5 - Statistics Cheat Sheet Flashcards

1
Q

Which pre-experimental designs are there?

A
  • One-Shot Case Study
  • One-Group Pretest-Posttest Design
  • Static-Group Comparison
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2
Q

Which true-experimental designs are there?

A
  • Pretest-Posttest Control Group Design
  • Solomon Four-Group Design
  • Posttest-Only Control Group Design
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3
Q

What are the 8 sources for internal invalidity?

A
  • History
  • Maturation
  • Testing
  • Instrumentation
  • Regression
  • Selection
  • Mortality
  • Interactions between these
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4
Q

What are the 4 sources for external invalidity?

A
  • Interaction of Testing and X
  • Interaction of Selection and X
  • Reactive Arrangements
  • Multiple X-Interference
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5
Q

What different data can you have for “analysis of differences”?

A
  • Normally distributed metrical data
  • Not normally distributed metrical data
  • Ordinal data
  • Nominal data
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6
Q

What method would you use to compare the mean value of a sample with a determined (test) value?

A

One-sample t-test

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7
Q

What method would you use to compare the means of two independent samples?

A

Independent Samples t-Test

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8
Q

What method would you use to compare the means of n independent samples?

A

One-Way ANOVA, if the variances of the samples are not homogeneous -> Welch Test

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9
Q

What method would you use to compare the means of two dependent samples?

A

Paired Sample t-Test (two different outputs for samples with and without homogeneous variances)

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10
Q

What method would you use to compare the means of n dependent samples?

A

Repeated Measures in „General Linear Model“

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11
Q

What methods are there for not normally distributed metrical data?

A

Mann-Whitney Test, Kolmogorov- Smirnov Test, Wilcoxon Test

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12
Q

With ordinal or nominal data, how can you compare the empirical distribution with some theoretical distribution?

A

Chi – Square Test

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13
Q

With ordinal data, how can you compare two independent Samples?

A

Mann-Whitney Test, Kolmogorov- Smirnov Test

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14
Q

With ordinal data, how can you compare two dependent Samples?

A

Wilcoxon Test

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15
Q

With nominal data, how can you compare two or more independent samples?

A

Chi – Square Test of Independency (Crosstabs)

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16
Q

How can you analyze interrelationships for metrical (linear) relationships?

A

Pearson correlation, linear regression models

17
Q

How can you analyze interrelationships for metrical (non-linear) relationships?

A

Nonlinear regression models

18
Q

How can you analyze interrelationships for dichotomous and metrical data?

A

Logistic Regression, multinomial logistic regression