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|Title: ||Cross-country cross-survey design in international marketing research: the role of input data in multiple imputation|
|Authors: ||Sundqvist, S.|
Cadogan, John W.
|Issue Date: ||2016|
|Publisher: ||© Emerald Group Publishing Limited|
|Citation: ||SUNDQVIST, S. et al., 2016. Cross-country cross-survey design in international marketing research: the role of input data in multiple imputation. International Marketing Review, 33 (3), pp. 454-182.|
|Abstract: ||Purpose – The present paper focuses on the case where – by design – one needs to impute
cross-country cross-survey data (situation typical for example among multinational firms who
are confronted with the need to carry out comparative marketing surveys with respondents located in several countries). Importantly, while some work demonstrates approaches for single-item direct measures, no prior research has examined the common situation in international marketing where the researcher needs to use multi-item scales of latent constructs. Our paper presents problem areas related to the choices international marketers
have to make when doing cross-country / cross-survey research and provides guidance for future research.
Design/methodology/approach – Multi-country sample of real data is used as an example of
cross-sample imputation (292 New Zealand exporters and 302 Finnish ones) the international entrepreneurial orientation data. Three variations of the input data are tested: A) imputation based on all the data available for the measurement model, B) imputation based on the set of
items based on the invariance structure of the joint items shared across the two groups, and C) imputation based both on examination of the invariance structures of the joint items and the performance of the measurement model in the group where the full data was originally
Findings – Based on distribution comparisons imputation for New Zealand after completing the measurement model with Finnish data (Model C) gave the most promising results.
Consequently, using knowledge on between country measurement qualities may improve the
imputation results, but this benefit comes with a downside since it simultaneously reduces the amount of data used for imputation. None of the imputation models leads to the same statistical inferences about covariances between latent constructs than as the original full data, however.
Research limitations / Implications - The present exploratory study suggests that there are several concerns and issues that should be taken into account when planning cross-country cross-surveys. These concerns arising from current study lead us to question the appropriateness of the cross-country cross-survey approach in general although in general advantages exist. Further research is needed to find the best methods.
Originality / value – The combination of cross-country and cross-survey approaches is novel to international marketing, and it is not known how the different procedures utilized in imputation affect the results and their validity and reliability. We demonstrate the consequences of the
various imputation strategy choices taken by using a real example of a two-country sample.
Our exploration may have significant implications to international marketing researchers and the paper offers stimulus for further research in the area.|
|Description: ||This paper is embargoed until May 2018.|
|Version: ||Accepted for publication|
|Publisher Link: ||http://dx.doi.org/10.1108/IMR-11-2014-0348|
|Appears in Collections:||Closed Access (Business School)|
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