Effectiveness of Celebrity Endorsements for Non-Profit Organization

ASSIGNMENT COVER SHEET Every piece of written work you submit for assessment must have this cover sheet attached. Please type in your details then copy and paste to the front of your assignment and save the file ready to upload. COURSE DETAILS Course Code: RBUS2900 Course Co-ordinator: Dr. Ravi Pappu Course Name: Business Research Methods Assignment No: 2B Assignment Due Date: 28/05/2012 STUDENT CONTACT DETAILS Student Number: James Jun Qiang Low Ng Han Siong Derrick Bram Wijaya Peng Yang Cheng Student Name: 42683346 42485184 42734480 42602600 Email Address: Low. [email  protected] com Derrick. [email  protected] com [email  protected] com [email  protected] com Work submitted may be subjected to a plagiarism detection process. If this process is used, then copies of this work would be retained and used as source material for conducting future plagiarism checks. Due Date: 28/05/2012 Submitted date: 27/05/2012 RBUS2900 Business Research Methods Assignment 2B Tutorial report Co ver sheet Student ID 42683346 42485184 42734480 42602600 Low Ng Wijaya Cheng James Jun Qiang Han Siong Bram Peng Yang WEDNESDAY, 12pm – 1pm T27 Assignment 2B TOM MAGORSurname Given name Tutorial date & time Tutorial group (e. g. T24: G1) Assignment Number Tutor’s name Time Tutor T6 Wed 12-1 Teegan T10 Wed 10-11 Teegan T14 Wed 1-2 Kim Tutorial T15 T16 Wed Wed 8-9 9-10 Tom Teegan Tutorial T24 T25 Thu Thu 11-12 3-4 Max Max T18 Wed 4-5 Kim T19 Wed 5-6 Kim T20 Tue 2-3 Kim Time Tutor T21 Tue 8-9 Rahil T22 Tue 9-10 Rahil T23 Tue 2-3 Rahil T26 Tue 12-1 Tom T27 Wed 12-1 Tom T28 Mon 10-11 Max RBUS2900 Business Research Method Assignment 2 Part B RBUS2900: BUSINESS RESEARCH METHODS Effectiveness of Celebrity EndorsementsFor Non-Profit Organization James Jun Qiang Low Ng Han Siong Derrick Bram Wijaya Peng Yang Cheng 5/28/2012 This is a research plan on how different celebrity related factors influence donor/volunteer perceptions of the non-profit organization endorsed. RBUS2900 Bu siness Research Method Assignment 2 Part B EXECUTIVE SUMMARY This proposal is written to address the concerns of PeTA in investigating the effect that celebrity endorsers have on the organisation that they endorse. In particular, three aspects of the celebrity will be analysed.Firstly, due to the high number of advertisement used by PeTA that feature near nude celebrities, this paper will analyse how does the physical attractiveness of a celebrity influence a consumer’s perception of the organisation. Secondly, as many of these celebrities are seen to endorse multiple brands, it would be beneficial for PeTA to study how does over endorsement influence the perception consumers have of PeTA. Lastly, it is proposed that should consumers perceive that celebrities are being paid for their work endorsing PeTA, it would lead to a negative effect on the perception of the organisation.It is also proposed that age, gender and education level will each have a moderating effect on the re lationship that exist between each variable and the perception of PeTA. Based on the research objective, it is proposed that the most suitable research method is a pretest-posttest control group experiment whereby negative information about a celebrity’s over endorsement and income from the endorsement will be controlled and provided and the effects of this information will be analysed. This method was chosen as it allows for an isolation of the subjects into specifically just experiencing the experimental conditions.A control group allows for a more accurate detection of changes. Respondents will be selected via simple random sampling from a telephone book used as a sampling frame. The results of the experiment will then be tested using SPSS. Specifically, descriptive statistics, factor analysis, paired samples t-test and multiple regression analysis will be utilised to produce the results. Due to the need to establish cause-and-effect in the experiment, it is proposed that multiple regression analysis would be most suitable.This technique, coupled with theory, will be able to provide PeTA with a good picture of whether perception of a celebrity endorser will have an impact on the perception of the organisation. RBUS2900 Business Research Method Assignment 2 Part B Table of Contents 1. INTRODUCTION †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 1 1. 1 1. 2 2. 1 2. 2 2. 3 2. 4 2. 5 3. 1 3. 2 3. 3 3. 4 Problem statement and Research Objectives †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ Importance †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 2 Perception of the organisation (Dependent variable)†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 3 Attractiveness (Independent variable 1)†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 3 Over-endorsement by celebrity (Independent variable 2) †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 4 Perceived celebr ity income from endorsement (Independent variable 3) †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ Moderating variables †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 6 Research design†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 7 Research method †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 7 Sampling design †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ Data collection †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 9 Ethics †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 9 Data collection method †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 10 Figure 1 – Relationship Model Diagram †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 2. HYPOTHESES DEVELOPMENT †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢ € ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 3 3. RESEARCH METHODOLOGY †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 7 3. 4. 1 3. 4. 2 Figure 2 – Pretest-Posttest Group Experiment Method †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 10 Figure 3 – Survey: Total error diagram †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 2 Table 1 – Survey errors encountered †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢ € ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 13 3. 5 Measurement (Please refer to appendix 2 for survey questions) †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 13 Perception of organisation (Dependent variable)†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 13 Attractiveness (Independent variable) †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 14 Over-endorsement of celebrity (Independent variable) †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 4 Perception of income from endorsement (Independent variable) †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 14 3. 5. 1 3. 5. 2 3. 5. 3 3. 5. 4 4. 1 4. DATA ANALYSIS†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 15 Procedure†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 15 Descriptive statistics†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚ ¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 5 Factor analysis†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 15 Paired sample T-test †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 16 Multiple regression analysis †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 16 Factor analysis†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 7 Paired samples t-test †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 17 4. 1. 1 4. 1. 2 4. 1. 3 4. 1. 4 4. 2 4. 2. 1 4. 2. 2 Expected results †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 17 RBUS2900 Business Research Method Assignment 2 Part B Figure 4 – Sample paired t-test results †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 18 4. 3. 3 4. 3. Multiple regression analysis †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 18 Discussion of outcomes †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 18 References †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 20 APPENDIX †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 3 Appendix 1 †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã ¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 23 Table 1a Table 1b Table 1c Table 1d Appendix 2 Appendix 3 Conceptual definitions †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 23 Hypotheses †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 4 List of measures †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 25 Data analysis techniques †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 26 Measurement instrument (Survey) †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 27 Schedule †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 1 RBUS2900 Business Research M ethod Assignment 2 Part B 1. INTRODUCTION 1. 1 Problem statement and Research Objectives People for the Ethical Treatment of Animals (PeTA) is the largest animals rights organisation in the world with more than three million members and supporters. It uses a variety of avenues to bring forward its campaign and one of them is through the use of celebrity endorsements. (PeTA, 2012) As a result, there is a need to analyse the effectiveness of celebrity endorsement in furthering the agenda of PeTA.In particular, due to the vast differences in types of celebrities as well as industries that the celebrities are based in, consumers may have a different perception of these celebrities as well as the organisation that is being endorsed. As such, a negative perception of a celebrity and his/her industry may result in transference of negative perception to the organisation being endorsed. (White, Goddard & Wilbur, 2009) This is especially applicable to PeTA who endorses celebrities that come f rom many different industries and each celebrity varies in terms of social standing as well as reputation.As such, an investigation into the effects of celebrity perception resulting in negative information transference to the endorsed organisation will be most suitable to be undertaken for research by PeTA. Based on the problem stated above, there is a need to investigate the various aspects of a celebrity and its effect on PeTA as the endorsed organisation. Three independent factors have been established that form the perception of a celebrity and the dependent variable of the endorsed organisation. (Please refer to figure 1) RBUS2900 Business Research Method Assignment 2 Part B 1 Figure 1 – Relationship Model Diagram 1. Importance The importance of this research study is to ensure a suitable fit between the celebrity and PeTA. This fit is determined by the perception of the celebrity and its effect on the perception of the organisation. By ensuring a good fit, PeTA will be able to focus more specifically on a target market that might have been otherwise unreachable due to the unsuitable fit between celebrity and PeTA. This is with the pretext that there is a positive correlation between perception of celebrity endorser and perception of organisation. RBUS2900 Business Research Method Assignment 2 Part B 2 . HYPOTHESES DEVELOPMENT 2. 1 Perception of the organisation (Dependent variable) Perception of the organisation is the dependent variable in the case of this study as it seeks to elaborate whether the below-mentioned independent variables will have an impact on the consumer’s perception of the organisation after they have been subjected to the exposure of the independent variables. A similar test conducted by Trimble and Rifon (2006), stated that the attitudes of the audiences toward a non-profit organisation increased when it was endorsed by a celebrity with a positive image.The variables mentioned below are similar in context with what Tri mble and Rifon have done but analyses different variables and will provide a different conclusion. 2. 2 Attractiveness (Independent variable 1) Attractiveness of a celebrity has always been a factor of consideration when selecting an endorser for a product. This is particularly the case when evaluating the celebrity endorsers that have been chosen by PeTA whereby physically attractive celebrities are chosen as endorsers. It is seen that physical attractiveness is able to facilitate attitude change (Baker & Churchill 1977; Caballero & Pride 1984; Chaiken 1986; Horai et al. 974; Joseph 1982; Kulka & Kessler 1978; Mills & Aronson 1965; Mills & Harvey 1972) However, not all research has demonstrated that it increases attitude change in that it causes the consumer to develop a positive perception of the product/organisation being endorsed. The Source Attractiveness Model, derived by McGuire (1985) in a study, suggests that similarity, familiarity and likeability of a celebrity endorser w ill determine their effectiveness in endorsing a product. This suggest contrary to the list of articles stated that the RBUS2900 Business Research Method Assignment 2 Part B 3 ttractiveness in the sense of likeability of a celebrity endorser can indeed increase the positive perception of the product/organisation that is endorsed. Hence, by studying the physical attractiveness of a celebrity endorser, especially in the light of how PeTA strongly uses physical attractiveness as an important consideration in selecting endorsers, it would be most suitable to study how the supposed perception of physical attractiveness of a celebrity will indeed affect the perception of PeTA.The hypothesis derived from this variable is as such: H1: The perceived physical attractiveness of an endorser will result in an increased positive perception of the endorsed organisation 2. 3 Over-endorsement by celebrity (Independent variable 2) Mowen and Brown (1981) in their analysis of the effectiveness of celeb rity endorsers have suggested that a natural occurrence from the vast number of products endorsed by celebrities is that some celebrities tend to endorse a number of products.While ideally, it is stated that endorsers should not be tarnished by their associations with other products (Foote, Cone & Belding 1978), having a â€Å"virgin† endorser would generally be highly expensive and such would not be practical. Hence, the issue of multiple endorsements by a celebrity is especially pertinent in this case because PeTA is seen to have endorsed many celebrities that might endorsed products that are contradictory to the nature of PeTA, which is to protect animals. This may cause a disparity in the perception consumers will now have over the endorsement of such celebrity of PeTA.Kaikati (1987) and Mowen and Brown (1981) have further substantiated that a celebrity endorser may be perceived to be less credible should the celebrity choose to endorse more brands and products. RBUS2900 Business Research Method Assignment 2 Part B 4 Hence, it is brought forth in the next hypothesis: H2: In situations whereby celebrities are seen to endorse multiple products that might be contradictory to the nature of the organisation, there will be a decrease in positive perception of the endorsed organisation. 2. 4 Perceived celebrity income from endorsement (Independent variable 3)When endorsing a product, celebrities are often paid for their services. This is very much accepted as a service rendered, is expected to be paid for. However, the issue in studying this is especially pertinent as by being paid, it is questionable whether that celebrity is truly endorsing the product out of genuine belief in the product or solely for the monetary benefit involved. In the case of PeTA and its endorsed celebrities, it would be especially appropriate as protection of animals is more often a lifestyle and not just the usage of a particular product.The celebrity endorsing the product is exp ected to believe in the protection of animals and not just for the monetary benefit involved. However, does this perception of being paid for the endorsement result in a related decrease of positive perception for the organisation endorsed? Correspondence Bias (Gilbert & Jones, 1986) refers to the observer’s exaggerated use of dispositional attributions, assumptions that the actor does what he does due to his internal dispositions.Kardes (1993) has related this to endorsement advertisements whereby consumers disregard the situational constraints such as the money being paid to the celebrity, due to correspondence bias and thus contributes to the effectiveness of endorsement advertisements. Cronley et al. (1999) found support for the above-mentioned theory in that participants of an experiment actually assumed that the endorser actually liked the product regardless of whether the endorser was paid or not.This was correlated to the participants’ attitudes toward the adve rtisement, the product and the endorser. RBUS2900 Business Research Method Assignment 2 Part B 5 However, a study conduct by Sorum, Grape and Silvera (2003), had opposite results to Cronley’s 1999 experiment. There was no correspondence bias found in the study. As such, it would be most appropriate the study the supposed effects of correspondence bias on the consumers who see the PeTA advertisements and whether there is a disregard of situational constraints much like in the experiment conducted by Cronley et al. 1999) The hypothesis put forth is thus: H3: The more a celebrity is perceived to be paid for the endorsement, the more negative the perception of the organisation. 2. 5 Moderating variables This study will utilise three moderating variables in the study of the effects of perception of the celebrity endorser in relation to the perception of the endorsed organisation. It is proposed that as age decreases, the effects of each independent variable on the dependent variab le will decrease as well due to the decreased perception of the consumer of the variability of the independent variables.The Selectivity Hypothesis (Putrevu, 2001) has suggested that gender differences in information processing emerge because men are more likely to be driven by overall message themes and women are more likely to engage in detailed elaboration of messages. Hence as a moderating variable, it can be seen that gender is expected to have a moderating effect on the independent variables. Lastly, a study by Daneshvary and Schwer (2000) has concluded that education level is seen to have an impact on perception of endorsement.Lower levels of education are more impressionable to association endorsements than individuals with a college education. Education provides individuals with analytical skills to decipher information and make an RBUS2900 Business Research Method Assignment 2 Part B 6 informed purchase rather than just relying on one source of information. As such, it can be said that education will have a moderating effect on the independent variables. 3. RESEARCH METHODOLOGY 3. 1 Research design The research design chosen for this study will be causal in nature as it seeks to understand the cause-and-effect relationships that exist.In particular, it will seek to explain the variance in the perception of the organisation, by analysing the independent variables involved and looking to infer theories and data analysis results to draw a conclusive cause of the variance in the perception of the organisation. As elaborated by Zikmund et al, â€Å"before causal studies are undertaken, researchers typically have a good understanding of the phenomena being studied. † (2010) Hence a causal design is selected due to the vast knowledge already in existence in terms of the literature on perception of an organisation as well as the perception of a celebrity endorser.However, little has been done to show any appropriate causation between the two variables especially one that is particular to the nature of a non-profit organisation. 3. 2 Research method Due to the nature of the research design, an experimental design of a pretest-posttest control group design will be used to explain the cause-and-effect relationship that is proposed between the independent and dependent variable. The subjects in the experimental group are tested before and after being exposed to the treatment. The control group will also be tested at both times but would not be subjected to the treatment.In using this design, Dimitrov and Rumrill Jr. have suggested three considerations in terms of validity of the design. The first two are pertinent to internal validation, which is the degree to RBUS2900 Business Research Method Assignment 2 Part B 7 which the experimental treatment makes a difference in the specific experimental settings and the third one is in consideration of external validity which is the degree to which the treatment effect can be generalised acr oss populations, settings, treatment variables and measurement instruments. (2003, p. 59) Maturation, an internal validity issue, occurs when biological and psychological characteristics of research participants change during the experiment, thus affecting their posttest scores. History, also an internal validity issue, occurs when participants experience an event that will affect their post-test scores. Whereas the interaction of pretesting and treatment, an external validity issue, happens when the pretest sensitises participants so that they respond differently to the treatment as they might have without the pretest. (Dimitrov & Rumrill Jr. , p. 60) Maturation and History will not be an issue for the conduct of our experiment as the time lapse between the pretest and posttest phase is negligible and thus should not allow for any changes in Maturation and History. To prevent the participants from becoming sensitised and perform the experiment differently from what they would have without the pretest, we are utilising a fictional situation in order to control the knowledge of the participants on the subject. Please refer to the Data Collection portion to gain a better understanding. 3. 3 Sampling designBased on the purpose of this research, the decisions resulting from this experiment will have many strategic managerial implications. As such, the target population would be defined as the entire population in the world of people who are of suitable age to donate to a non-profit organisation. As seen from the PeTA website (n. d. ), one of the means of donating would be through credit card deductions. As such, a suitable age group would be the minimum age RBUS2900 Business Research Method Assignment 2 Part B 8 group for owning a credit card, which is 18 years old.Hence the population would range from individuals of 18 years and above. Hence, the population in Australia will be subjected to a simple random sampling method to form the sample population. Chosen par ticipants are expected to be of a variety with differing age groups, gender and income level. As such, a sampling frame of the national telephone numbers in Australia will be used. Factors to consider when determining sample size are the confidence interval needed to predict the result and the amount of standard error permissible to estimate the population parameter.Hence, based on the formula provided by Zikmund et al. (2010, p. 435), with a confidence interval of 95 percent, range of error of 0. 5 and an estimated population standard deviation of 4. 0, we will have a minimum sample size of 246. 3. 4 Data collection 3. 4. 1 Ethics Before proceeding on with data collection, the group will have to keep in mind the ethical issues involved. As researchers, the group will have to be responsible to the people who are involved in this research. Our group will adhere to these select principles such as: a.Objectivity Strive to avoid bias in experimental design, data analysis, data interpret ation, peer review, personnel decisions, grant writing, expert testimony, and other aspects of research where objectivity is expected or required. Avoid or minimize bias or self-deception. Disclose personal or financial interests that may affect research. b. Honesty RBUS2900 Business Research Method Assignment 2 Part B 9 Strive for honesty in all scientific communications. Honestly report data, results, methods and procedures, and publication status. Do not fabricate, falsify, or misrepresent data.Do not deceive colleagues, granting agencies, or the public. c. Legality Know and obey relevant laws and institutional and governmental policies. d. Privacy Protect confidential communications, such as papers or grants submitted for publication, personnel records, trade or military secrets, and patient records. e. Nonmaleficence (principle of doing no harm) When conducting research on human subjects, minimize harms and risks and maximize benefits; respect human dignity, privacy, and autono my; take special precautions with vulnerable populations; and strive to distribute the benefits and burdens of research fairly.These are some of the principles that researchers should adhere to (Peter Steane, 2004; Shamoo A & Resnik D, 2009) 3. 4. 2 Data collection method Jack R. Fraenkel, Figure 2 – Pretest-Posttest Group Experiment Method 1993 In this design, the dependant variable will be measured before and after the treatment level is presented. This allows the researcher to compute the means for pretest and posttest and measure the difference (Millsap, 2009). A scenario-based study was chosen because this RBUS2900 Business Research Method Assignment 2 Part B 10 ethod allows for easier operationalising of the manipulations, providing more control over the variables (Dong, Evans & Zou 2008). We have identified that we will be using communication as the mean of obtaining primary data, specifically conducting a survey. We have chosen to conduct a survey due to the following criteria (Zikmund et al. , 2010): ? ? ? Questions asked for the tested variables are internal to the respondents. Survey provides the best versatility as the research contains different type of data.As this is a low budget research project, survey is the most efficient and economical data collection method. a. Pretest Written scenarios will be created for this experiment. In the first phase of the pretest, background information of a non-profit organization (PeTA) is provided. Twenty-six questions are then tested to analyse the perceived image of the organization. In the second phase of the pre-test, a celebrity endorser (Brad Pitt) will be introduced. Positive background information about the celebrity is then given. Twelve questions are then used to test the three independent variables. . Posttest In the third phase of the experiment, negative information about the celebrity endorser is given. Information supplied is related to the three independent variables of the following set tings: ? ? Attractiveness: Images of a sex scandal and a rugged image of the celebrity Multiple Endorsements: Information of celebrity endorsing for multiple brands however, contradicting to the values of the non-profit organization ? Perceive Income: Information of celebrity getting paid to endorse for a non-profit organization RBUS2900 Business Research Method Assignment 2 Part B 11Subsequently, the respondents are to fill in the twenty-six questions and twelve questions again in order to analyse the effects of the negative information. c. Procedure The survey will be conducted in an enclosed room and the participants will be seated at individual tables during the conduct of the survey. They will then be randomly selected to be either in the experiment or control group. They will also be informed that their careful consideration into each question would help the researchers evaluate celebrity endorsements on non-profit organizations.This is reminded again by the title provided at the cover page. It will also be emphasised that their participation in voluntary and confidentiality is kept at the strictest levels. This is reminded again as a disclaimer on the last page of the survey. d. Errors Figure 3 – Survey: Total error diagram The figure shows the various types of errors that might be present in survey. Particularly in our survey, we have identified the following possible errors that we might face and the control measures: RBUS2900 Business Research Method Assignment 2 Part B 12Type of Error Random Sampling Error Response error – Interviewer bias Response error – Extremity bias Administrative error – Interviewer error Control measures Increase the sample size from People of very extreme initial 100 to 200. backgrounds existing in randomize (Bartlett, Kotrlik, & Higgins, group 2001) Interviewer introduced as As we are asking about Brad Pitt neutral parties helping to attractiveness, the respondent may facilitate the session and h as answer differently due to the nothing to do with the research presence of the interviewer group (Herbert F.Weisberg, 2005) Before the start of the questionnaire, address to the As most of the questions provided respondents the importance of are a seven point semantic correct data needed to be differentiated scale, respondents collected from them, thus may just choose 1 or 7 for emphasizing our appreciation convinence to them to provide their best effort. (Ian Gregory, 2003) As there are two different sets of Make sure the experiment survey, the interviewer might issue ground is properly organize out the wrong amount of sets, and double checked before the ideally it is suppose to be equal seating of the respondents. umber of sets given out. (Floyd J. Fowler et al. , 1990) Table 1 – Survey errors encountered Cause 3. 5 Measurement (Please refer to appendix 2 for survey questions) 3. 5. 1 Perception of organisation (Dependent variable) Perception of organisation is measured w ith 26 items adapted from Sarstedt and Schloderer (2010) -? = 0. 95. The closer Cronbach’s alpha (? ) is to 1. 0, the more reliable the items. Hence these 26 items are considered reliable. It will be measured on a seven-point Likert scale.Likert scale is â€Å"a measure of attitudes designed to allow respondents to rate how strongly they agree or disagree with carefully constructed statements, ranging from very positive to very negative attitudes toward some object† (Zikmund et al. , 2010). To make the scale more reliable, the scale from one to seven is used, therefore reducing the differences between levels, resulting in a more reliable measurement. In addition, all the indicators were randomized in order to avoid order effects (Sarstedt & Schloderer, 2010) RBUS2900 Business Research Method Assignment 2 Part B 13 . 5. 2 Attractiveness (Independent variable) Attractiveness was measured with a bipolar semantic differential scale. This was useful as it measured the attit udes of respondents on a scale. According to Zikmund et al. , the scale is found to be useful and versatile in many business applications (2010, p. 320). There were four items that were used to measure attractiveness. This was adapted from a study conducted by DeShirlds, Kara and Kaynak (1995). 3. 5. Over-endorsement of celebrity (Independent variable) Over-endorsement was measured on a seven-point Likert scale and consisted of five items adapted from Mowen and Brown (1981) and Tripp, Jensen and Carlson (1994). Both produced a Cronbach’s alpha of 0. 88 and 0. 84 respectively. 3. 5. 4 Perception of income from endorsement (Independent variable) Similarly, perception of income was measured on a seven-point Likert scale. This was measured with three items adaped from Cronley et al. (1999). These questions are considered reliable due to the high rating of Cronbach’s alpha of 0. 9. RBUS2900 Business Research Method Assignment 2 Part B 14 4. DATA ANALYSIS 4. 1 Procedure It i s proposed that four techniques will be used to analyse the data. The software in which these techniques are based on will be SPSS. (Please refer to appendix 1d for detailed elaboration on techniques) 4. 1. 1 Descriptive statistics Descriptive statistics will produce central tendency, distribution and variability of the results from our experiment. (Zikmund et al. , 2010) This information would be essential as it forms a bigger picture of the data collected.For instance, by comparing the means of the results from the survey, especially that in the experimental group, any change in the perception of the respondents will be detected. The standard deviation obtained will demonstrate how accurate the data is by analysing the variation about the mean. Typically, the smaller the standard deviation, the smaller the variation of the results. 4. 1. 2 Factor analysis After obtaining the bigger picture of the data, factor analysis will be used to analyse the reliability of the questions that w ere asked.This is done by reducing the amount of information in the initial variables and establishing them together into smaller groups called factors. (Gabor, 2010) This will then enable the analysis of the interdependence between the questions, limiting the questions to only those, which provide analysis for the variables. This process of factor analysis is necessary as it allows the researcher to limit the number of questions asked as well as to ensure the reliability of the questions in analysing the variables. RBUS2900 Business Research Method Assignment 2 Part B 15 . 1. 3 Paired sample T-test Once the reliability of the questions is obtained, the results of the survey are then put through a paired samples t-test. A paired samples t-test will allow detection of change after the respondents are given information about the celebrity endorser. This is detected through the variation in the means before and after the experiment. A further step from just descriptive statistics is th at this will test the significance of the data, an essential step to determine the reliability of the analysis.A paired samples t-test will be utilised as the data is collected from one group of participants that are subjected to a â€Å"before-after† treatment. Due to the usage of a Likert scale, the data is considered to be measured on an interval scale and as such, a paired samples t-test is most suitable for analysing the variation in the data. 4. 1. 4 Multiple regression analysis Lastly, essentially the crux of the data analysis is the multiple regression analysis that is used to established strength of association between the independent variables and dependent variable.Two values are being calculated to determine the strength of association. Firstly, the value displayed as adjusted R square will show the percentage of the variation of the dependent variable that is a result of the independent variables in the model. The closer the value of the adjusted R square is to o ne, the better the model. Secondly, the standardized Beta value will be used to determine the strength of each independent variable and its relationship with the dependent variable. Accordingly, the closer the value is to one, the stronger the bond.The significant independent variables are then ranked based on their standardized Beta. Hence, after processing the data through multiple regression analysis, PeTA will be able to establish which independent variable is seen to have a negative or positive relationship with the dependent variable of perception of organisation. This result though not sufficient to prove causality, when coupled with theory spelt out in the RBUS2900 Business Research Method Assignment 2 Part B 16 hypothesis development section, will provide a good idea of the causes of change in perception of organisation. . 2 Expected results Based on a scaled down version of the experiment that was conducted, these are the following results. 4. 2. 1 Factor analysis Firstly, the factor analysis conducted and questions 6-8, 14, 15 and 18 will be removed from the measurement of perception of organisation. This is due to the fact that the eigenvalues were less than 1. 0. The new variable consisting of 20 items had a Cronbach’s alpha of 0. 907. Which is still a reliable count. The measurement for over-endorsement will retain its five items and the Cronbach’s alpha is calculated to be 0. 642.Lastly, the first question for perceived income will be removed from the variable and the new variable consisting of the two questions has a Cronbach’s alpha value of 0. 903. 4. 2. 2 Paired samples t-test Based on the paired samples t-test conducted for the mock experiment, it can be seen that there was a positive increase of t-value which tells use that the mean of the first group was bigger than the mean of the second group. Hence there was a decreased in mean scores as predicted by our hypothesis. RBUS2900 Business Research Method Assignment 2 Pa rt B 17 Model Summary Model R R Square Adjusted R Square 1 . 06 a Std. Error of the Estimate .367 -. 898 Paired Differences 21. 505 Mean Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Lower Upper 20. 552 Pair 1 PerceptionORGbef PerceivedORGaft overendorsementBE 11. 071 10. 251 3. 874 1. 591 Pair 2 FoverendorsementAF T PerceivedINCOMEb 1. 286 3. 506 1. 325 -1. 957 4. 528 Pair 3 ef perceptionINCOMEa ft 3. 071 2. 370 .896 .879 5. 264 Pair 4 Pair 6 Pair 7 Attractiveness Attractiveness SexyBEF – SexyAFT TemperamentBEF TemperamentAFT -. 286 -. 143 -. 286 .488 . 378 . 488 .184 . 143 . 184 -. 737 -. 492 -. 737 .166 . 207 . 166Figure 4 – Sample paired t-test results 4. 3. 3 Multiple regression analysis Lastly, multiple regression analysis was used to establish association amongst the dependent and independent variables. Through the analysis, it was found that there was a strong negative association (-0. 898) between the variables. This is a clear indic ation that the proposed hypotheses are all correct. 4. 3. 4 Discussion of outcomes Finally, it is clear from the mock up that further research would be necessary in order to fully understand the effects of the independent variables on the dependent variable.This is exceptionally necessary for an organisation such as PeTA due to the high number of RBUS2900 Business Research Method Assignment 2 Part B 18 celebrities that endorse the organisation. Moving forward, it is necessary for PeTA to fully evaluate the background of the celebrities that endorse the organisation as well as to consider the perception of paying the celebrities for the endorsement. However, further research must be done in order to ascertain this claim. The research team would like to propose that PeTA approve the proposal for research to commence.Subsequently, PeTA would be able to expect a research report as well as an oral presentation of the findings from the research team. RBUS2900 Business Research Method Assi gnment 2 Part B 19 References Baker, M. & Churchhill, G. A. 1977. The impact of physically attractive models on advertising evaluations. Journal of Marketing Research, 14(4): 538–555 Bartlett, Kotrlik, & Higgins. 2001. Organizational Research: Determining Appropriate Sample Size in Survey Research. Information Technology, Learning, and Performance Journal, 19(1): 48 Caballero, M. J. , & Pride, W. M. 1984.Selected Effects of Salesperson Sex and Attractiveness in Direct Mail Advertisements, Journal of Marketing, 48(1): 94-100 Chaiken, S. , 1986. Physical appearance and social influence. In: C. P. Herman, M. P. Zanna and E. T. Higgins, eds. Physical appearance, stigma, and social behavior: 143-177, Erlbaum Associates, Hove, UK Cronley, M. L. , Kardes F. R. , Goddard, P. , & Houghton, D. C. 1999. Endorsing Products For The Money: The Role of the Correspondence Bias in Celebrity Advertising. 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Academy of Marketing Science Review, 5: 1–14RBUS2900 Business Research Method Assignment 2 Part B 21 Millsap, R. E. 2009. The Sage Handbook of Quantitative Methods in Psychology, Albert Maydeu-Olivares Sarstedt, M. & Schloderer, M. P. , 2010. Developing a measurement approach. International Journal of Nonprofit and Voluntary Sector Marketing, 15: 287 Shamoo A and Resnik D, 2009. Responsible Conduct of Research, 2nd e d Sorum, K. A. , Grape, K. M. , & Silvera, D. 2003. Do dispositional attributions regarding peer endorsers influence product evaluations, Scandinavian Journal of Psychology, 44: 39–46 Trimble, C. S. , & Rifon, N. J. 2006.Consumer perceptions of compatibility in cause related marketing messages, International Journal of Nonprofit and Voluntary Sector Marketing, 11(1): 29-47 Tripp, C. , Jensen, T. D. , & Carlson, L. 1994. The effects of multiple product endorsements by celebrities, Journal of Consumer Research, 20(4): 535-535 White, D. W. , Goddard, L. & Wilbur, N. 2009. The effects of negative information transference in the celebrity endorsement relationship, International Journal of Retail & Distribution Management, 37(4): 322-335 Zikmund, Babin, Carr, & Griffin. 2010. Business Research Methods Eighth Ed.South Western Cengage Learning RBUS2900 Business Research Method Assignment 2 Part B 22 APPENDIX Appendix 1 Table 1a Conceptual definitions Definition Corporate image, the c onsumer’s impression of the company that is producing and selling a given product or brand A person whom the members of an audience would like very much to please, someone whom they like very much Source Goldberg, M. E. & Hartwick Jon. 1990. The Effects of Advertiser Reputation and Extremity of Advertising Claim on Advertising Effectiveness, Journal of Consumer Research, 17(2): 172-179 Mills, J. & Elliot, A. 1965.Opinion change as a function of the communicator’s attractiveness and desire to influence, Journal of Personality and Social Psychology, 1(2): 173-177 Page Concept Perception of organisation 173 Attractiveness 173 Over-endorsement If a celebrity endorses several products, the relation between himself and a particular product is not distinctive, leading to an inference that the nature of the particular product was not the reason for endorsement Mowen, J. C. & Brown, S. W. 1981. On Explaining and predicting the effectiveness of celebrity endorses. Advances in Co nsumer Research, 8(1): 437441 37 Perceived income from endorsement Perception that a celebrity endorser is being highly paid for an advertisement Cronley, M. L. , Kardes, F. R. , Goddard, P. & Houghton, D. C. 1999. Endorsing products for money: The role of the correspondence bias in celebrity advertising, Advances in Consumer Research, 26: 627– 631 628 RBUS2900 Business Research Method Assignment 2 Part B 23 Table 1b Hypotheses Hypothesis Data analysis method used H1: The perceived physical attractiveness of an endorser will result in an increased positive perception of the endorsed organisationH2: In situations whereby celebrities are seen to endorse multiple products that might be contradictory to the nature of the organisation, there will be a decrease in positive perception of the endorsed organisation. Paired sampled t-test to compare mean scores of before and after the experiment to analyse for variation. Multiple regression analysis to investigate the effect of the ind ependent variables (Perceived physical attractiveness, overendorsement of celebrity, perceived income from endorsement) on the dependent variable (perception of the endorsed organisation)H3: The more a celebrity is perceived to be paid for the endorsement, the more negative the perception of the organisation. RBUS2900 Business Research Method Assignment 2 Part B 24 Table 1c List of measures Measure Scale Source Sarstedt, M. & Schloderer, M. P. 2010. Developing a measurement approach for reputation of non-profit organizations. International Journal of Nonprofit Voluntary Sector Marketing, 15: 276–299 26-item measure of perception of non-profit organisation 7-point Likert scale 4-item measure of attractiveness Bipolar semantic differential scaleDeShields Jr, Oscar W. , Kara, Ali, & Kaynak, Erdener. 1996. Source effects in purchase decisions: The impact of physical attractiveness and accent of salesperson, International Journal of Research in Marketing, 13(1): 89-101 Mowen, J. C . & Brown, S. W. 1981. On Explaining and predicting the effectiveness of celebrity endorses. Advances in Consumer Research, 8(1): 437-441 Cronley, M. L. , Kardes, F. R. , Goddard, P. & Houghton, D. C. 1999. Endorsing products for money: The role of the correspondence bias in celebrity advertising, Advances in Consumer Research, 26: 627–631 -item measure of overendorsement 7-point Likert scale 3-item measure of perceived income from endorsement 7-point Likert scale Sorum, K. A. , Grape, K. M. & Silvera, D. 2003. Do dispositional attributions regarding peer endorsers influence product evaluations? , Scandinavian Journal of Psychology, 44: 39–46 RBUS2900 Business Research Method Assignment 2 Part B 25 Table 1d Technique Data analysis techniques Definition Assumptions Important terms – Mean = total score divided by n. -Std. deviation= variation of the sample. – Min/Max= highest and lowest score in the sample. Skewness= to measure the symmetry of the distribut ion – Kurtosis= how the scores cluster together – Eigenvalues (to determine the number of factors) = the amount of variance associated with the factor – Cronbach’s alpha= to check the reliability of the scale (accepted if Cronbach’s alpha;0. 7) – Normality of distribution – Interval data – Confidence interval (the range of the data)= For 95% of confidence interval, Sig value should not exceed 0. 05 – T value and critical t value – Degree of freedom (to determine the critical t value) – Sig value (p-value)