Consumer Intelligence w kontekście kierunków rozwoju badań marketingowych / Consumer Intelligence in the context of the development trends of marketing research

Author(s):  
Krystyna Mazurek-Łopacińska ◽  
Magdalena Sobocińska
Methodology ◽  
2011 ◽  
Vol 7 (3) ◽  
pp. 88-95 ◽  
Author(s):  
Jose A. Martínez ◽  
Manuel Ruiz Marín

The aim of this study is to improve measurement in marketing research by constructing a new, simple, nonparametric, consistent, and powerful test to study scale invariance. The test is called D-test. D-test is constructed using symbolic dynamics and symbolic entropy as a measure of the difference between the response patterns which comes from two measurement scales. We also give a standard asymptotic distribution of our statistic. Given that the test is based on entropy measures, it avoids smoothed nonparametric estimation. We applied D-test to a real marketing research to study if scale invariance holds when measuring service quality in a sports service. We considered a free-scale as a reference scale and then we compared it with three widely used rating scales: Likert-type scale from 1 to 5 and from 1 to 7, and semantic-differential scale from −3 to +3. Scale invariance holds for the two latter scales. This test overcomes the shortcomings of other procedures for analyzing scale invariance; and it provides researchers a tool to decide the appropriate rating scale to study specific marketing problems, and how the results of prior studies can be questioned.


Author(s):  
Tamara Merkulova ◽  
Kateryna Kononova ◽  
Olena Titomir

2020 ◽  
Vol 10 (4) ◽  
pp. 38-43
Author(s):  
MARIETA EPREMYAN ◽  

The article examines the epistemological roots of conservative ideology, development trends and further prospects in political reform not only in modern Russia, but also in other countries. The author focuses on the “world” and Russian conservatism. In the course of the study, the author illustrates what opportunities and limitations a conservative ideology can have in political reform not only in modern Russia, but also in the world. In conclusion, it is concluded that the prospect of a conservative trend in the world is wide enough. To avoid immigration and to control the development of technology in society, it is necessary to adhere to a conservative policy. Conservatism is a consolidating ideology. It is no coincidence that the author cites as an example the understanding of conservative ideology by the French due to the fact that Russia has its own vision of the ideology of conservatism. If we say that conservatism seeks to preserve something and respects tradition, we must bear in mind that traditions in different societies, which form some kind of moral imperatives, cannot be a single phenomenon due to different historical destinies and differing religious views. Considered from the point of view of religion, Muslim and Christian conservatism will be somewhat confrontational on some issues. The purpose of the work was to consider issues related to the role, evolution and prospects of conservative ideology in the political reform of modern countries. The author focuses on Russia and France. To achieve this goal, the method of in-depth interviews with experts on how they understand conservatism was chosen. Already today, conservatism is quite diverse. It is quite possible that in the future it will transform even more and acquire new reflections.


Marketing ZFP ◽  
2019 ◽  
Vol 41 (4) ◽  
pp. 21-32
Author(s):  
Dirk Temme ◽  
Sarah Jensen

Missing values are ubiquitous in empirical marketing research. If missing data are not dealt with properly, this can lead to a loss of statistical power and distorted parameter estimates. While traditional approaches for handling missing data (e.g., listwise deletion) are still widely used, researchers can nowadays choose among various advanced techniques such as multiple imputation analysis or full-information maximum likelihood estimation. Due to the available software, using these modern missing data methods does not pose a major obstacle. Still, their application requires a sound understanding of the prerequisites and limitations of these methods as well as a deeper understanding of the processes that have led to missing values in an empirical study. This article is Part 1 and first introduces Rubin’s classical definition of missing data mechanisms and an alternative, variable-based taxonomy, which provides a graphical representation. Secondly, a selection of visualization tools available in different R packages for the description and exploration of missing data structures is presented.


2018 ◽  
Vol 2018 ◽  
pp. 1399-1399
Author(s):  
Shivan Sanjay Patel ◽  
◽  
Shivendra Kumar Pandey ◽  
Dheeraj Sharma ◽  
Rama Shankar Yadav
Keyword(s):  

2018 ◽  
Vol 2018 ◽  
pp. 480-480
Author(s):  
Cuong Pham ◽  
◽  
Bo Pang ◽  
Julia Carins ◽  
Sharyn Rundle-thiele

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