CASE 6: SAMPLING Banks start image repair over financial crisis In the first mon

Question

CASE 6: SAMPLING

Banks start image repair over financial crisis

In the first months of 2010, U.S. Banks have launched a campaign that aims to win back trust of their consumers and repair their battered images. For banks, it is very important to rectify the violation of trust caused by the financial crisis if the financial sector is to be brought back to health. A large-scale image-improvement campaign should therefore convey that banks have learned from their mistakes and are taking less risk with their customers' money. The challenge facing the industry is a difficult one however: In a poll conducted by the Gallup Organization in 2009, only 19% of Americans surveyed was confident in the integrity of banks, down from 41% 4 years earlier and the lowest level since Gallup began examining the integrity of bankers in 1976. And yet, even though banks realize that reputation improvement will be a slow, labor-intensive and cost-intensive operation, Rachel Dawes, a marketing executive of The Citizens Bank of America, points out that the financial services industry is dedicated to earning back the trust of the American people, and is engaging in a comprehensive effort to communicate directly with them. According to Rachel "it is clear that we have made mistakes and we recognize that we cannot simply advertise our way out of these issues."

Ralph Tanner, a Master student in Marketing Management is using his Masters project to investigate how U.S. banks can improve their image. He believes that understanding the current and desired image is vital to effectively repairing the battered images of banks. Therefore, Ralph wants to thoroughly understand consumers' perceptions of banks. Six weeks ago, he and his thesis supervisor have concluded that both qualitative and quantitative research is needed to develop and test a conceptual model of brand image of U.S. banks. This model should enable banks, such as The Citizens Bank of America, to gradually improve their image.

Just two weeks ago, Ralph has executed the first part of his project; an exploratory, qualitative study that aimed to identify the factors that play a role in shaping the overall image of U.S. banks. This qualitative study has resulted in a conceptual model of the image of banks in the U.S. "through the eyes of the consumer". At this moment, Ralph is working on the quantitative study. This study aims to test his conceptual model, generalize the findings of the qualitative study to the population, and eventually establish how banks can effectively improve their corporate image.

Ralph has spent the last few days on thinking about the method, sample, and procedure of his quantitative study. Because he finds that it is important to test the relationships between the variables in his conceptual model in a natural setting, Ralph has opted for a field study with minimal researcher interference. For this purpose, he has developed a questionnaire, in which consumers are asked to provide their overall perceptions toward banks and their perceptions toward six relevant factors that shape this overall image, such as diligence, competence, and reliability.

An understanding of the factors that shape overall image may help banks to improve their overall image. For instance, if banks are momentarily perceived as not very reliable, and if this factor turns out to have a significant effect on overall image, efforts in improving reliability will eventually result in a more positive overall image of banks. Ralph has decided to use an indirect method (regression analysis) to establish the effect of these contributing factors on the overall image of U.S. banks.

Ralph wants to send the questionnaire he has developed to everybody in his mail directory. This mail directory includes friends, family, members of the Golden Gate Park tennis club and the Phi Rho Omega Marketing Students association, and the staff of Da Paolo, a small Italian restaurant where Ralph has a part-time job allowing him to earn some extra cash during the weekends. His mail directory includes a total number of 254 people.

Questions

1.       Explain how sampling in qualitative research differs from sampling in quantitative

            research?

2.         Define the population of Ralph’s quantitative study.

3.         Is Ralph using a sampling frame? Please explain.

4a.       According to Ralph’s supervisor, the proposed sampling method is subject to

coverage error. Please explain why.

4b.       Do you think that coverage error is problematic in this case? Why and how? Is there anything that Ralph can do to solve this problem?

5.         Is Ralph putting forward a probability or a non-probability sampling technique in his quantitative study? What specific sampling technique is Ralph putting forward?

Suppose that Ralph would execute his study in the way that he has proposed. Suppose that 109 persons would return his questionnaire and that, for various reasons, 12 of these questionnaires are not useful. Furthermore, suppose that analysis of the data would reveal that 56% percent of the participants are customers of a bank that came through the crisis quite well; this particular bank has taken little risks with its customers’ money and has not needed any support from the government.       

6.         Do you think that Ralph’s sample is large enough? Why (not)?

7.         How may the fact that 56% of the consumers is a customer of a very responsible bank affect the validity and/or reliability of the findings of Ralph’s study? Is there anything that Ralph can do to solve these problems?  

Explanation / Answer

qualitative sampling- in this type of sampling qualitative variable such as sex, marital status, age group, education etc. are taken into account unlike quantitative research. sometime questionairesare given to the known people of researcher and are asked to pass the questionaires to their known people. this becomes a chain like process. it is known as snowball sampling. sometimes data is collected just by observing.

quantitative sampling::- in this method variables which are numeric in nature are taken into account. there are various methods of sampling like random sampling-each value has equal probability of getting selected, stratified samling- first the population is divided into groups and then values are taken randomly from these groups,systematic sampling- in this type of sampling every 3rd or every 7th or like these order values are recorded,cluster sampling- clusters are made from the population randomly, and all the values in that cluster are selected.

b) the population of ralph'sstudy is u.s. population.

c) no, ralph is not using any sampling frame - in sampling frame there is a coding system where each type of value is given a code making it easy to analyse the data but in this case no coding is there.

4 a) sampling method which ralhhas used has of course coverage error. he just used the opinions of people in his contacts or email id's which is not a correct representation of the whole poppulation.

4 b) yes, coverage error is problematic in this group because it will not give a correct picture of the whole population. yes, he can improve his sampling by considering opinions of people across the groups like age group, ethnicity, location, sex, peple who have account in that bank and who not,education,lifestyle.

5) ralph is putting forward a non-probabilty sampling technique because not all the values have equal chance of getting selected . only people in this email list have chance of getting selected. this technique is known as snowball sampling.

6)the sample is not large enough because it is not a correct representation of the population.

7) people who are customers of bank will have a diffrent outlook than other general population. yes, it can affect the validity and reliability calculated. he can solve this problem by sampling in such a way that it represents the population.

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