standard deviation
What is “range”
The distance between the highest and lowest scores
What is “Variance”
The dispersion of scores around the mean.
The variance number itself doesn’t mean much but is useful in calculating more complex stats
How do you calculate variance?
1) Calculate the difference between the mean and the raw score
2) square that value
3) sum the squared scores for all individuals
4) divide that by the total number of individuals minus 1
What is a Z-score
How much a given value differs from the standard deviation,
The number of standard deviations a given data point lies above or below the mean