Midterm #3 - Appendix A Flashcards

1
Q

measurement scale

A
  • a classification system used to measure a variable
  • can be nominal, ordinal, interval, or ratio
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2
Q

nominal scale

A
  • numbers are used as substitute for category names
  • ex. gender ethnicity, or relationship status
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3
Q

dummy coding

A
  • process of assigning numbers to represent categories when measuring nominal scale variables
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4
Q

dichotomous variable

A
  • a nominal scale variable with only two categories
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5
Q

ordinal scale

A
  • numbers are used to rank the variable on some dimension
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6
Q

interval scale

A
  • numbers indicate an ordering to the measurements, and the difference between each measurement value is the same
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7
Q

ratio scale

A
  • numbers indicate an ordering to the measurements
  • difference between each measurement value is the same
  • there’s a true zero point
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8
Q

frequency distrubtion

A
  • a table with 2 columns
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9
Q

histogram

A
  • type of chart used to graph continuous variables
  • frequency of measurement is represented with bars that touch
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10
Q

frequency polygon

A
  • type of chart used to graph continuous variable
  • frequency measurement is represented with a point in the graph
  • points connected with a line
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11
Q

normal distribution

A
  • a distribution of scores that resembles a bell-shaped curve
  • symmetrical with one peak, shows an equivalent mean, median, and mode
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12
Q

skewed distribution

A
  • a distribution of scores that is nonsymmetrical because some scores are more extreme than the majority of the other scores
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13
Q

which measure of central tendency represents the average of interval and ratio scales?

A
  • the mean
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14
Q

which measure of central tendency represents the average of ordinal and ranked data?

A
  • the median
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15
Q

which measure of central tendency represents the average of nominal level data?

A
  • the mode
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16
Q

range

A
  • measure of variability in the data computed by subtracting the lowest score from the highest score
17
Q

value of correlation coefficient can range from ___ to ____?

A
  • 0 to 1
18
Q

statistical hypothesis testing

A
  • start with the premise that the null hypothesis is correct (there is no difference)
19
Q

alternative hypothesis

A
  • the hypothesis that’s tested against the null hypothesis when engaging in hypothesis testing
  • usually the research hypothesis
20
Q

p-value

A
  • the probability of making a type 1 error if the null hypothesis is rejected
21
Q

type I error

A
  • the mistake we make when we decide to reject the null hypothesis when we shouldn’t
  • false positive
22
Q

type II error

A
  • the mistake we make when we fail to reject the null hypothesis when it should be rejected
  • false negative
23
Q

beta

A
  • the probability of making a type II error
24
Q

Cohen’s d

A
  • a measure of effect size that represents the standardized difference between the means of 2 correlations
25
Q

effect size r

A
  • a measure of effect size that represents the correlation between the IV and the DV in comparisons between 2 conditions
26
Q

confidence interval

A
  • the range of scores that the researcher believes contains the population’s true values
  • usually 95%