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Psych Assessment Compre > Research Methods and Statistics > Flashcards

Research Methods and Statistics Flashcards

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1
Q

Statistics that indicate the average or midmost score between the extreme scores in a distribution

A

Measures of Central Tendency

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2
Q

Its goal is to identify the most typical or representative of entire group.

A

Measures of Central Tendency

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3
Q

The average of all raw scores. It is susceptible to outliers.
a. Mean
b. Median
c. Mode

A

a. Mean

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4
Q

It is used in interval and ratio data when the distribution is normal.
a. Mean
b. Median
c. Mode

A

a. Mean

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5
Q

It is the middle score of the distribution. This should be used when there are extreme scores or if the distribution is skewed.
a. Mean
b. Median
c. Mode

A

b. Median

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6
Q

Also used when there is an unknown or undetermined score. Thus, used in “open-ended” categories. (e.g., 5 or more, more than 8, at least 10)
a. Mean
b. Median
c. Mode

A

b. Median

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7
Q

What is best used in ordinal data?
a. Mean
b. Median
c. Mode

A

b. Median

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8
Q

This is the most frequently occurring score in the distribution. This is not commonly used but it is useful in analysis of qualitative data.
a. Mean
b. Median
c. Mode

A

c. Mode

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9
Q

It is used in nominal scales.
a. Mean
b. Median
c. Mode

A

c. Mode

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10
Q

The value of the ______ gives an indication of the shape of the distribution.
a. Mean
b. Median
c. Mode

A

Mode

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11
Q

Statistics that describe the amount of variation in a distribution. It gives idea of how well the measure of central tendency represent the data

A

Measures of Spread or Variability

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12
Q

Provides a quick but gross description of the spread of scores. When its value is based on extreme scores of the distribution, the resulting description of variation may be understated or overstated
a. Range
b. Standard Deviation
c. Variance

A

a. Range

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13
Q

Approximation of the average deviation around the mean
a. Range
b. Standard Deviation
c. Variance

A

b. Standard Deviation

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14
Q

It gives detail of how much above or below a score to the mean. It is also equal to the square root of the variance.
a. Range
b. Standard Deviation
c. Variance

A

b. Standard Deviation

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15
Q

It is the average squared deviation around the mean.
a. Range
b. Standard Deviation
c. Variance

A

c. Variance

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16
Q

Difference between Q1 and Q2

A

Interquartile Range

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17
Q

Interquartile range divided by 2

A

Semi-quartile Range

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18
Q

It is not linearly transformable, converged at the middle and the outer ends show large interval
a. Percentile
b. Quartile
c. Quarter
d. Decile/STEN

A

a. Percentile

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19
Q

It refers to the dividing points between the four quarters in the distribution
a. Percentile
b. Quartile
c. Quarter
d. Decile/STEN

A

b. Quartile

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20
Q

It indicates the individual’s relative
position in the standardization sample and it is essential in creating normalized standardized scores.
a. Percentile
b. Quartile
c. Quarter
d. Decile/STEN

A

a. Percentile

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21
Q

It also refers to an interval.
a. Quartile
b. Quarter
c. Decile
d. Percentile

A

b. Quarter

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22
Q

It is a measure of the asymmetry of the probability distribution of a real-valued random about its mean
a. Percentile
b. Quartile
c. Quarter
d. Decile/STEN

A

d. Decile/STEN

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23
Q

It divided the data into 10 equal parts.
a. Percentile
b. Quartile
c. Quarter
d. STEN

24
Q

A correlation that is used in interval/ratio + interval/ratio data.

25
A correlation the is used in ordinal + ordinal data.
Spearman Rho
26
A correlation used in artificial Dichotomous + interval/ratio data.
Biserial
27
A correlation used in true dichotomous + interval/ratio data.
Point Biserial
28
A correlation used in Nominal (True Dichotomous) + Nominal (True/Artificial Dichotomous)
Phi Coefficient
29
A correlation used in Artificial Dichotomous + Artificial Dichotomous.
Tetrachoric
30
A correlation used in 3 or more ordinal/rank data.
Kendall's
31
A correlation used in nominal + ordinal data.
Rank Biserial
32
A test of differences/comparison used in two separate groups with random assignment.
T-test Independent (Unpaired T-test)
33
What test should be used when comparing the blood pressure of male and female graduate students? a. T-Test Dependent or Paired T-test b. One-way Repeated Measures c. T-Test Independent or Unpaired T-test d. Two-Way Anova
a. T-Test Dependent or Paired T-test
34
A test of differences/comparison used in one group with two scores.
T-Test Dependent (Paired T-test)
35
A test of differences/comparison used in 3 or more groups that are tested at once.
One-Way ANOVA
36
A test of differences/comparison used in one group which is measured at least three times.
One-Way Repeated Measures
37
A test of differences/comparison used in three or more groups who are tested for two variables.
Two-Way ANOVA
38
A test of differences/comparison used when you need to control for an additional variable which may be influencing the relationship between your independent and dependent variable
ANCOVA
39
A test of differences/comparison used in two or more groups who are measures more than three times.
ANOVA Mixed Design
40
A test of differences/comparison used to test the differences between the means of multiple dependent variables across two or more independent groups
MANOVA
41
What test should be used when comparing the blood pressure of students before and after a lecture? a. MANOVA b. T-test Independent or Unpaired T-test c. T-Test Dependent or Paired T-test d. ANCOVA
c. T-Test Dependent or Paired T-test
42
What test should be used when measuring the focus level of board reviewers during morning, afternoon, and night sessions of review? a. One-Way ANOVA b. One-Way Repeated Measures c. T-Test Dependent d. Two-Way ANOVA
b. One-Way Repeated Measures
43
What test should be used in a study that tackles people in different socio-economic status and the differences of their salaries and their eating habits? a. Two-Way ANOVA b. ANCOVA c. One-Way ANOVA d. One-Way Repeated Measures
a. Two-Way ANOVA
44
What test should be used in assessing people in different socio-economic status and the differences of their salaries? a. T-Test Dependent b. One-Way ANOVA c. Two-Way ANOVA d. T-Test Dependent
b. One-Way ANOVA
45
A non-parametric test used in T-test Independent.
Mann Whitney U Test
46
A non-parametric test used in T-test dependent.
Wilcoxon Signed Rank Test
47
A non-parametric test used in one-way/two-way ANOVA.
Kruskal-Wallis H Test
48
A non-parametric test used in ANOVA repeated measures .
Friedman Test
49
A non-parametric test used for two groups of nominal data.
Lambda
50
A chi-square test that is used to measure differences and involves nominal data and only one variable with 2 or more categories
Goodness of Fit
51
A chi-square test that is used to measure correlation and involves nominal data and two variables with two or more categories.
Test of Independence
52
This is used when one wants to provide framework of prediction on the basis of one factor in order to predict the probable value of another facto
Regression
53
This is used to predict the unknown value of variable Y when value of variable X is known.
Linear Regression of Y on X
54
This is used to predict the unknown value of variable X using the known variable Y.
Linear Regression of X on Y
55
Data are drawn from a population that has normal distribution
Test for Normality
56
It is a normality test which is used if there are more than 50 sample size.
Kolmogorov-Smirnov
57
It is a normality test which is used when there are less than 50 sample size.
Shapiro-Wilk

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