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TOPNOTCHER > Assessment of Learning (Day 30) > Flashcards

Assessment of Learning (Day 30) Flashcards

1
Q

spread of scores, above or below the measures of central tendency

A

measure of central tendency

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2
Q

three measures of variability;
RQS

A
  1. range
  2. quartile deviation
  3. standard deviation
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3
Q

three measures of variability;
RQS

difference between the highest score and the lowest score

A

range

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4
Q

three measures of variability;
RQS

rough estimation, easily affected by extreme scores, easy to compute

A

range

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4
Q

three measures of variability;
RQS

only the middle 50% of the scores in the distribution

A

quartile deviation

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4
Q

formula of range

A

R= HS-LS

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4
Q

three measures of variability;
RQS

Average deviation of the third quartile and the first quartile from the value of median

A

quartile deviation

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5
Q

three measures of variability;
RQS

reduces the influence of the extreme scores

A

quartile deviation

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6
Q

three measures of variability;
RQS

it’s bases is the mean

A

standard deviation

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7
Q

three measures of variability;
RQS

it’s bases id the median

A

quartile deviation

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8
Q

three measures of variability;
RQS

most important measure and most commonly used of variation or dispersion, most stable.

A

standard deviation

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9
Q

interpretation result;
SL

A

1.small variability
2.large variability

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10
Q
A
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11
Q

interpretation result;

small variability

A

closer, clustered, homogeneous, less varied

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12
Q

interpretation result;

large variability

A

dispersed, scattered, spread apart, far from each other, heterogeneous, more varied

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13
Q

degree of departure of the scores from a symmetry

A

measures of skewness

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14
Q

few high, few low and found in the middle

A

measures of skewness

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15
Q

group performance of the students, overall performance of the students

A

measures of skewness

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16
Q

measures of skewness;
PN

A
  1. positively skewed
  2. negatively skewed
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17
Q

measures of skewness;

skewed to the right high score

A

positiveky skewed

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18
Q

measures of skewness;

thin end tail to the right part of the curve

A

positively skewed

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19
Q

measures of skewness;

most of the scores of the students are below the mean

A

positively skewed

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20
Q

measures of skewness;

tells you only poor performance of takers

A

positively skewed

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21
Q

measures of skewness;

reason of poor performnace

A
  1. ineffective teaching
  2. student’s unpreparedness
  3. test item very difficult
  4. not enough time to answer test
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22
Q

measures of skewness;

skewed to the left

A

negatively skewed

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23
Q

measures of skewness;

thin end tail of the graph goes to the left part of the curve

A

negatively skewed

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24
Q

measures of skewness;

most of the scores of the students are above the mean

A

negatively skewed

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25
Q

measures of skewness;

possible reason of high scores

A
  1. students are smart
  2. enough time to finish exam
  3. test item are very easy
  4. effective instruction
  5. students are prepared for the exam
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26
Q

measures of skewness;

skewed to the right

A

positively skewed

27
Q

measures of skewness;

test was difficult

A

positively skewed

28
Q

measures of skewness;

most of the scores are low

A

positively skewed

29
Q

measures of skewness;

pre-test

A

positively skewed

30
Q

measures of skewness;

mean>median>mode

A

positively skewed

31
Q

measures of skewness;

skewed to the left

A

negatively skewed

32
Q

measures of skewness;

test was easy

A

negatively skewed

33
Q

measures of skewness;

most of the scores are hig

A

negatively skewed

34
Q

measures of skewness;

post-test

A

negatively skewed

35
Q

measures of skewness;

mode>median>mean

A

negatively skewed

36
Q

measures of skewness;

is a special kind of symmetric distribution

A

normal distribution

36
Q

measures of skewness;

determined using the values of the mean and standard deviation (kurtosis)

A

normal distribution

37
Q

Properties of normal distribution

A
  1. curve has a single peak
  2. bell shaped curve
    symmetrical to the mean
  3. the end tails of the curve extended indefinitely in both sides
  4. the shape of the curve will depend on the values of the mean and standard deviation (kurtosis)
38
Q

Normal distribution percentage;

68.26%

A

34.13%
34.13%

39
Q

Normal distribution percentage;

95.44%

A

34.13 %
34.13 %
13.59%
13.59%

40
Q

Normal distribution percentage;

99.72

A

34.13 %
34.13 %
13.59%
13.59%
2.14%
2.14%

41
Q

indicates where a score is in relation to all other scores, performance of an individual

A

measure of relative position

42
Q

they make it possible to compare the performance of an individual on two or more different test

A

measure of relative position

43
Q

measure of relative position;

PSZT

A
  1. percentile rank
  2. stanines
  3. Z-score
  4. T-scores
44
Q

measure of relative position;
PSZT

percentage of the examinees, scored below the score of interest

A

Percentile rank

45
Q

measure of relative position;
PSZT

also known as standard nine

A

stanines

46
Q

measure of relative position;
PSZT

ranging from 1-9

A

stanines

47
Q

measure of relative position;
PSZT

the distribution of raw scores is divided into nine parts

A

stanines

48
Q

stanines;

1

A

Very low

49
Q

stanines;

2, 3

A

Below average

50
Q

stanines;

4
5
6

A

average

51
Q

stanines;

7
8

A

above average

52
Q

stanines;

9

A

very high

53
Q

measure of relative position;
PSZT

number of standard deviation units a score is above or below the mean

A

Z-Score

54
Q

Z Score;
PN

A
  1. positive z-score
  2. negative z-score
55
Q

Z Score;
PN

above the mean

A

positive z-score

56
Q

Z Score;
PN

below the mean

A

negative z-score

57
Q

Formula of Z-score

A

Z= (Score-mean)/standard deviation

58
Q

measure of relative position;
PSZT

a mean of 50 and a standard deviation of 10

A

T-Score

59
Q

Formula of T-Score

A

T=10z + 50

60
Q
A
61
Q

these describe the degree of relationship or correlation between the two variables

A

Measure of relationship

62
Q

Measure of relationship;

PNN

A
  1. positive correlation
  2. negative correlation
  3. no correlation
63
Q

Measure of relationship;
PNN

direct relation, one variable increases the other also increases

A

positive correlation

64
Q

Measure of relationship;
PNN

scatter gram, upper right to lower left

A

positive correlation

65
Q

Measure of relationship;
PNN

indirect/inverse relation

A

negative correlation

66
Q

Measure of relationship;
PNN

one variable increase the other variable decreases

A

negative correlation

67
Q

Measure of relationship;
PNN

upper left to lower right

A

negative correlation

68
Q

Measure of relationship;
PNN

no relationship

A

no correlation

TOPNOTCHER (48 decks)

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