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FRHD3070 - Final Exam Questions with
Detailed Verified Answers
Question: Pros of using existing measures
Ans ✅ ✅: save time, money, can make comparisons with other results
Question: Cons of using existing measures
Ans ✅ ✅: harder to cover abstract content, not appropriate for target pop., format
not appropriate for collection mode and different researchers have different views
Question: operational definitions
Ans ✅ ✅: sequence of steps or procedures that a researcher followed to obtain a
measurement (concrete and measurable)
Question: conceptual defintion
Ans ✅ ✅: very basic definition of what something is - in order for it to work it
research it must be operationalized
Question: components of observed score
Ans ✅ ✅: observed score = function of true score + systematic error + random error
Question: Measure twice and cut once (analogy)
Ans ✅ ✅: ways to minimize measurement error (it is always present)
Question: a variable has three components
Ans ✅ ✅: a true score, systematic error and random error
Question: true score
Ans ✅ ✅: measures construct of interest
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Question: systematic error
Ans ✅ ✅: things that are the same over and over again but also measure constructs
of disinterest
Question: random error
Ans ✅ ✅: constantly ever changing, nothing methodical about it
Question: low and high levels of measurement
Ans ✅ ✅: lower is less sophisticated and higher is more sophisticated
Question: 4 levels of measurement
Ans ✅ ✅: nominal, ordinal, interval, ratio
Question: nominal
Ans ✅ ✅: measuring at categorical measure, they are mutually exclusive (sex,
religion, ethnicity) - no hierarchy
Question: ordinal
Ans ✅ ✅: identifies differences among categories -and ranks categories ranging
from low to high (ranked) on a continuum, (report card grades, likert scales)
Question: interval
Ans ✅ ✅: identifies differences among categories and ranks categories and
intervals between adjacent categories and each interval is spaced out equally, no true
zero (temperature)
Question: ratio
Ans ✅ ✅: identifies differences among categories and ranks categories, measures
distance between categories and has a true zero, meaningful, total absence of
characteristic (income, years of education, cigarettes - if you don't smoke any you
smoke zero) (money or age)
Question: nominal stats
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Ans ✅ ✅: frequencies (how many people endorse a certain category)
Question: ordinal stats
Ans ✅ ✅: frequencies; *median* (because ranking)
Question: interval & ratio stats
Ans ✅ ✅: frequencies; median and *mean* (the average)
Question: what determines the types of mathematics you can do with
data
Ans ✅ ✅: levels of measurement
Question: levels of measurement analogy
Ans ✅ ✅: like a nesting doll because you move from lowest to highest level
(nominal to ratio)
Question: example of nominal in marathon
Ans ✅ ✅: numbers on runners
Question: example of ordinal in marathon
Ans ✅ ✅: place in race
Question: examples of interval /ratio in marathon
Ans ✅ ✅: amount of time taken to complete race
Question: Correlation
Ans ✅ ✅: stat measure of strength association between 2 variables
Question: +1.00 correlation
Ans ✅ ✅: high scores of one variable are associated with high scores of other
variable and vice versa
, |4
Question: -1.00 correlation
Ans ✅ ✅: high scores on one variable are associated with low scores of other
variable (low self-esteem associated with drug use)
Question: zero correlation (points scattered)
Ans ✅ ✅: SES and honesty - no relationship between the variables
Question: effect size
Ans ✅ ✅: r (correlation) summarizes strength of relationship
Question: r = 0.10
Ans ✅ ✅: effect size is small (weak) and range is less than 0.30
Question: r = 0.30
Ans ✅ ✅: effect size is moderate (medium) and range is 0.30 - 0.49
Question: r = 0.50
Ans ✅ ✅: the effect size is large (strong) and range is 0.50 & above
Question: Reliability
Ans ✅ ✅: degree to which observed scores are free from errors of measurement
Question: types of reliability
Ans ✅ ✅: test retest; alternative-forms; split-half; internal consistency; and inter-
rater
Question: test-retest reliability
Ans ✅ ✅: the same measure conducted at 2 different times
Question: rule of thumb for test re-test reliability
FRHD3070 - Final Exam Questions with
Detailed Verified Answers
Question: Pros of using existing measures
Ans ✅ ✅: save time, money, can make comparisons with other results
Question: Cons of using existing measures
Ans ✅ ✅: harder to cover abstract content, not appropriate for target pop., format
not appropriate for collection mode and different researchers have different views
Question: operational definitions
Ans ✅ ✅: sequence of steps or procedures that a researcher followed to obtain a
measurement (concrete and measurable)
Question: conceptual defintion
Ans ✅ ✅: very basic definition of what something is - in order for it to work it
research it must be operationalized
Question: components of observed score
Ans ✅ ✅: observed score = function of true score + systematic error + random error
Question: Measure twice and cut once (analogy)
Ans ✅ ✅: ways to minimize measurement error (it is always present)
Question: a variable has three components
Ans ✅ ✅: a true score, systematic error and random error
Question: true score
Ans ✅ ✅: measures construct of interest
, |2
Question: systematic error
Ans ✅ ✅: things that are the same over and over again but also measure constructs
of disinterest
Question: random error
Ans ✅ ✅: constantly ever changing, nothing methodical about it
Question: low and high levels of measurement
Ans ✅ ✅: lower is less sophisticated and higher is more sophisticated
Question: 4 levels of measurement
Ans ✅ ✅: nominal, ordinal, interval, ratio
Question: nominal
Ans ✅ ✅: measuring at categorical measure, they are mutually exclusive (sex,
religion, ethnicity) - no hierarchy
Question: ordinal
Ans ✅ ✅: identifies differences among categories -and ranks categories ranging
from low to high (ranked) on a continuum, (report card grades, likert scales)
Question: interval
Ans ✅ ✅: identifies differences among categories and ranks categories and
intervals between adjacent categories and each interval is spaced out equally, no true
zero (temperature)
Question: ratio
Ans ✅ ✅: identifies differences among categories and ranks categories, measures
distance between categories and has a true zero, meaningful, total absence of
characteristic (income, years of education, cigarettes - if you don't smoke any you
smoke zero) (money or age)
Question: nominal stats
, |3
Ans ✅ ✅: frequencies (how many people endorse a certain category)
Question: ordinal stats
Ans ✅ ✅: frequencies; *median* (because ranking)
Question: interval & ratio stats
Ans ✅ ✅: frequencies; median and *mean* (the average)
Question: what determines the types of mathematics you can do with
data
Ans ✅ ✅: levels of measurement
Question: levels of measurement analogy
Ans ✅ ✅: like a nesting doll because you move from lowest to highest level
(nominal to ratio)
Question: example of nominal in marathon
Ans ✅ ✅: numbers on runners
Question: example of ordinal in marathon
Ans ✅ ✅: place in race
Question: examples of interval /ratio in marathon
Ans ✅ ✅: amount of time taken to complete race
Question: Correlation
Ans ✅ ✅: stat measure of strength association between 2 variables
Question: +1.00 correlation
Ans ✅ ✅: high scores of one variable are associated with high scores of other
variable and vice versa
, |4
Question: -1.00 correlation
Ans ✅ ✅: high scores on one variable are associated with low scores of other
variable (low self-esteem associated with drug use)
Question: zero correlation (points scattered)
Ans ✅ ✅: SES and honesty - no relationship between the variables
Question: effect size
Ans ✅ ✅: r (correlation) summarizes strength of relationship
Question: r = 0.10
Ans ✅ ✅: effect size is small (weak) and range is less than 0.30
Question: r = 0.30
Ans ✅ ✅: effect size is moderate (medium) and range is 0.30 - 0.49
Question: r = 0.50
Ans ✅ ✅: the effect size is large (strong) and range is 0.50 & above
Question: Reliability
Ans ✅ ✅: degree to which observed scores are free from errors of measurement
Question: types of reliability
Ans ✅ ✅: test retest; alternative-forms; split-half; internal consistency; and inter-
rater
Question: test-retest reliability
Ans ✅ ✅: the same measure conducted at 2 different times
Question: rule of thumb for test re-test reliability