Validation of theoretical assumptions with real and falsified survey data

Landrock, Uta; Menold, Natalja

doi:10.3233/sji-161020

Cited by 4 publications

(8 citation statements)

References 7 publications

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“…Thus this paper validates the results of Landrocks and Menolds previous work [17] and gives another piece of evidence that complex relationships in the real data are difficult for falsifiers to reconstruct.…”

Section: Conclusion and Discussionsupporting

confidence: 72%

“…As a consequence, one can assume that the overestimation of correlations in falsified data holds only or particularly for cases in which a falsifier would expect a relationship, for example because of stereotypes or implicit knowledge. In contrast to these above mentioned studies Landrock and Menold [17] compared real and falsified data by applying a certain social science theory, the theory of planned behavior, and conducted theory-driven regression analyses for explaining healthy eating behavior. They came to the result that stereotypical and non-theory-driven relationships were more strongly pronounced in the falsified data while theory-driven relationships were more strongly pronounced in the real data.…”

Section: Falsification In Surveysmentioning

confidence: 99%

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Explaining political participation: A comparison of real and falsified survey data

Landrock¹

2017

SJI

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Abstract. This paper examines differences between real survey data and data falsified by interviewers. Previous studies show that there are only small differences between real and falsified data which implies that falsifying interviewers are able to (re-)produce realistic frequency distributions. The question this paper aims to answer is whether they are also able to produce multivariate results in accordance with the assumptions of established social science approaches. As an example for a realistic theory-driven data analysis, real and falsified data are compared in terms of the identified determinants of political participation. I use an experimental data set with data partly collected in real interviews and partly by interviewers being instructed to falsify; that is, to fill in the questionnaire based on little information about the respondent. The questionnaire measures twelve political activities, based on which I calculate an index for political participation. There are differences in the models between the real and the falsified data: The explained variances are higher in the regression models of the falsified data. There are some variables significant in both data sets and some that are significant only in the real or in the falsified data. These differences can be explained by our theoretical assumptions.

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Section: Conclusion and Discussionsupporting

confidence: 72%

Section: Falsification In Surveysmentioning

confidence: 99%

Explaining political participation: A comparison of real and falsified survey data

Landrock¹

2017

SJI

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“…This may lead to more consistent models of explaining behavior in falsified interview data than expectable in real life (cp. Landrock and Menold, 2016).…”

Section: State Of Research On Interviewer Falsificationsmentioning

confidence: 99%

“…To asses differences regarding the covariance structure, we developed the approach of estimating theory-driven models; this way we were able to research whether falsifiers are also able to construct complex models of behavior in accordance with social reality (Landrock and Menold, 2016; Landrock, 2017a). We estimated theory-driven OLS regressions and compared the results of the falsified with those of the real data.…”

Section: Main Findings Of the Ifis Projectmentioning

confidence: 99%

“…We applied two established theories of social science research. Firstly, applying the theory of planned behavior (Ajzen, 1991; Ajzen and Krebs, 1994), we developed a model to explain healthy eating behavior (Landrock and Menold, 2016). Secondly, we adopted a rational choice model of explaining political participation (cp.…”

Section: Main Findings Of the Ifis Projectmentioning

confidence: 99%

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Investigating Interviewer Falsifications – A Quasi-experimental Design

Landrock

2017

Bulletin of Sociological Methodology/Bulletin de Méthodologie S

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This paper discusses the strengths and limitations of experimentally-orientated research in sociology. In principal, results from experiments cannot be generalized. Nevertheless they allow controlling for certain conditions that are impossible to measure during a survey. This paper gives an example: It presents findings from a quasi-experimental research on interviewer falsifications. Interviewers conducted real standardized interviews and subsequently falsified corresponding interviews in the lab. This enables a comparison of real and falsified survey data. Our research design has the limitation that there is no proof that actual falsifiers in an actual survey fieldwork environment would have falsified interviews in the same way as did the participants of our study. However, only this quasi-experimental approach allows us to know for sure which interviews are falsified.

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The value of online surveys: a look back and a look ahead

Evans

Mathur

2018

INTR

301

186

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Purpose -The purpose of this paper is to present a detailed and critical look at the evolution of online survey research since Evans and Mathur's (2005) article on the value of online surveys. At that time, online survey research was in its early stages. Also covered are the present and future states of online research. Many conclusions and recommendations are presented. Design/methodology/approach -The look back focuses on online surveys, strengths and weaknesses of online surveys, the literature on several aspects of online surveys and online survey best practices. The look ahead focuses on emerging survey technologies and methodologies, and new non-survey technologies and methodologies. Conclusions and recommendations are provided. Findings -Online survey research is used more frequently and better accepted by researchers than in 2005. Yet, survey techniques are still regularly transformed by new technologies. Non-survey digital research is also more prominent than in 2005 and can better track actual behavior than surveys can. Hybrid surveys will be widespread in the future. Practical implications -The paper aims to provide insights for researchers with different levels of online survey experience. And both academics and practitioners should gain insights. Social implications -Adhering to a strong ethics code is vital to gain respondents' trust and to produce valid results. Originality/value -Conclusions and recommendations are offered in these specific areas: defining concepts, understanding the future role of surveys, developing and implementing surveys and a survey code of ethics. The literature review cites more than 200 sources.

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Validation of theoretical assumptions with real and falsified survey data

Cited by 4 publications

References 7 publications

Explaining political participation: A comparison of real and falsified survey data

Explaining political participation: A comparison of real and falsified survey data

Investigating Interviewer Falsifications – A Quasi-experimental Design

The value of online surveys: a look back and a look ahead

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