1. Analysis, Interpretation and Reporting Portfolio
Emma Faulds B
Psychology Research Methods
University of the West of Scotland

2. STUDY 1 – DATA ENTRY Between Subjects Design
Three conditions and each participant took part in only one condition.
One Way ANOVA
EVIDENCE – Week 3 Lecture on Moodle.
STUDY 1 – DATA ENTRY

3. DESCRIPTIVE STATISTICS Mean and Standard Deviation Graph
Memory Technique
Mean
Standard Deviation
GMI
56.58
5.04 SP
34.00
6.88
TSR
83.58
7.14
Total
58.10
21.48
Task Specific Rehearsal (TSR) has the highest mean, then it decreases to General Mnemonic Imagery (GMI) and the lowest mean is Situation Perspective (SP).
The Standard Deviation that the distribution is of slight equal distances.
Since the mean and Standard Deviation is higher for TSR, this is suggesting that TSR will show to be the most significant memory technique.

4. Inferential Statistics
Table 1
One Way ANOVA with Bonferroni Post hoc Comparison.
APA Formatted Output
A one way between subject ANOVA was conducted and showed that there was a significant difference in recall scores for all three memory techniques (F(2,33)= , P<0.001.
Bonferroni Post hoc analysis was conducted and showed that TSR was significantly higher GMI (27, P<0.001 and SP (49.58, P<0.001). Finally, GMI is significantly higher than SP (22.58, P<0.001).
These results show that the most effective memory technique is Task Specific Rehearsal. These results also reject the null hypothesis.
Table 2

5. Data Entry Study 2 Between-Subjects Design
Each participant took part in one of six conditions.
3 by 2 Between Subject Design ANOVA
Evidence: Week 7 Lecture on Moodle.

6. Descriptive Statistics and Graphing
All accurate credibility scores have a higher mean compared to the inaccurate credibility scores. The standard deviation for accuracy and credibility is fairly evenly distributed.
This suggests, that accuracy and credibility are going to have a strong significant interaction.

7. Inferential Statistics
2 Way ANOVA with a Bonferroni post hoc comparison.
APA Format:
A 2 way ANOVA with accuracy (accurate and inaccurate) and credibility (high, low and neutral) as between subjects factors, revealed a main effect of accuracy, F(1,54) = 256.6, p<0.001 and credibility, F(2,54) = 25.71, p< These main effects were qualified by an significant interaction between accuracy and credibility, F(2,54) = 66.53, P<0.001.
Post hoc Bonferroni showed a significant interaction in credibility, high (m = 67.35, SD = 22.96), low (m = 61.15, SD = 13.99) and neutral (m = 54.65, SD = 3.10).
This rejects the null hypothesis.

8. Data Entry Study 3 Correlational Data Multiple Regression
Evidence – Lecture 10 on Moodle
Data Entry Study 3

9. Descriptive Statistics
A Pearson’s Correlation was used to explore the relationship between age, extraversion score and the amount of times a selfie was posted on Instagram. It was found that age and extraversion score were positively correlated, r(38) = 0.397, p<0.05, age and amount of times a selfies posted on Instagram were not positively correlated r(38) = 0.234, p>0.05 and extraversion score and amount of selfies posted on Instagram were positively correlated, r(38) = 0.671, p<0.001.
This suggest that extraversion can be used to predict the amount of selfies posted on Instagram.

10. Inferential Statistics
Multiple Regression
APA Format:
A multiple regression was carried out to test if age and extraversion score predicted the number of selfies posted on Instagram. The results showed the two predictors explained 45.2% of the variance F(2,39) = 15.24, P< The regression equation showed the best fitting line was amount of selfies posted on Instagram = x extraversion score.
This does not fully reject null hypothesis as only extraversion can be used as a predictor for the amount of selfies posted on Instagram.