Using SPSS analyse and report the given data and hypotheses

Order Description

BEWARE: Lots of different and complicated testings and analysis with SPSS will be required for each measure, scale and questionnaire. A total of 7 different hypotheses will have to be tested and reported! So a very good understanding of SPSS is very important!

You’ll have to analyse given data in the most appropriate way while using SPSS and report it in APA style. You will find all the necessary research details, hypotheses and data itself in the attachments (All of the hypotheses are listed at the end of this description as well!).

-Demographics, sex and age questionnaire
-Prosocial Tendencies Measure (PTM) test (23 questions with 6 subscales)
-Identification with All Humanity scale (IWAH)
-Four different Scenarios (A to D)
-The fixed-response Likert-type social identity measures for British identification
-and (similar to above) fixed-response Likert-type social identity measures for European identification

The study was Mixed measures experimental design with two independent variables:
• Timing for task completion (intuition/reflection)
• Intended target group (in-group/outgroup).
Dependent variable:
• Likelihood of prosociality towards in-group and outgroup on different timing scales.

The study is intended to test the prosociality towards in-group and out-group members.
The study had fallowing steps:
1. After recruiting process participants was randomly allocated to either intuitional or reflective group.
2. Information sheet was given to introduce participants to the purpose of the study.
3. Consent form was given for participants to sign as to confirm their participation.
4. Participants were then asked to fill in a short questionnaire containing demographic information such as gender, age and ethnicity.
5. Four different Scenarios (A to D) was given to measure the extent of willingness to help an in-group (Scenario C and D) and outgroup (Scenario A and B) members.
6. Prosocial Tendencies Measure (PTM) was then administered to assess the participants’ prosocial behavioural tendencies.
7. Identification with All Humanity scale (IWAH) measure was given to assess the degree to which someone identifies with “all humans everywhere” (“identifying” includes things like feeling love toward, feeling similar to, and believing in), independent of how much they identify with people in their own community and country.
8. The amended seven fixed-response Likert-type social identity measures designed by Cinnirella (1997) were used to measure the levels of British and European identity.
9. Participants were thanked and their data registered.


H1: Participants under intuitive conditions will be more likely to act prosocialy in comparison to reflective group.
H2: Participants under reflective conditions will be more prosocial towards the members of in-group than outgroup.
H3: The high overall score in Prosocial Tendency Measures will have a positive impact on persons prosociallity towards ingroup and outgroup members.
H4: Those who scored highest in Emotional, Altruism and Compliant subscales of Prosocial Tendency Measures will predict a higher overall prosociality towards in-group and outgroup members than people who scored highest on Public, Dire and Unanimous subscales.
H5: IWAH scale will predict an equal or similar prosociality level towards in-group and outgroup members.
H6: British identification will positively predict in-group helping.
H7: European identification will positively predict outgroup helping.

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