writing up the stats tests

Question 1

simple regression

Answer 1

• A simple regression was carried out to investigate the relationship between…
• Significant, variance, adjusted r^2, f stat and the p value
• Significance of the predictor, b stat, standard error, p value and the confidence intervals

Question 2

multiple regression

Answer 2

A multiple regression was conducted to investigate…
The regression model was significant/not significant
Variance, adjusted R2, F statistic, p value
For each predictor: significance, B statistic (standard error), p values, confidence intervals

Question 3

hierarchal regression

Answer 3

A hierarchical regression analysis was used to predict…
In step one we added (variables)
In step 2 we added (variables)
The overall model was (significance) and predicted % of variance (adjusted R2, F stat, p value)
Step 1 significance and variance (R2 change, F change, p value)
Step 2 significance and variance (R2 change, F change, P value)
Each individual predictor- significance (Beta value and p value)

Question 4

mediation

Answer 4

• significance, association and direction, b stat, standard error, p value (A PATH)
• significance, association and direction, b stat, standard error, p value (B PATH)
• mediation package in R (Tingley et al., 2014) with 1000 bootstrap simulation was used to investigate the mediated effects
• total effect of IV on DV: significance, (T, CI, p value)
• indirect effect through the mediator: significance, (ACME, 95% CI, p value)
• direct effect significance (ADE, 95% CI, p value)
• explain the results: this suggests that…
• proportion of total effect mediated signfificance (PM, 95% CI, p value) and then percentage

Question 5

Simple between subjects ANOVA

Answer 5

• a one way ANOVA was conducted to compare the effect of…
• significance (F stat, p value, np2)

post hoc tests (non directional)
- Bonferroni adjusted post hoc tests demonstrated: significance of each predictor combinations (mean, standard deviation, p value) FOR ALL COMBOS

planned comparisons (directional)
- planned comparisons demonstrated: significance (t-degrees of freedom, p value, d-effect size) FOR ALL COMBOS

Question 6

repeated measures ANOVA

Answer 6

Non directional:
- a linear mixed effects model was conducted to compare the effect of the IV on the DV
- significance, (F, p value, np2)
- Bonferroni adjusted post hoc tests demonstrated: significance, mean standard deviation and p value for all combos

Directional:
-a linear mixed effects model was conducted to compare the effect of the IV on the DV
- significance, (F, p value, np2)
planned comparisons (directional)
- planned comparisons demonstrated: significance (t-degrees of freedom, p value, d-effect size) FOR ALL COMBOS

Question 7

complex within subjects ANOVA

Answer 7

• a linear mixed effects model was conducted to compare the effect pf
• significance of main effect of IV 1 on DV: F, p value, np2
• significance of main effect of IV 2 on DV: F, p value, np2
• interaction of both of them on the DV: F stat, p value, np2
• post hoc tests demonstrated: significance, man standard deviation , p value FOR ALL COMBOS

Question 8

mixed ANOVA

Answer 8

• a linear mixed effects model was conducted to compare the effect pf
• significance of main effect of IV 1 on DV: F, p value, np2
• significance of main effect of IV 2 on DV: F, p value, np2
• interaction of both of them on the DV: F stat, p value, np2
• post hoc tests demonstrated: significance, man standard deviation , p value FOR ALL COMBOS

Question 9

complex between subjects ANOVA

Answer 9

• a two way between subjects ANOVA was conducted to compare the effect of IV and IV 2 on DV
• main effects of both IVs significance (F, p value, np2)
  interaction on both of them on DV significance (F, p value, np2)
• post hoc tests all combos significance (mean, standard deviation and p value)