Applied Multiple Regression Analysis in Cross-Cultural Comparisons

2021 ◽  
pp. 57-130
Author(s):  
Thanh V. Tran ◽  
Keith T. Chan

This chapter focuses on the application of multiple regression analysis in cross-cultural comparisons using the Stata statistical package. We explain the assumptions and uses of multiple regression and relevant techniques for examining the applicability of the data for analysis. We briefly discuss reliability analysis across culture groups and provide a step-by-step approach for analyzing and interpreting real world examples of cross-cultural research suing multiple regression techniques. We explain and provide examples of mediation and moderation effect, and conclude with techniques to test the equivalence of effects across different cultural groups.

2021 ◽  
pp. 291-294
Author(s):  
Thanh V. Tran ◽  
Keith T. Chan

We conclude the book in this chapter, and discuss a summary of chapters, limitations and future directions. Defining culture is a complex task, and we provided practical guides for social work students and researchers to make cross-cultural comparisons in their research. We began this book with a discussion on culture and its relation to social work. We then outlined the process of data management and the use of descriptive statistic techniques to describe differences among cultural groups. We demonstrated and illustrated the application of cross cultural comparisons using linear regression, logistic regression, structural equation modeling (SEM), hierarchical linear modeling (HLM), and geomap visualizations. We concluded with a discussion on limitations and our hope for future directions in cross-cultural research in the social work discipline.


Author(s):  
Thanh V. Tran ◽  
Tam Nguyen ◽  
Keith Chan

Developing new cross-cultural research instruments is an enormous task, and it requires careful consideration from the researchers to ensure that the instruments measure what they are designed to measure and that they can also capture cultural differences and similarities among the comparative groups. It is always challenging to develop an “etic” instrument that captures the shared meanings among the comparative cultural groups and an “emic” instrument that can measure the unique aspects of each cultural group. Constructing cross-cultural research instruments must be a collaborative endeavor of the research team and the stakeholders. Inputs from cultural experts, prospective research respondents or clients, and service providers should be an integral part of every step or phase in cross-cultural measurement development and construction. This chapter focuses on the foundation of measurement and the process of cross-cultural instrument development.


2021 ◽  
pp. 27-56
Author(s):  
Thanh V. Tran ◽  
Keith T. Chan

Quantitative cross-cultural analysis requires the application of statistics to study the variability of a phenomenon (variable,) across cultural groups. This chapter aims to provide practical applications of descriptive statistics to describe the variables used in a cross-cultural research/evaluation project. We use statistical methods to describe the variables of interests and to test the hypotheses derived from theories for understanding cross-cultural comparisons. More specifically, we address the importance of examine the variables of interest across selected comparative groups. It is our position that in order to describe and to test hypotheses, we need first to know how the variables of interest are measured. We illustrate the use of STATA for data management and descriptive statistics throughout the chapter.


1997 ◽  
Vol 9 ◽  
pp. 20-30
Author(s):  
John A. Keats

AbstractThis paper introduces the problems of cross-cultural research and shows how ordinal test theory can contribute to the solution of some of these problems. The concept of tied-ranks scores is introduced and the use of these scores for dichotomous and polytomous items is explained, as is the use of this theory for the examination of conjoint ordering. Conjoint ordering can then be used to determine the existence of an underlying variable, and to establish whether or not the same underlying variable can be defined for each of the cultures to be compared. Given the satisfaction of these conditions, cross-cultural comparisons can be made. Other considerations germane to the problem of cross-cultural comparisons are also considered.


2015 ◽  
Vol 793 ◽  
pp. 663-668
Author(s):  
M.H. Amlus ◽  
Ahmad Zaidi Abdullah ◽  
Amlus Ibrahim ◽  
H. Mokhtarudin

Generally, manufacturing capability is the important factor in running and developing business. Hence, this research is aimed to identifying the relationships of critical factors and make sure the companies can survive in the northern region of Malaysia. Those identified factors are training and manufacturing capabilities. Through the email survey, a total of 89 companies representing electrical and electronic industries had responded. The hypotheses involved were tested using correlation and regression techniques. The results of the study support all the hypotheses. The multiple regression analysis indicates that there are significant relationships among the factors on each criterion to manufacturing capabilities. While hierarchical multiple regression analysis was carried out to test the role of moderating in the relationship between independent variables with dependent variables. It is believed that results of this study will be beneficial for shareholders and directors of companies to apply these manufacturing capabilities.


2015 ◽  
Vol 793 ◽  
pp. 647-651
Author(s):  
Mohammad Harith bin Amlus ◽  
Ahmad Zaidi Abdullah ◽  
Amlus Ibrahim

Generally, manufacturing capabilities are the important factor in running and developing business. Hence, this research is aimed to identifying the relationships of critical factors and make sure the companies can survive in the northern region of Malaysia esspecially in Electrical and Electronic area. Those identified factors are managerial commitment and manufacturing capabilities in term of agility. Through the survey, a total of 119 companies representing various industries in Northern Region of Malaysia had responded. The hypotheses involved were tested using correlation and regression techniques. The results of the study support all the hypotheses. The multiple regression analysis indicates that there are significant relationships among the factors on each criterion to manufacturing capabilities. It is believed that results of this study will be beneficial for shareholders and directors of electrical and electronic companies to apply these manufacturing capabilities.


1994 ◽  
Vol 20 (3) ◽  
pp. 643-671 ◽  
Author(s):  
Christine M. Riordan ◽  
Robert J. Vandenberg

Within the present research, a covariance structure analytic procedure is applied to test the stability and transferability of organizational measures between groups in cross-cultural research. Findings support the need to establish the equivalency of constructs and measures prior to interpreting differences in means of self-report variables between culturally diverse groups. Indeed, for two measures, the cultural groups were using different conceptual frames of reference when responding to the items. For a third measure, the groups were calibrating the true scores differently. However, the source of the calibration difference was identified and subsequently accounted for in later analyses. Thus, differences between latent means for the culturally diverse groups were calculated and interpreted. The approach outlined in this paper is proffered as yielding valuable insights regarding the appropriateness of comparative cross-cultural studies.


1996 ◽  
Vol 21 (3) ◽  
pp. 1-5 ◽  
Author(s):  
Anne Glover ◽  
Dasia Black-Gutman

Cross-cultural research, like all other research, is multi-dimensional. It includes both comparative research, as opposed to research conducted in a single society, and research in which researchers and participants belong to different cultural groups. As a process, it presents numerous challenges. In cross-cultural or comparative studies there are questions related to the validity of the constructs being employed, the appropriateness of measures, and the suitability of methodologies for specific contexts. When researchers and study participants belong to different groups, questions about who determines and defines the research, who owns it, and how the research data is used, all need to be addressed.


2021 ◽  
Author(s):  
Georgia Loukatou ◽  
Camila Scaff ◽  
Katherine Demuth ◽  
Alejandrina Cristia ◽  
Naomi Havron

Despite the fact that in most communities interaction occurs between the child and multiple speakers, most previous research on input to children focused on input from mothers. We annotated recordings of Sesotho-learning toddlers living in non-industrial Lesotho in South Africa, and French-learning toddlers living in urban regions in France. We examined who produced the input (mothers, other children, adults), how much input was child directed, and whether and how it varied across speakers. As expected, mothers contributed most of the input in the French recordings. However, in the Sesotho recordings, input from other children was more common than input from mothers or other adults. Child-directed speech from all speakers in both cultural groups showed similar qualitative modifications. Our findings suggest that input from other children is prevalent and has similar features as child-directed from adults described in previous work, inviting cross-cultural research into the effects of input from other children.


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