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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
Q

This correlational treatment is used when you want to know the interscorer agreement of 3 people or more with a test using ORDINAL DATA

A

Kendall’s Coefficient Test of Concordance

or Kendall’s W

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26
Q

This correlational treatment is used when you want to know the interscorer agreement using INTERVAL DATA

A

Kappa Statistic

27
Q

Under Kappa Statistic, ___ is used when you have 3 raters and above

A

Fleiss’ Kappa

28
Q

Under Kappa Statistic, ___ is used when you want to assess the agreement between 2 raters

A

Cohenn’s Kappa

29
Q

This correlational treatment is used when you want to measure the NON-ASSOCIATION of two variables

A

Coefficient of Alienation

30
Q

This correlational treatment is used when you want to know the suggested PERCENTAGE SHARED by two variables

A

JCoefficient of Determination (r2)

31
Q

This test of prediction is used if you only have one predictor, and one factor being predicted

A

Linear regression

32
Q

This test of prediction is used if you have MANY PREDICTORS predicting ONE FACTOR

A

Multiple regression

33
Q

This test of prediction is used in FACTOR ANALYSIS

A

Multiple regression

34
Q

This test of prediction is used if you are FILTERING a SERIES of predictors to look for the best predictor

A

Stepwise regression

35
Q

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

A

Standardized regression coefficients

36
Q

This is also used in FACTOR LOADING

A

Standardized regression coefficients

37
Q

A PARAMETRIC test that COMPARES groups of participants that aren’t related (independent) in any way

A

Independent samples t-tests

38
Q

Independent samples t-tests is sometimes called

A

Between subjects design

39
Q

A PARAMETRIC test that COMPARES groups of participants that are RELATED in some way

A

Paired samples t-test/dependent samples t-test/repeated measures design

40
Q

When participants in the first group are the same participants in the second group, this is PARAMETRIC COMPARATIVE TEST will be used

A

Repeated measures design

41
Q

Also known as the f-test

A

One-way ANOVA

42
Q

A PARAMETRIC test if you have TWO LEVELS (treatments/conditions) of a SINGLE IV

A

One-way ANOVA

43
Q

A PARAMETRIC test if you have TWO IVs having TWO OR MORE CONDITIONS

A

Two-way ANOVA

44
Q

A PARAMETRIC test that needs ONE CATEGORICAL IV and a CONTINUOUS DV

A

Repeated measures ANOVA

45
Q

A PARAMETRIC test like one-way ANOVA but for RELATED/DEPENDENT GROUPS

A

Repeated measures ANOVA

46
Q

The extension of a DEPENDENT T-TEST/repeated measures design

A

Repeated measures ANOVA

47
Q

Repeated measures design is also called

A

Within-subjects ANOVA or ANOVA for correlated samples

48
Q

This is used when the ANOVA is significant and you want to know which conditions have the SIGNIFCANT DIFFERENCE

A

Post-hoc tests

49
Q

How do post-hoc tests compare conditions?

A

Two at a time

50
Q

The post-hoc test used for one-way ANOVA/between groups

A

Scheffe post-hoc

51
Q

The post-hoc used for two-way ANOVA/among groups

A

Tukey post-hoc

52
Q

This NON-PARAMETRIC TEST is used to determine and significant difference between the EXPECTED FREQUENCIES and the OBSERVED FREQUENCIES

A

Chi-square tests

53
Q

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

A

Chi-square goodness of fit

54
Q

This NON-PARAMETRIC TEST is used to know the difference between two populations that are HOMOGENOUS in some characteristics

A

Chi-square of homogeneity

55
Q

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

A

Pearson chi-square test

56
Q

The pearson chi-square test is also known as

A

chi-square of correlation

57
Q

Considered the nonparametric alternative to the independent t-test

A

Mann-Whitney U test

58
Q

Non-parametric equivalent of the paired samples t-test

A

Wilcoxon test

59
Q

Non-parametric equivalent of one-way independent measures ANOVA

A

Kruskal-Wallis H test

60
Q

Non-parametric alternative for one-way repeated measures ANOVA

A

Friedman test

61
Q

Formula for Z score

A

X1 + x bar / SD

62
Q

Basic statistics is divided into two:

A

Descriptive and Inferential

63
Q

The 3 requirements of a parametric test

A

1) Normally distributed
2) Homogenous variance
3) Interval or ratio data

64
Q

The 3 requirements of a non-parametric test

A

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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