NSD Day 8 Flashcards

(46 cards)

1
Q

Changes of the dependent variable because mainly of the independent variable and not some other variable

A

Internal validity

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2
Q

Results of the study are generalizable to the population - more a kin to generalization

A

External Validity

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3
Q

This is a systematic error in sampling

A

sampling bias

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4
Q

Intervening variables interact with the dependent - third party variable.

A

failure to exert rigid control over the subjects

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5
Q

learning effect as a result of taking the test

A

pre-test influence on post test

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6
Q

More than treatment is being given to the subject at the same time

A

Multiple treatment interference

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7
Q

the subjects knowledge of participation in an experiment influences the result of a study

A

Hawthorne effect

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8
Q

subjects respond to a dummy treatment with positive effects

A

placebo effect

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9
Q

This is an outcome measure that refers to its consistency or reproducibility - i.e. the ability to be copied

A

reliability

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10
Q

Repeated measure made by the same person over time

A

Intrarater reliability

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11
Q

Measurements made by moe the one person

A

interrater reliability

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12
Q

statistical measurement of inter rater reliability

A

kappa coefficient

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13
Q

This is the measure of internal consistency

A

Split Half Reliability

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14
Q

Purpose is to get the true positive: i.e. to rule out

A

Sensitivity

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15
Q

Purpose is to get the true negative: i.e. to rule in

A

Specificity

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16
Q

Indicates that person does not have a specific disease or condition when the person does have the disease or condition

A

false negative

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17
Q

Indicates that person does have a specific disease or condition when the person does nothave the disease or condition

A

fasle positive

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18
Q

Formula for sensitivity

A

Sn = A/A+C

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19
Q

Formula for specificity

20
Q

Formula for Positive PV

21
Q

Formula for Negative PV

22
Q

presumed to have caused or influenced the dependent variable, variable that is controlled or manipulated

A

independent variable

23
Q

Response or outcome assumed caused by the independent variable

A

dependent variable

24
Q

There is a true difference between groups therefore the treatment was effective

A

Alternate Hypothesis

25
porbability that particular statistical value result could have happened by chance
P-Value - confidence interval
26
significance level, standard for rejecting the null hypothesis
Alpha Level
27
P < Alpha indicates
reject the null hypothesis
28
P > Alpha indicates
Null hypothesis is not rejected
29
wrongly deciding the reject the null hypothesis
Type 1 Error 9 | Alpha Error
30
wrongly deciding to accept the null hypothesis
Type 2 Error | Beta Error
31
Methods to decrease the possibility of error
1. Increase Sample Size 2. Use Random Sampling 3. Increase the measure
32
term used for average, for interval ratio data
Mean
33
Divides a distribution into 2 equal halves, ordinal data
Median
34
Value that occurs most Frequently, Nominal data
Mode
35
The difference between the higher and lowest score
range
36
divides the data into 100 equal portions
Percentiles
37
Divides the distribution into 4 equal parts
Quartiles
38
Determination of variability of scores (difference ) from the mean i.e.
Standard Deviation
39
True to False: In a normal bell shaped curve the mean, median and mode are all the same value
True
40
In positive skewness the bell curve will devoted towards what side?
Right
41
In negative skewness the bell curve will devoted towards what side?
Left
42
this type of data used interval and ration data, population is normally distributed and has homogeneity of variance sample size > 30
Parametric Data
43
Nominal and ordinal data, non-normal distribution i.e. skewed curve, small sample size
Non-parametric data
44
Compares the 2 independent variables
T-Test
45
Compares the difference between 2 matched samples, repeated measures or paired data, within subject design
Paired or Dependent T-TEST
46
Compares 3 or more independent groups
ANOVA