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Measurement and Statistics (KNES) > Exam 1 > Flashcards

Exam 1 Flashcards

1
Q

Test

A

Instrument used to gain info about people/objects

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2
Q

Lab tests

A
  • Expensive
  • Time consuming
  • Requires specialized training to administer test
  • ACCURATE
  • Specialized for equipment
  • Done in LABS
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3
Q

Field Tests

A
  • Done in real-world settings
  • Time efficient
  • No control
  • Little/no equipment
  • Easier to operate
  • -Everything opposite of lab tests
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4
Q

Measurement

A

Process of collecting info

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5
Q

Evaluation

A

-Using measurement in making DECISIONS

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6
Q

Cognitive (Domain of human performance)

A
  • Objectives referring to KNOWLEDGE/MENTAL achievements
  • Provable
  • Tricky bc measuring someone’s “brain”
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7
Q

Affective (Domain of human performance)

A
  • Objectives involving ATTITUDES/PERCEPTIONS
  • no correct answers (debatable)
  • quality is important
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8
Q

Psychomotor (Domain of Human Performance)

A
  • Physiological or physical performance

- Ex: measuring VO2 (physio) / vertical jump physical

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9
Q

Formative evaluation

A

Judgement conducted during instruction

-Ex: quizzes

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10
Q

Summerative

A

Final judgement conducted @ end of training period

-ex: Final grade of the semester

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11
Q

Criterion-referenced standard

A
  • Specific PREDETERMINED level of achievement
  • Harder to come up with
  • Ex: AMA says 180 is healthy for cholesterol levels
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12
Q

Norm-referenced standard

A
  • Level of achievement RELATIVE to a clearly defined subgroup
  • Collect data of a whole group + come up with a “normal avg” - (NORM IS NOT GOOD IF NOT DESIRABLE)
  • Exs: Ages 50-59 men, avg total of cholesterol is 219
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13
Q

Product Evaluation

A
  • The result

- Ex: Running 40 yds as fast as possible and evaluated on time

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14
Q

Process Evaluation

A
  • Technique

- Stride, arm movement, head sways, etc

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15
Q

Continuous (type of score)

A
  • Take INFINITE # of values depending on accuracy

- Ex: height, weight, time, temperature,

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16
Q

Discrete (type of score)

A
  • Limited to CERTAIN # of values not usually expressed in fractions
  • Ex: Scores recorded in 1/10-10/10, etc
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17
Q

Nomial (measurement scale)

A
  • MUTUALLY EXCLUSIVE categories

- Ex: sex, major

18
Q

Ordinal (measurement scale)

A
  • RANK
  • Ranking objects to w/regards of ranking characteristics
  • Ex: order of height rank is ordinal, but the heigh isn’t
  • Distance between rank isn’t equal
19
Q

Interval (measurement scale)

A
  • Scores in MEANINGFUL order and are EQUAL DISTANCES apart
  • NO TRUE ZERO (if someone falls on a zero, does not mean they are lacking)
  • Zero predetermine. Also can’t say “ x is twice as y”
  • Ex: Temperature, IQ test
20
Q

Ratio

A
  • Same as interval, except TRUE ZERO

- Ex: Length, mass, weight, elapsed time

21
Q

Variable

A

Anything that may take on diff values from person-to-person, object-to-object, or time-to-time

22
Q

Rank Order Distribution (data organization)

A
  • Ordered listing of data in single column
  • 20 or fewer scores
  • Used when data set is SMALL
23
Q

Simple Frequency Distribution (data organization)

A
  • List score only ONCE
  • In separate column, you TALLY how much that score occured
  • Condenses scores
24
Q

Grouped Frequency Distribution (data organization)

A
  • Involves grouping data intervals greater than SIZE 1
  • Ex: Grouping people’s salaries $50-60k, $60-70k, $70-80k, etc
  • With this data set, NEEDS RANGE
  • DOWNSIDE: Loses accuracy
25
Q

Normal curve (mesokurtic curve)

A

-Regular bell shaped curve

26
Q

Leptokurtic curve

A
  • KURTOSIS - The peakedness of data
  • “Lepto”kurtic” really peaked
  • Skinny
27
Q

Platykurtic curve

A
  • Flatter curve

- Less peakedness

28
Q

Negative-skewed curve

A

Skewed to the left

29
Q

Postive-skewdness

A

Skewed to the right

30
Q

Mode (measures of central tendency)

A
  • Score that shows up the most

- Use for NOMINAL data

31
Q

Median (measures of central tendency)

A
  • Middle point in an ORDERED distribution
  • DOESN’T REFLECT VALUE of measurement, but only considers RANK of each measurement
  • Preferred measure if DATA IS SKEWED
  • Used for ORDINAL data
32
Q

Mean (measures of central tendency)

A
  • The AVERAGE of scores
  • Considers values of every score
  • x-bar (x̄) symbol
  • Weakness: OUTLIERS in a group of #s that’s too few
  • Only use mean if data is NORMALLY DISTRIBUTED/INTERVAL+RATIO data
33
Q

What central measure of tendency do you use for ordinal data?

A

Median

34
Q

What central measure of tendency do you use for nominal data?

A

Mode

35
Q

What central measure of tendency do you use for interval/ratio scores?

A

Mean

36
Q

Variability

A

Describes the similarities/differences of your scores in a set of scores
Ex: Range, interquartile range, standard deviation, variance

37
Q

Range (measures of variability)

A
  • Highest score minus lowest score
  • Can change drastically which makes it UNSTABLE
  • Goes with MODE
38
Q

Interquartile range (measures of variability)

A
  • Q3 - Q1
  • The difference between 1st and 3rd quartiles
  • Used if data HIGHLY skewed
  • Goes with MEDIAN (disregards outliers)
39
Q

Standard Deviation (measures of variability)

A
  • Goes with MEAN

- The average that each score deviates from mean

40
Q

Variance

A

-Std dev squared

Measurement and Statistics (KNES) (4 decks)

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