Author
Listed:
- Celil Koparal
(Anadolu University)
- Nuri Calik
(Turgut Ozal University)
Abstract
This surveys intends to find out how consumer demographics affect their price perceptions in their purchases of shopping goods. A survey is applied to 219 respondents selected via stratified sampling from Eski?ehir, a city of Turkey with 700.000 inhabitants. The respondents are required to answer 45 questions of which last five are related to demographic characteristics of these respondents. The rest 40 are statements which are designed to reflect the price perceptions of these people. The study consists of five parts. The first part is an introduction where the scope and the purpose of the study are concisely stated. The second part relates to the theoretical background of the subject matter and the prior researches carried out so far. The third part deals with research methodology, basic premises and hypotheses attached to these premises. Research model and analyses take place in this section. Theoretical framework is built and a variable name is assigned to each of the question asked or proposition forwarded to the respondents of this survey. 40 statements or propositions given to the respondents are placed on a five-point Likert scale where 1 represents strongly disagree; 2 disagree; 3 neither agree nor disagree; 4 agree and 5 strongly agree. The last five questions about demographic traits as age, gender, occupation, educational level and monthly income are placed either on a nominal or ratio scale with respect to the nature of the trait. Ten research hypotheses are formulated in this section. The fourth part mainly deals with the results of the hypothesis tests and a factor analysis is applied to the data on hand. Here exploratory factor analysis reduces 40 variables to six basic components as ?value consciousness, price consciousness, coupon and sales proneness, price mavenism, price-quality relationship, and prestige sensitivity.. KMO test of sampling adequacy and scale reliability test proved high scores as 0.9261 and 0.946 respectively. In addition non-parametric biraviate analysis in terms of Chi-Square test is applied to test the hypotheses formulated in this respect. The fifth part is the conclusion where findings of this survey is listed.
Suggested Citation
Download full text from publisher
More about this item
Keywords
;
;
;
;
;
;
JEL classification:
- M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
NEP fields
This paper has been announced in the following
NEP Reports:
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sek:iacpro:2604349. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.