Exam 1

Question 1

Test

Answer 1

Instrument used to gain info about people/objects

Question 2

Lab tests

Answer 2

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

Question 3

Field Tests

Answer 3

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

Question 4

Measurement

Answer 4

Process of collecting info

Question 5

Evaluation

Answer 5

-Using measurement in making DECISIONS

Question 6

Cognitive (Domain of human performance)

Answer 6

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

Question 7

Affective (Domain of human performance)

Answer 7

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

Question 8

Psychomotor (Domain of Human Performance)

Answer 8

• Physiological or physical performance

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

Question 9

Formative evaluation

Answer 9

Judgement conducted during instruction

-Ex: quizzes

Question 10

Summerative

Answer 10

Final judgement conducted @ end of training period

-ex: Final grade of the semester

Question 11

Criterion-referenced standard

Answer 11

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

Question 12

Norm-referenced standard

Answer 12

• 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

Question 13

Product Evaluation

Answer 13

• The result

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

Question 14

Process Evaluation

Answer 14

• Technique

- Stride, arm movement, head sways, etc

Question 15

Continuous (type of score)

Answer 15

• Take INFINITE # of values depending on accuracy

- Ex: height, weight, time, temperature,

Question 16

Discrete (type of score)

Answer 16

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

Question 17

Nomial (measurement scale)

Answer 17

• MUTUALLY EXCLUSIVE categories

- Ex: sex, major

Question 18

Ordinal (measurement scale)

Answer 18

• 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

Question 19

Interval (measurement scale)

Answer 19

• 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

Question 20

Ratio

Answer 20

• Same as interval, except TRUE ZERO

- Ex: Length, mass, weight, elapsed time

Question 21

Variable

Answer 21

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

Question 22

Rank Order Distribution (data organization)

Answer 22

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

Question 23

Simple Frequency Distribution (data organization)

Answer 23

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

Question 24

Grouped Frequency Distribution (data organization)

Answer 24

• 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

Question 25

Normal curve (mesokurtic curve)

Answer 25

-Regular bell shaped curve

Question 26

Leptokurtic curve

Answer 26

- KURTOSIS - The peakedness of data - "Lepto"kurtic" really peaked - Skinny

Question 27

Platykurtic curve

Answer 27

- Flatter curve | - Less peakedness

Question 28

Negative-skewed curve

Answer 28

Skewed to the left

Question 29

Postive-skewdness

Answer 29

Skewed to the right

Question 30

Mode (measures of central tendency)

Answer 30

- Score that shows up the most | - Use for NOMINAL data

Question 31

Median (measures of central tendency)

Answer 31

- 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

Question 32

Mean (measures of central tendency)

Answer 32

- 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

Question 33

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

Answer 33

Median

Question 34

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

Answer 34

Mode

Question 35

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

Answer 35

Mean

Question 36

Variability

Answer 36

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

Question 37

Range (measures of variability)

Answer 37

- Highest score minus lowest score - Can change drastically which makes it UNSTABLE - Goes with MODE

Question 38

Interquartile range (measures of variability)

Answer 38

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

Question 39

Standard Deviation (measures of variability)

Answer 39

- Goes with MEAN | - The average that each score deviates from mean

Question 40

Variance

Answer 40

-Std dev squared