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PDAM #4
| Question | Answer |
|---|---|
| How to compare 2 DIFFERENT sample groups with SAME measure relation to nature of dependent variable (3) | 1, Nominal >> χ2 Test 2, Ordinal >> Mann-Whitney U Test 3, Continues >> Independent T-Test |
| How to compare more than 2 DIFFERENT sample groups with SAME measure in relation to nature of dependent variable (3) | 1, Nominal >> χ2 Test 2, Ordinal >> Kruskal-Wallis One-Way ANOVA 3, Continues >> One-Way ANOVA |
| What is independent and dependent variable | independent variable = grouping /cause /predictor dependent variable = outcome / what we measure |
| What is number of degree of freedom when executing χ2 Test | d.f. = (Nr. of Rows - 1) * (Nr. of Columns -1) |
| What is row and column | . . . . . . . row . . . . . . column |
| What is formula of χ2 Test | χ2= ∑ (O-E)²/ E |
| What does statistical significance and not significance in terms of χ2 Test | χ2 significant = variables are dependent χ2 not significant = variables are not dependent |
| What are 3 assumptions for a χ2 test | 1, observation are independent 2, categories are mutually exclusive (observation cannot be multiple categories or overlapping) 3, in each table there should be at least 5 observation (in a lot of table max 20% of boxes under 5) |
| How can after χ2 test relationship be measured (2) | 1, 2x2 Tables >> Phi (φ) 2, Larger >> Cramer´s V |
| How is the level of relationship in Phi (φ) and Cramers V measured | 0 >> no relationship 1 >> perfekt relationship |
| What is "rule of thumb" in relationship measurement for χ2 test (3) | 1, odds ratio 2. odds ratio = Odds option x "yes vs no" / Odds option y "yes vs no" 3, interpretation >> something is xmore likely that y |
| What does SPSS in χ2 in default (2) | 1, if minimum expected values in cells is violated (<5 or small sample size) it uses Exact Fisher Test 2, otherwise Pearson χ2 test |
| What are 3 assumption for independent sample t-test | 1, Independent observation 2, Normal Distribution ( K-S test for Skewness-Kurtosis) 3,Homogeneity of variance (across samples) |
| What is process doing independent sample t-test (3) | Step 1 - Check assumption Step 2 - calculate t-test (significant or not) Step 3 - calculate effect size |
| What are hypothesis in independent sample t-test | H0 = Groups do not differ H1 = Groups differ |
| What is standart error of difference in independent sample t-test (2) | 1, SE= sp √ (1/n1 + 1/n2) 2, sp² = (n1-1)s1² * (n2-1)s2² / (n1+n2-2 ) |
| What is the independent sample t-test formula | t= (x̄1 - x̄2) / sp√ (1/n1 + 1/n2) |
| How to calculate Pearson r for independent sample t-test | r = √ t²/(t²+df) |
| How to calculate Cohens d for independent sample t-test | d= x̄1 - x̄2/√ (s1²+s2²)/2 |