Study 1 . A psychologist was interested in evaluating if caffeine improved recall of nonsense words in
Study 1 .
A psychologist was interested in evaluating if caffeine improved recall of nonsense words in University students. A study was designed in which half the class were given a placebo before listening to lists of word and the others half were given a high dose of caffeine before listening to the same lists.
Both groups were asked to immediately recall as many items as they could from each list. Below are proportions for each group.
The table below outlines the data collected in that study
Table one Drink and Recall
| Drink Type | List proportions recalled |
| No Caffeine | 24 |
| No Caffeine | 38 |
| No Caffeine | 44 |
| No Caffeine | 40 |
| No Caffeine | 50 |
| No Caffeine | 50 |
| No Caffeine | 50 |
| No Caffeine | 19 |
| No Caffeine | 28 |
| No Caffeine | 23 |
| No Caffeine | 22 |
| No Caffeine | 34 |
| Caffeine | 55 |
| Caffeine | 65 |
| Caffeine | 65 |
| Caffeine | 72 |
| Caffeine | 78 |
| Caffeine | 68 |
| Caffeine | 65 |
| Caffeine | 78 |
| Caffeine | 32 |
| Caffeine | 56 |
| Caffeine | 60 |
| Caffeine | 34 |
- Input these data into SPSS, assigning appropriate variable names, labels, and value labels.
- What would a null hypothesis be? (write in your answer) 2 marks
- What would an alternative hypothesis be? (write in your answer) 2 marks
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Given your understanding of the design and the type of measurement variable produce an appropriate analysis: Your analysis should
- include descriptive statistics,
- bar chart of the data
- an inferential analysis
All of these section should have an interpretation.
Report and interpret all of those elements for the reader using standardised APA formatting (26 marks).
Study 2.
A Psychologist was interested in the use of memory improvement techniques on the ability of learner drivers to remember the Highway Code. The performance literature predicts that "mnemonic techniques" should provide the greatest improvement in performance. A set of leaner drivers were randomly split into one of three groups, one group used general rehearsal techniques (RT) another number rhyme mnemonic (NRM) and the third used the Journey Technique (JT). They completed a set of driving and putting tests and the cumulative accuracy of their strokes calculated.
| RT | JT | NRM |
| 65 | 45 | 86 |
| 68 | 43 | 81 |
| 69 | 55 | 92 |
| 85 | 42 | 67 |
| 84 | 43 | 88 |
| 69 | 48 | 89 |
| 72 | 51 | 77 |
| 73 | 52 | 81 |
| 69 | 53 | 92 |
| 81 | 54 | 83 |
| 68 | 56 | 81 |
| 68 | 49 | 76 |
| 73 | 52 | 81 |
| 69 | 53 | 92 |
| 81 | 54 | 83 |
| 68 | 56 | 81 |
Enter the data into SPSS
Q1. What design does this study utilise? Explain your reasons for choosing that design ( 2 marks)
Q2. What is the study’s likely hypothesis? Is it one tailed or two tailed? Justify your answer (4 marks) .
Q3. a) Obtain measures of central tendency and dispersion for all three conditions. b) What do those measures suggests about the data patterns? (8 marks)
Q4. Obtain a box plot for all three conditions. Based on the information in the box plot speculate on the likelihood of finding a significant effect.
Insert Boxplot (3 marks)
Describe the Data Pattern in the boxplot (5 marks)
Q5. Analyse the data set using an appropriate inferential test (13 marks).
Use APA format to report the analysis and any subsequent post hoc analysis . Finally interpret those findings for the reader.
Study Three
A study was designed to test the idea that the eyewitness are less susceptible to post event information if they are allowed to describe the events freely before police are allowed to ask direct question about the event and if it interacts with the amount of co-witnesses Participants were assigned to a free recall or questioned conditions, they were then questioned alone or in groups of 5 or 10
The study predicted that free recall and group size would interact. The amount of misinformation generated was utilised as the DV.
Raw data is contained below.
| Alone | Group 5 | Group 10 | |||
| Free Questioned | Free Questioned | Free Questioned | |||
| 98 | 55 | 85 | 62 | 55 | 53 |
| 85 | 56 | 78 | 58 | 56 | 52 |
| 86 | 33 | 68 | 48 | 54 | 54 |
| 92 | 42 | 72 | 51 | 52 | 55 |
| 90 | 52 | 76 | 47 | 53 | 58 |
| 91 | 48 | 72 | 52 | 57 | 60 |
| 85 | 37 | 68 | 54 | 59 | 55 |
| 86 | 38 | 70 | 41 | 56 | 51 |
| 87 | 42 | 72 | 42 | 57 | 57 |
| 88 | 56 | 73 | 41 | 58 | 48 |
Your task is to take this data and analyse it using the appropriate statistical tests and to write in your answers to each question, justifying each answer when requested.
Q1(a). Provide means, standard deviation and standard errors for each condition (write in your answer s and interpret those for the reader: 8 marks).
Q2. Obtain a boxplot (attach it to your submission), based on that boxplot speculate where you think the differences may be in the data set (justify your answer : 8 marks ).
Q3. Carryout the appropriate statistical analysis of the data. (10 marks)
Using APA reporting convention report the effects. Write in your answer
Q3b. Are there any significant effects ( Justify your answer )? (9 marks)
Deliverable: Word Document
