Module 6: Research Methods and Statistics Flashcards

1
Q

Measures of Central Tendency

A

+ statistics that indicates the average or midmost score between the extreme scores in a distribution
+ also known as Measures of Central Location

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2
Q

What are the different Measures of Central Tendency?

A
  1. Mean
  2. Median
  3. Mode
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3
Q

Goal of Measures of Central Tendency

A

Identify the most typical or representative of entire group

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4
Q

Mean

A

+ the average of all the raw scores
+ equal to the sum of the observations divided by the number of observations
+ interval and ratio data (when normal distribution)
+ point of least squares\
+ balance point for the distribution
+ susceptible to outliers

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5
Q

Median

A

+ the middle score of the distribution
+ Ordinal, Interval, Ratio
+ for extreme scores, use median
+ identical for sample and population
+ also used when there has an unknown or undetermined score
+ used in “open-ended” categories (e.g., 5 or more, more than 8, at least 10)
+ for ordinal data
+ if the distribution is skewed for ratio/interval data, use median

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6
Q

Mode

A

+ most frequently occurring score in the distribution
+ Bimodal Distribution: if there are two scores that occur with highest frequency
+ Not commonly used
+ Useful in analyses of qualitative or verbal nature
+ For nominal scales, discrete variables
+ Value of the mode gives an indication of the shape of the distribution as well as a measure of central tendency

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7
Q

Measures of Spread or Variability

A

+ statistics that describe the amount of variation in a distribution
+ gives idea of how well the measure of central tendency represent the data
+ large spread of values means large differences between individual scores

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8
Q

What are the different Measures of Spread or Variability?

A
  1. Range
  2. Interquartile Range
  3. Semi-Quartile Range
  4. Standard Deviation
  5. Variance
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9
Q

What are the different Measures of Location?

A
  1. Percentile or Percentile Rank
  2. Quartile
  3. Decile/STEN
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10
Q

Percentile or Percentile Rank

A

+ not linearly transformable, converged at the middle and the outer ends show large interval
+ expressed in terms of the percentage of persons in the standardization sample who fall below a given score
+ indicates the individual’s relative position in the standardization sample
+ essential in creating normalized standardized scores

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11
Q

Quartile

A

+ dividing points between the four quarters in the distribution
+ Specific point
+ Quarter: refers to an interval

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12
Q

Decile/STEN

A

+ divide into 10 equal parts
+ a measure of the asymmetry of the probability distribution of a real-valued random about its mean

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13
Q

Tools for Correlation

A
  1. Pearson R
  2. Spearman Rho
  3. Biserial
  4. Point Biserial
  5. Phi Coefficient
  6. Tetrachoric
  7. Kendall’s
  8. Rank Biserial
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14
Q

Pearson R

A

interval/ratio + interval/ratio

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15
Q

Spearman Rho

A

ordinal + ordinal

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16
Q

Biserial

A

artificial dichotomous + interval/ratio

17
Q

Point Biserial

A

true dichotomous + interval/ratio

18
Q

Phi Coefficient

A

nominal (true dic) + nominal (true/artificial dic.)

19
Q

Tetrachoric

A

Art. Dichotomous + Art. Dichotomous

20
Q

Kendall’s

A

3 or more ordinal/rank

21
Q

Rank Biserial

A

nominal + ordinal

22
Q

Tools to Measure Differences

A
  1. T-test Independent (Unpaired T-test)
  2. T-Test Dependent (Paired T-test)
  3. One-Way ANOVA
  4. One-Way Repeated Measures
  5. Two-Way ANOVA
  6. ANCOVA
  7. ANOVA Mixed Design
  8. MANOVA
23
Q

T-test Independent (Unpaired T-test)

A

+ two separate groups, random assignment
+ e.g., blood pressure of male and female grad students

24
Q

T-Test Dependent (Paired T-test)

A

+ one group, two scores
+ e.g., blood pressure before and after the lecture of Grad students

25
Q

One-Way ANOVA

A

+ 3 or more groups, tested once
+ e.g., people in different socio-economic status and the differences of their salaries