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KIN 380 > FINAL EXAM Part 2 (55-103 slides Pre Midterm) > Flashcards

FINAL EXAM Part 2 (55-103 slides Pre Midterm) Flashcards

1
Q

What are the 4 Levels of Measurements?

A
  1. Nominal
  2. Ordinal
  3. Interval
  4. Ratio
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2
Q

What are the 2 Non-Parametric Levels?

A

Nominal and Ordinal

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3
Q

What are the 2 Parametric Levels?

A

Interval and Ratio

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4
Q

Nominal Description and Example

A

Provides info and categorizes

ex. eye color

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5
Q

Ordinal Description and Example

A

Shows direction, but don’t know difference between the rank or order

ex. 1st, 2nd, 3rd place

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6
Q

Interval Description and Example

A

Known difference between numbers but NO true zero

ex. Temp Celcius, IQ scores

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7
Q

Ratio Description and Example

A

Distance measure from zero, Absolute Zero Point

ex. Height and Weight

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8
Q

What 2 Things Does Statistics Inform?

A
  1. Reliability
  2. Meaningfulness
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9
Q

Central Tendency

A

A single score that best represents all scores for a group

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10
Q

Mean

A

Most common measure, Average

Sum of scores divided by # of scores

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11
Q

Median

A

number occurring at midpoint , if two take mean of both

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12
Q

Mode

A

most frequently occurring number

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13
Q

Variability

A

Best estimate of spread of scores

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14
Q

Variance

A

(X-(Mean) squared/ N-1

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15
Q

Standard Deviation

A

square root of variance

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16
Q

skewness (positive or negative)

A

scores spread out more at one end of distribution can be positive or negative

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17
Q

Kurtosis (leptokurtic vs platykurtic)

A

peakedness of distribution
platykurtic = flat
leptokurtic = high peak (mountain)

18
Q

Correlation

A

A measure of the strength and relationship between two variables

19
Q

Pearson Product-Moment Correlation

A

assumes X and Y are normally distributed and are interval and ratio scales only

20
Q

Spearman Rank-Order Correlation

A

Used for ordinal scale data, or interval or ratio scale data that deviate substantially from normality

21
Q

Pearson r is a relationship independent of (3 things)

A
  1. number of scores
  2. size of scores
  3. dispersion of scores
22
Q

Pearson r is derived from ____

A

covariance

23
Q

Direction of Relationship Positive vs Negative Pearson r

A

Positive left
Negative Right

24
Q

Strength of Relationship Moderate vs Perfect Pearson r

A

Moderate Left
Perfect Right

25
Q

Independent T-Test

A

Compare two independent samples

26
Q

Dependent T-Test

A

Compares scores from same or matched sample

27
Q

Mann-Whitney U

A

Nonparametric independent sample test

28
Q

Wilcoxon T-Test

A

Nonparametric dependent sample test

29
Q

When one sample or two sample groups are involved what test is used?

A

T-Test

30
Q

When more than two groups are involved what test is used?

A

Anova

31
Q

One-Way Anova

A

extension of two-sample t test

32
Q

Repeated Measures One-Way Anova

A

Repeated

33
Q

When you want to look at separate and combined effects of two or more IV and DV what test do you use?

A

Factorial Anova

34
Q

2x2 Split-Plot Factorial Anova

A

between and within factors

35
Q

2x3 Split-Plot Factorial Anova

A

between and within factoes

36
Q

Repeated Measures Factorial Anova

A

only within factors

37
Q

Randomized Factorial Anova

A

only between factors

38
Q

4 Types of Validity

A
  1. Logical
  2. Construct
  3. Internal
  4. External
39
Q

Logical Validity

A

quality of arguments, application of theory, and interpretation of results

40
Q

Construct Validity

A

do measures used measure what they intend to

41
Q

Within Construct Validity is Content, Convergent and Discriminant Validity. Explain these concepts.

A

Content = surface measures what it is supposed to
Convergent = moderate to high correlation with similar construct
Discriminant = zero to low correlation with different construct

42
Q

Why Do we care about construct validity?

A

helps identify what instruments are good and useful

KIN 380 (3 decks)

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