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"Survey researchers increasingly use mixed-mode surveys for general population data collection because mixed-mode surveys are argued to provide lower selection error at constant budgets or lower variable costs at constant selection error. Nevertheless, the advantage of lower selection error and variable costs might be counteracted by higher measurement error and by higher fixed costs. This trade-off between selection error, measurement error, variable costs and fixed costs has hardly been studied within the existing literature about mixed-mode surveys. This paper discusses a possible procedure for evaluating this trade-off by comparing the performance (mean squared error) of mixed-mode survey designs against single-mode survey designs. The procedure is further illustrated by real example data stemming from a mixed-mode mailface-to-face survey. This illustration yields smaller errors for single-mode designs under low budgets but smaller errors for mixed-mode designs under large budgets or, alternatively, a budgetary advantage of single-mode designs when the allowed error is relatively high but a budgetary advantage of mixed-mode designs when the allowed error is relatively small. However, the validity of these results depend on several modelling assumptions which may be topics for future research." (publisher's description)

One of the main concerns is the nature of the missing values. Let's consider extremes for simplicity. If missing at random we have not to care about. But if missing shows structures that covariate with substantive variables we have to make decisions. There are, in fact, several options to take. We are speaking about one country, one mode. But if you go cross-cultural (or more precisely, cross-state nations) and mixed modes many questions raise. For example, the simple one. What are we comparing? Reports and books usually go straight into variables distributions and coefficient comparisons. This is possible because the annalist presume "tabula rasa" effect from data collections procedures. But this is not, frequently, the real situation. This paper will expose the mixed missing mode imprint in international surveys. This will help to evaluate how deal with this problem. Also, to consider the real meaning of observed cross-national differences.

Mixing survey modes for data collection can have positive effects on response rates, sample balance, and survey costs. However, data collected in multiple modes may also suffer from mode measurement effects. In this Survey Guideline, we give an overview of empirical evidence related to the benefits and drawbacks of using multiple modes for data collection and outline some recommendations for the im­plementation of mixed-mode surveys. Finally, we provide a brief outlook on the perspectives of mixed­mode surveys in the survey landscape.

Mixed-mode surveys have been around since the late 1980s. In the past thirty years, major changes in technology and society influenced and changed data collection and survey methodology. However, in those years, mixed-mode strategies remained part of the daily survey practice, although the type of mix implemented followed the changes in technology and data collection methods. In this paper, I summarize the state of the art in traditional mixed-mode surveys and discuss implications for mixed device surveys.

Der Band vereinigt Beiträge aus der aktuellen Forschung zu Methoden der gleichzeitigen Anwendung unterschiedlicher Kommunikationsformen in einem Survey (sog. Mixed-Mode-Surveys). Mit Survey-Designs dieser Art können verschiedene Ziele verbunden sein. Dazu gehören etwa eine Reduktion der Erhebungskosten und eine Reduktion von Stichprobenverzerrungen. Der vorliegende Band beschäftigt sich mit den Möglichkeiten und Grenzen des Einsatzes dieser Verfahren sowie mit deren Auswirkungen auf verschiedene Aspekte der Datenqualität. Der Inhalt Mode-Vielfalt, Mode-Komponenten und Datenqualität • Die Rolle von Modes in der Teilnehmerrekrutierung • Mode-Änderungen in Survey-Designs • Mess- und Methodeneffekte Die Herausgeber Prof. Dr. Stefanie Eifler ist Inhaberin des Lehrstuhls für Soziologie und empirische Sozialforschung an der Katholischen Universität Eichstätt-Ingolstadt. Prof. Dr. Frank Faulbaum war bis April 2008 Inhaber des Lehrstuhls für Sozialwissenschaftliche Methoden/Empirische Sozialforschung an der Universität Duisburg-Essen und ist gegenwärtig Vorstandsvorsitzender der Arbeitsgemeinschaft Sozialwissenschaftlicher Institute (ASI) e.V

Survey designs in which data from different groups of respondents are collected by different survey modes have become increasingly popular. However, such mixed-mode (MM) designs lead to a confounding of selection effects and measurement effects (measurement error) caused by mode differences. Consequently, MM data have poor quality. Nevertheless, comparing MM data with data from a comparable single-mode survey allows researchers to measure selection effects and measurement effects separately. The authors develop a method to evaluate mode effects and illustrate this method with data from a Dutch MM experiment within the European Social Survey program. In this experiment, respondents could choose between three modes: a Web survey, a telephone interview, or a face-to-face interview. Mode effects on three political variables are evaluated: interest in politics, perceived complexity of politics, and voter turnout in the last national election.

Abstract:  This paper explores the possibility of the mixed‐mode survey in Japan in order to ensure a wider range of respondents, focusing on the specific type of mixture that is designed to make contact with a respondent by more than one mode and in which a respondent can choose an alternative mode convenient for him or her. The dataset mainly used comes from the survey Study on the Social Composition of the Urban Local Community conducted in Shinagawa Ward of Tokyo in 1999. Three other studies are introduced for additional information. As an indicator of the effectiveness of a mixed‐mode design, the response rates of four studies are examined and some improvement in the response rates is observed, compared to that of a single‐mode design. Another indicator is the representativeness of a sample and it is evaluated using the data of the Shinagawa survey. When the discrepancy between valid respondents and the population on some demographic characteristics is regarded as representation bias, a mixed‐mode design is found to reduce the bias. An inherent problem in a mixed‐mode design is "mode effect." In order to control for the mode effect in analyses, the inclusion of an additional variable indicating "mode" in the model is recommended. It is further suggested that the interaction effects between the "mode" and the respondents' traits should be checked, on the assumption that the survey mode affects respondents differently. The attempts are made and discussed in this paper using two variables drawn from the Shinagawa survey.

This paper examines the effects of survey mode on patterns of survey response, paying special attention to the conditions under which mode effects are more or less consequential. We use the Youth Participatory Politics survey, a study administered either online or over the phone to 2920 young people. Our results provide consistent evidence of mode effects. The internet sample exhibits higher rates of item non-response and "no opinion" responses, and considerably lower levels of differentiation in the use of rating scales. These differences remain even after accounting for how respondents selected into the mode of survey administration. We demonstrate the substantive implications of mode effects in the context of items measuring political knowledge and racial attitudes. We conclude by discussing the implications of our results for comparing data obtained from surveys conducted with different modes, and for the design and analysis of multi-mode surveys.

AbstractThe moral theory of "mixed modes" John Locke presents in hisEssay concerning Human Understandingis beset with paradoxes. On the one hand, he tells us that all mixed modes, including moral concepts, are "arbitrary" mental constructs. On the other hand, he speaks of an "eternal law" of right and wrong, and is well known as a champion of objective, universally valid natural law. This paradox stems from problems created by the new natural science. That science is predicated on the demolition of Aristotelian Scholasticism. Locke participates in that demolition on behalf of science, but it leaves him with limited options in building his own moral theory. Samuel Pufendorf responded to this situation by devising a theory of "moral modes," and Locke follows Pufendorf's model. The essay concludes by noting some similarities and differences with the moral metaphysics of Immanuel Kant.