1. Psychology research methods– Analysis Portfolio Taylor Rodgers B00257487

2. Study 1: Data entry Uses a one way between groups design
Each participant is subjected to only 1 condition
Hypothesis: this study hypothesises that there will be a significant difference in the identification score of those in the Task specific rehearsal (TSR) group when compared to the other techniques.
Independent variable: Identification technique group, 3 levels: General mnemonic imagery (GMI), Situation perspective (SP), Task-specific rehearsal (TSR)
Dependant variable: identification score
A one way between groups ANOVA carried out
This statistical test is used to compare differences in means from two or more groups within a single variable design.
Week 8 – Slide 13

3. Study 1: Descriptive statistics
Highest mean is TSR (83.58), middle mean is GMI (56.58) and the lowest mean is for the SP group.
The standard deviations suggest that the data spread is fairly steady across each group.
These mean differences suggest that the participants in the TSR group may perform significantly better than those in the other conditions.
Week 8 – Slide 14

4. Study 1: Inferential analysis
One way ANOVA with Tukey Post hoc comparison was conducted.
A one way between subjects ANOVA was used to test for differences in identification score between the different techniques of identification (GMI, SP and TSR).
There was a significant main effect of identification score across the three groups, F(2,33)= , p<0.001.
Tukey post hoc comparisons of the groups indicate that TSR resulted in a significantly higher identification score than GMI (27, p<0.001) and SP (49.6, p<0.001). GMI was also significantly higher in identification score than SP (22.58, p<0.001).
These results suggest that the null hypothesis can be rejected and that task specific rehearsal (TSR) is the most effective memory technique.
Week 8 – Slides 15-17

5. Study 2: Data entry Utilises a two way between groups design
Each participant is subjected to only 1 condition
Hypotheses:
1. There will be a significant main effect of the credibility of the type of witness on the amount of misinformation recalled
2. There will a significant main effect for the type of witness statement on the amount of misinformation recalled.
3. There will be a significant interaction between the credibility of the witness and the statement accuracy on the amount of misinformation recalled.
Independent variables: Accuracy, (2 levels: accurate, inaccurate) and credibility, (3 levels: high, low, neutral)
Dependent variable: Recall score
A 3x2 two way between groups ANOVA was carried out
Week 9 – Slide 3

6. Study 2: Descriptive statistics
Highest mean score for accurate group is high credibility (88.8), the highest mean score for inaccurate group is neutral credibility (53.6). The lowest mean score for accurate group is neutral credibility (55.7). The lowest mean score for inaccurate group is high credibility (45.9).
The standard deviation for the accurate group (2.2) and inaccurate group (3.6) within the neutral credibility condition is lowest when compared with the accuracy of the high and low credibility conditions.
The line graph indicates that the difference between the accurate and inaccurate groups for the high credibility condition is significantly higher than the difference between the accurate and inaccurate groups for the low credibility condition. The means for both accurate and inaccurate groups within the neutral credibility condition have the lowest difference when compared.
These results suggest that the accuracy of recall scores are heavily influenced by credibility as the neutral credibility condition produced the lowest standard deviation and are therefore more likely to be reliable whereas both high and low credibility groups showed significant variance in accuracy.
Week 9 – Slide 13

7. Study 2: Inferential analysis
Two Way between subjects ANOVA was conducted
A 3x2 two-way between groups ANOVA was conducted to explore the impact of credibility and accuracy on recall scores. Subjects were divided into three credibility groups (high, low, neutral) and were given either an accurate or inaccurate statement, with six experimental conditions in total. The interaction effect between credibility and accuracy were statistically significant, F(2,54) = 66.5, p< There was a statistically significant main effect for credibility F(2,54) = 25.7, p<0.001 and for accuracy, F(2,54) = 256.6, p<0.001.
These results support the hypothesis that there will be a statistically significant main effect of credibility and for accuracy. Also the hypothesis that there will be a significant interaction between accuracy and credibility is supported by these results.
Week 9 – Slide 15 & 17

8. Study 3: Data entry
Hypothesis: Age, extroversion and number of selfies will be significant correlated, age and extroversion will significantly predict a proportion of the variance in the number of selfies posted.
Uses a standard multiple regression technique.
Regression is used in this study to test the predictive power of age and extroversion on the number of selfies posted and to investigate the correlation between these three variables.
Variables investigated: Age, extroversion score, number of selfies.
Independent variables: Age, extroversion score.
Dependent variable: Number of selfies.
Week 10 – Slide 14 & 15

9. Study 3: Descriptive statistics
The scatterplot matrix suggests that a significant positive correlation exists between all three variables of age, extroversion score and selfie count. A weakly significant, positive correlation exists between age and selfie count (R=.234, p>0.05); and a strong significant, positive relationship also exists between extroversion score and selfie count (R=.671, p<0.001).
Week 10 – Slide 16

10. Study 3: Inferential analysis
Number of selfies was regressed on two independent variables (age, extroversion score) using the enter method. The results were significant F(2,37)= 15.2, p< Multiple R was found to be with adjusted R square = This indicated that 42.2% of the variance in number of selfies was accounted for by the two independent variables of age and extroversion score. As you can see from Table 1, age and extroversion score each independently predict number of selfies taken.
The results of this study suggest that all three variables of age, extroversion score and number of selfies are significantly correlated, however age cannot be used as a strongly reliable predictor of selfie count. The hypothesis for this study is partially supported.
Week 10 – Slides 17 & 18
Table 1
Variable
Beta t p
Age
-.039
-.296
.769
Extroversion Score
.687
5.177
.000