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Atty. Gallman Ethics, Stats, and Research > Statistical Tests/Treatments from Sir G and Atty G > Flashcards

Statistical Tests/Treatments from Sir G and Atty G Flashcards

1
Q

These tests significance of INTERVAL/RATIO DATA, using RANDOM SAMPLING with an UKNOWN POPULATION

A

Parametric Tests

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2
Q

These tests use a NON-PROBABILITY SAMPLING with a CATEGORICAL DATA

A

Non-parametric tests

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3
Q

The conclusions or assumptions from a parametric test can _____ to the population

A

be generalized

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4
Q

The conclusions or assumptions from a non-parametric test can _____ to the population

A

not be generalized

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5
Q

We expect ___ data and a ____ distribution from a non-parametric test

A

Homogenous; skewed

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6
Q

Two tests that fall under parametric sampling

A

T-test and ANOVA

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7
Q

The only tests with a single letter name that you should expect from a parametric test, the rest sa non-parametric na

A

Z, T, and F (ANOVA is also known as the F-test)

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8
Q

Parametric and non-parametric tests are used by researchers when they’re trying to ____ data

A

Compare

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9
Q

Regression analyses are used by researchers when they’re trying to ____ data

A

Predict

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10
Q

Treatments like the pearson r, spearman rho, phi coefficient, tetrachoric correlation are used by researchers when they’re trying to ____ data

A

Correlate/associate/link

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11
Q

Under correlation, this is the term used to show how much two scores vary together

A

Covariance

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12
Q

This is the is the result of a correlation or the mathematical index of the correlation

A

Correlational coefficient

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13
Q

The correlational coefficient describe the ___ and ___ of the relationship

A

direction and magnitude

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14
Q

The correlational coefficient ranges from

A

-1 to +1

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15
Q

This value of the correlational coefficient means no correlation at all

A

0

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16
Q

This correlational treatment is used when the data are continuous or interval

A

Pearson r

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17
Q

This correlational treatment is used when the data are ordinal in nature

A

Spearman rho

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18
Q

TEST ITEMS are ____ in nature

A

Ordinal (either right or wrong lang)

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19
Q

You can also use interval data for spearman rho because

A

Interval data can be CONVERTED to ordinal data

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20
Q

This correlational treatment is used when one or more of the data are TRUE DICHOTOMOUS

Meaning pwede two true dichotomous data, pwede one true + one artificial dichotomous data

A

Phi coefficient

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21
Q

This correlational treatment is used when you have TWO ARTIFICIAL DICHOTOMOUS (AD) data

A

Tetrachoric correlation

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22
Q

This correlational treatment is used when you have ONE CONTINUOUS/INTERVAL and ONE AD data

A

Biserial

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23
Q

This correlational treatment is used when you have ONE CONTINUOUS/INTERVAL and ONE TRUE DICHOTOMOUS (DT) data

A

Point-biserial

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24
Q

You use this correlational statistical treatment when doing ITEM DISCRIMINATION

A

Point-biserial

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25
This correlational treatment is used when you want to know the interscorer agreement of 3 people or more with a test using ORDINAL DATA
Kendall’s Coefficient Test of Concordance | or Kendall’s W
26
This correlational treatment is used when you want to know the interscorer agreement using INTERVAL DATA
Kappa Statistic
27
Under Kappa Statistic, ___ is used when you have 3 raters and above
Fleiss' Kappa
28
Under Kappa Statistic, ___ is used when you want to assess the agreement between 2 raters
Cohenn's Kappa
29
This correlational treatment is used when you want to measure the NON-ASSOCIATION of two variables
Coefficient of Alienation
30
This correlational treatment is used when you want to know the suggested PERCENTAGE SHARED by two variables
JCoefficient of Determination (r2)
31
This test of prediction is used if you only have one predictor, and one factor being predicted
Linear regression
32
This test of prediction is used if you have MANY PREDICTORS predicting ONE FACTOR
Multiple regression
33
This test of prediction is used in FACTOR ANALYSIS
Multiple regression
34
This test of prediction is used if you are FILTERING a SERIES of predictors to look for the best predictor
Stepwise regression
35
This test of prediction is also known as BETA WEIGHTS and it shows how much a variable CONTRIBUTES to the another variable or the whole test
Standardized regression coefficients
36
This is also used in FACTOR LOADING
Standardized regression coefficients
37
A PARAMETRIC test that COMPARES groups of participants that aren’t related (independent) in any way
Independent samples t-tests
38
Independent samples t-tests is sometimes called
Between subjects design
39
A PARAMETRIC test that COMPARES groups of participants that are RELATED in some way
Paired samples t-test/dependent samples t-test/repeated measures design
40
When participants in the first group are the same participants in the second group, this is PARAMETRIC COMPARATIVE TEST will be used
Repeated measures design
41
Also known as the f-test
One-way ANOVA
42
A PARAMETRIC test if you have TWO LEVELS (treatments/conditions) of a SINGLE IV
One-way ANOVA
43
A PARAMETRIC test if you have TWO IVs having TWO OR MORE CONDITIONS
Two-way ANOVA
44
A PARAMETRIC test that needs ONE CATEGORICAL IV and a CONTINUOUS DV
Repeated measures ANOVA
45
A PARAMETRIC test like one-way ANOVA but for RELATED/DEPENDENT GROUPS
Repeated measures ANOVA
46
The extension of a DEPENDENT T-TEST/repeated measures design
Repeated measures ANOVA
47
Repeated measures design is also called
Within-subjects ANOVA or ANOVA for correlated samples
48
This is used when the ANOVA is significant and you want to know which conditions have the SIGNIFCANT DIFFERENCE
Post-hoc tests
49
How do post-hoc tests compare conditions?
Two at a time
50
The post-hoc test used for one-way ANOVA/between groups
Scheffe post-hoc
51
The post-hoc used for two-way ANOVA/among groups
Tukey post-hoc
52
This NON-PARAMETRIC TEST is used to determine and significant difference between the EXPECTED FREQUENCIES and the OBSERVED FREQUENCIES
Chi-square tests
53
This NON-PARAMETRIC TEST is used to determine the NUMBER OF RESPONSES that FALL IN DIFFERENT CATEGORIES for a single qualitative (lahat ng non-para quali) variable
Chi-square goodness of fit
54
This NON-PARAMETRIC TEST is used to know the difference between two populations that are HOMOGENOUS in some characteristics
Chi-square of homogeneity
55
This NON-PARAMETRIC TEST is applied to categorical data to evaluate how likely it is that ANY OBSERVED DIFFERENCE between the sets AROSE BY CHANCE
Pearson chi-square test
56
The pearson chi-square test is also known as
chi-square of correlation
57
Considered the nonparametric alternative to the independent t-test
Mann-Whitney U test
58
Non-parametric equivalent of the paired samples t-test
Wilcoxon test
59
Non-parametric equivalent of one-way independent measures ANOVA
Kruskal-Wallis H test
60
Non-parametric alternative for one-way repeated measures ANOVA
Friedman test
61
Formula for Z score
X1 + x bar / SD
62
Basic statistics is divided into two:
Descriptive and Inferential
63
The 3 requirements of a parametric test
1) Normally distributed 2) Homogenous variance 3) Interval or ratio data
64
The 3 requirements of a non-parametric test
1) Doesn't need normal distribution 2) Doesn't need a homogenous variance 3) Nominal or ordinal data

Atty. Gallman Ethics, Stats, and Research (3 decks)

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