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Surveys play a major role in studying social and behavioral phenomena that are difficult to
observe. Survey data provide insights into the determinants and consequences of human
behavior and social interactions. Many domains rely on high quality survey data for decision
making and policy implementation including politics, health, business, and the social
sciences. Given a certain research question in a specific context, finding the most appropriate
survey design to ensure data quality and keep fieldwork costs low at the same time is a
difficult task. The aim of examining survey research methodology is to provide the best
evidence to estimate the costs and errors of different survey design options. The goal of this
thesis is to support and optimize the accumulation and sustainable use of evidence in survey
methodology in four steps:
(1) Identifying the gaps in meta-analytic evidence in survey methodology by a systematic
review of the existing evidence along the dimensions of a central framework in the
field
(2) Filling in these gaps with two meta-analyses in the field of survey methodology, one
on response rates in psychological online surveys, the other on panel conditioning
effects for sensitive items
(3) Assessing the robustness and sufficiency of the results of the two meta-analyses
(4) Proposing a publication format for the accumulation and dissemination of metaanalytic
evidence
The Eurosystem's Household Finance and Consumption Survey (HFCS) collects micro data on private households' balance sheets, income and consumption. It is a stylised fact that wealth is unequally distributed and that the wealthiest own a large share of total wealth. For sample surveys which aim at measuring wealth and its distribution, this is a considerable problem. To overcome it, some of the country surveys under the HFCS umbrella try to sample a disproportionately large share of households that are likely to be wealthy, a technique referred to as oversampling. Ignoring such types of complex survey designs in the estimation of regression models can lead to severe problems. This thesis first illustrates such problems using data from the first wave of the HFCS and canonical regression models from the field of household finance and gives a first guideline for HFCS data users regarding the use of replicate weight sets for variance estimation using a variant of the bootstrap. A further investigation of the issue necessitates a design-based Monte Carlo simulation study. To this end, the already existing large close-to-reality synthetic simulation population AMELIA is extended with synthetic wealth data. We discuss different approaches to the generation of synthetic micro data in the context of the extension of a synthetic simulation population that was originally based on a different data source. We propose an additional approach that is suitable for the generation of highly skewed synthetic micro data in such a setting using a multiply-imputed survey data set. After a description of the survey designs employed in the first wave of the HFCS, we then construct new survey designs for AMELIA that share core features of the HFCS survey designs. A design-based Monte Carlo simulation study shows that while more conservative approaches to oversampling do not pose problems for the estimation of regression models if sampling weights are properly accounted for, the same does not necessarily hold for more extreme oversampling approaches. This issue should be further analysed in future research.
In der vorliegenden Arbeit wurden die Einsatzmöglichkeiten von Carbon Footprints in Großküchen untersucht. Dabei wurden sowohl methodische Aspekte und Herausforderungen ihrer Erhebung untersucht als auch mögliche Kennzeichnungsformate (Label) evaluiert.
Zunächst wurde am Beispiel Hochschulgastronomie eine vollständige Carbon Footprint Studie nach DIN 14067 für sechs exemplarische Gerichte (PCF) sowie angelehnt an DIN 14064 für den Mensabetrieb (CCF) durchgeführt. Es zeigte sich, dass die gewichteten durchschnittlichen Emissionen pro Teller, unter Einbezug der verwendeten Rohstoffe und des Energiebedarfs, 1,8 kg CO2eq pro Teller betragen (Mgew=1,78 kg CO2eq; [0,22-3,36]). Zur Vereinfachung des Erhebungsprozesses wurden anknüpfend an diese Ergebnisse Pauschalisierungsansätze zur vereinfachten Emissionsallokation im Gastrosektor evaluiert und in Form eines appgestützten Berechnungstools umgesetzt. Es konnte verifiziert werden, dass der Energiebedarf und die daraus resultierenden Emissionen unabhängig von der Beschaffenheit der Gerichte auf die Anzahl produzierter Gerichte alloziert werden können und die Ausgabewerte dennoch hinreichend belastbar sind (Abweichung <10 %).
In dieser Studie konnte gezeigt werden, dass am untersuchten Standort Skaleneffekte hinsichtlich der Anzahl produzierter Gerichte und Strombedarf pro Gericht auftreten. Beide Faktoren korrelieren stark negativ miteinander (r=-.78; p<.05). Zur Verifikation der Ergebnisse wurde eine Datenabfrage unter allen deutschen Studierendenwerken (N=57) hinsichtlich des Energiebedarfs und der Produktionsmengen in Hochschulmensen durchgeführt. Aus den Daten von 42 Standorten konnten für das Jahr 2018 prognostizierte Gesamtemissionen in Höhe von 174.275 Tonnen CO2eq, verursacht durch etwa 98 Millionen verkaufte Gerichte, ermittelt werden. Im Gegensatz zur durchgeführten Standort-Studie konnten die Skaleneffekte, d.h. sinkender Strombedarf pro Teller bei steigender Produktionszahl, bei der deutschlandweiten Datenerhebung statistisch nicht nachgewiesen werden
(r=-.29; p=.074).
Im Anschluss wurden mögliche Label-Formate für Carbon Footprints evaluiert, indem vier vorbereitete Label unterschiedlicher Beschaffenheit (absolute Zahlen, einordnend, vergleichend und wertend) in sechs Fokusgruppen mit insgesamt 17 Teilnehmer:innen im Alter zwischen 20 und 31 Jahren (M=25,12; SD=3,31) diskutiert wurden. Im Ergebnis zeigte sich, dass bei den Teilnehmer:innen ein breiter Wunsch nach der Ausweisung absoluter Zahlen bestand. Zur besseren Einordnung sollte ein Label zudem einordnende Elemente enthalten. Wertende Label in Form von Ampelsymbolen oder Smileys mit unterschiedlichen Emotionen wurden überwiegend abgelehnt. Ableitend aus den Erkenntnissen konnten zwei synthetisierende Label-Vorschläge entwickelt werden.
The daily dose of health information: A psychological view on the health information seeking process
(2021)
The search for health information is becoming increasingly important in everyday life, as well as socially and scientifically relevant Previous studies have mainly focused on the design and communication of information. However, the view of the seeker as well as individual
differences in skills and abilities has been a neglected topic so far. A psychological perspective on the process of searching for health information would provide important starting points for promoting the general dissemination of relevant information and thus improving health behaviour and health status. Within the present dissertation, the process of seeking health information was thus divided into sequential stages to identify relevant personality traits and skills. Accordignly, three studies are presented that focus on one stage
of the process respectively and empirically test potential crucial traits and skills: Study I investigates possible determinants of an intention for a comprehensive search for health information. Building an intention is considered as the basic step of the search process.
Motivational dispositions and self-regulatory skills were related to each other in a structural equation model and empirically tested based on theoretical investigations. Model fit showed an overall good fit and specific direct and indirect effects from approach and avoidance
motivation on the intention to seek comprehensively could be found, which supports the theoretical assumptions. The results show that as early as the formation of intention, the psychological perspective reveals influential personality traits and skills. Study II deals with the subsequent step, the selection of information sources. The preference for basic characteristics of information sources (i.e., accessibility, expertise, and interaction) is related to health information literacy as a collective term for relevant skills and intelligence as a personality trait. Furthermore, the study considers the influence of possible over- or underestimation of these characteristics. The results show not only a different predictive
contribution of health literacy and intelligence, but also the relevance of subjective and objective measurement.
Finally, Study III deals with the selection and evaluation of the health information previously found. The phenomenon of selective exposure is analysed, as this can be considered problematic in the health context. For this purpose, an experimental design was implemented in which a varying health threat was suggested to the participants. Relevant information was presented and the selective choice of this information was assessed. Health literacy was tested
as a moderator in a function of the induced threat and perceived vulnerability, triggering defence motives on the degree of bias. Findings show the importance of the consideration of the defence motives, which could cause a bias in the form of selective exposure. Furthermore, health literacy even seems to amplify this effect.
Results of the three studies are synthesized, discussed and general conclusions are drawn and implications for further research are determined.
The ability to acquire knowledge helps humans to cope with the demands of the environment. Supporting knowledge acquisition processes is among the main goals of education. Empirical research in educational psychology has identified several processes mediated through that prior knowledge affects learning. However, the majority of studies investigated cognitive mechanisms mediating between prior knowledge and learning and neglected that motivational processes might also mediate the influence. In addition, the impact of successful knowledge acquisition on patients’ health has not been comprehensively studied. This dissertation aims at closing knowledge gaps on these topics with the use of three studies. The first study is a meta-analysis that examined motivation as a mediator of individual differences in knowledge before and after learning. The second study investigated in greater detail the extent to which motivation mediated the influence of prior knowledge on knowledge gains in a sample of university students. The third study is a second-order meta-analysis synthesizing the results of previous meta-analyses on the effects of patient education on several health outcomes. The findings of this dissertation show that (a) motivation mediates individual differences in knowledge before and after learning; (b) interest and academic self-concept stabilize individual differences in knowledge more than academic self-efficacy, intrinsic motivation, and extrinsic motivation; (c) test-oriented instruction closes knowledge gaps between students; (d) students’ motivation can be independent of prior knowledge in high aptitude students; (e) knowledge acquisition affects motivational and health-related outcomes; and (f) evidence on prior knowledge and motivation can help develop effective interventions in patient education. The results of the dissertation provide insights into prerequisites, processes, and outcomes of knowledge acquisition. Future research should address covariates of learning and environmental impacts for a better understanding of knowledge acquisition processes.
Teamwork is ubiquitous in the modern workplace. However, it is still unclear whether various behavioral economic factors de- or increase team performance. Therefore, Chapters 2 to 4 of this thesis aim to shed light on three research questions that address different determinants of team performance.
Chapter 2 investigates the idea of an honest workplace environment as a positive determinant of performance. In a work group, two out of three co-workers can obtain a bonus in a dice game. By misreporting a secret die roll, cheating without exposure is an option in the game. Contrary to claims on the importance of honesty at work, we do not observe a reduction in the third co-worker's performance, who is an uninvolved bystander when cheating takes place.
Chapter 3 analyzes the effect of team size on performance in a workplace environment in which either two or three individuals perform a real-effort task. Our main result shows that the difference in team size is not harmful to task performance on average. In our discussion of potential mechanisms, we provide evidence on ongoing peer effects. It appears that peers are able to alleviate the potential free-rider problem emerging out of working in a larger team.
In Chapter 4, the role of perceived co-worker attractiveness for performance is analyzed. The results show that task performance is lower, the higher the perceived attractiveness of co-workers, but only in opposite-sex constellations.
The following Chapter 5 analyzes the effect of offering an additional payment option in a fundraising context. Chapter 6 focuses on privacy concerns of research participants.
In Chapter 5, we conduct a field experiment in which, participants have the opportunity to donate for the continuation of an art exhibition by either cash or cash and an additional cashless payment option (CPO). The treatment manipulation is completed by framing the act of giving either as a donation or pay-what-you-want contribution. Our results show that donors shy away from using the CPO in all treatment conditions. Despite that, there is no negative effect of the CPO on the frequency of financial support and its magnitude.
In Chapter 6, I conduct an experiment to test whether increased transparency of data processing affects data disclosure and whether the results change if it is indicated that the implementation of the GDPR happened involuntarily. I find that increased transparency raises the number of participants who do not disclose personal data by 21 percent. However, this is not the case in the involuntary-signal treatment, where the share of non-disclosures is relatively high in both conditions.
This thesis contributes to the economic literature on India and specifically focuses on investment project (IP) location choice. I study three topics that naturally arise in sequence: geographic concentration of investment projects, the determinants of the location choices, and the impact these choices have on project success.
In Chapter 2, I provide the analysis of geographic concentration of IPs. I find that investments were concentrated over the period of observation (1996–2015), although the degree of concentration was decreasing. Additionally, I analyze different subsamples of the data set by ownership (Indian private, Indian public and foreign) and project status (completed or dropped). Foreign projects in all industries are more concentrated than private and public, while for the latter categories I identify only minor differences in concentration levels. Additionally, I find that the location patterns of completed and dropped investments are similar to that of the overall distribution and the distributions of their respective industries with completed IPs being somewhat more concentrated.
In Chapter 3, I study the determinants of project location choices with the focus on an important highway upgrade, the Golden Quadrilateral (GQ). In line with the existing literature, the GQ construction is connected to higher levels of investment in the affected non-nodal GQ districts in 2002–2016. I also provide suggestive evidence on changes in firm behavior after the GQ construction: Firms located in the non-nodal GQ districts became less likely to invest in their neighbor districts after the GQ completion compared to firms located in districts unaffected by the GQ construction.
Finally, in Chapter 4, I investigate the characteristics of IPs that may contribute to discontinuation of their implementation by comparing completed investments to dropped ones, defined as abandoned, shelved, and stalled investments as identified on the date of the data download. Controlling for local and business cycle conditions, as well as various investor and project characteristics, I show that projects located in close proximity to the investor offices (i.e., in the same district) are more likely to achieve the completion stage than more remote projects.
While women's evolving contribution to entrepreneurship is irrefutable, in almost all nations, gender disparity is an existing reality of entrepreneurship. Social and economic outcomes make women entrepreneurship an important area for scholars and governments. In attempts to find reasons for this gender disparity, academic scholars evaluated various factors and recognised perceptual variables as having outstanding explanatory value in understanding women's entrepreneurship. To advance our knowledge of gender disparity in entrepreneurship, the present study explores the influence of entrepreneurial perceptual variables on women's entrepreneurship and considers the critical role of country-level institutional contexts on the women's entrepreneurial propensity. Therefore, this study examines the impact of perceptual variables in different nations. It also offers connections between entrepreneurial perceptions, women entrepreneurship, and institutional contexts as a critical topic for future studies.
Drawing on the importance of perceptual factors, this dissertation investigates whether and how their perception of entrepreneurial networks influences the individuals' decision to initiate a new venture. Prior scholars considered exposure to entrepreneurial role models as one of the most influential factors on the women's inclination towards entrepreneurship; thus, a systemized analysis makes it possible to identify existing research gaps related to this perception. Hence, to draw a clear picture of the relationship between entrepreneurial role models and entrepreneurship, this dissertation provides a systemized overview of prior studies. Subsequently, Chapter 2 structures the existing literature on entrepreneurial role models and reveals that past literature has focused on the different types of role models, the stage of life at which the exposure to role models occurs, and the context of the exposure. Current discourse argues that the women's lower access to entrepreneurial role models negatively influences their inclination towards entrepreneurship.
Additionally, although the research on women entrepreneurship has proliferated in recent years, little is known about how entrepreneurial perceptual variables form women's propensity towards entrepreneurship in various institutional contexts. The work of Koellinger et al. (2013), hereafter KMS, is one of the most influential papers that investigated the influence of perceptual variables, and it showed that a lower rate of women entrepreneurship is associated with a lower level of their entrepreneurial network, perceived entrepreneurial capability, and opportunity evaluation and with a higher fear of entrepreneurial failure. Thus, this dissertation replicates the work of KMS. Chapter 3 explicitly investigates the influence of the above perceptions on women's entrepreneurial propensity. This research has drawn data from the Global Entrepreneurship Monitor, a cross-national individual-level data set (2001-2006) covering 236,556 individuals across 17 countries. The results of this chapter suggest that gender disparities in entrepreneurial propensity are conditioned by differences in entrepreneurial perceptual variables. Women's lower levels of perceived entrepreneurial capability, entrepreneurial role models and opportunity evaluation and their higher fear of failure lead to lower entrepreneurial propensity.
To extend and generalise the relationship between perceptions and women's entrepreneurial propensity, in Chapter 4, two studies are conducted based on replicated research. Extension 1 generalises the results of KMS by using the same analysis on more recent data. Accordingly, this research implemented the same analysis on 372,069 individuals across the same countries (2011-2016). The recent data show that although gender disparity became significantly weaker, the gender gap is still in men's favour. However, similarly to the replicated study, this research revealed that perceptual factors explain a larger part of the gender disparity. To strengthen prior empirical evidence, in extension 2, utilising a sample of 1,029,863 individuals from 71 countries (2011-2016), the study conducted the same measures and analysis in a more global setting. By including developing countries, gender disparity in entrepreneurial propensity decreased significantly. The study revealed that the relative significance of the influences of perceptions' differs significantly across nations; however, perceptions have a worldwide effect. Moreover, this research found that the ratio of nascent women entrepreneurs in less developed countries to those in more developed nations is 2. More precisely, a higher level of economic development negatively influences the impact of perceptions on women's entrepreneurial propensity.
Whereas prior scholars increasingly underlined the importance of perceptions in explaining a large part of gender disparities in entrepreneurship, most of the prior investigations focused on nascent (early-stage) entrepreneurship, and evidence on the relationship between perceptions and other types of self-employment, such as innovative entrepreneurship, is scant. Innovation is a confirmed key driver of a firm's sustainability, higher competitive capability, and growth. Therefore, Chapter 5 investigates the influence of perceptions on women's innovative entrepreneurship. The chapter points out that entrepreneurial perceptions are the main determinants of the women's decision to offer a new product or service. This chapter also finds that women's innovative entrepreneurship is associated with the country's specific economic setting.
Overall, by underlining the critical role of institutional contexts, this dissertation provides considerable insights into the interaction between perceptions and women entrepreneurship, and its results have implications for policymakers and practitioners, who may find it helpful to consider women entrepreneurship in systemized challenges. Formal and informal barriers affect women's entrepreneurial perceptions and can differ from one country to the other. In this sense, it is crucial to design operational plans to mitigate formal and stereotypical challenges, and thus, more women will be able to start a business, particularly in developing countries in which women significantly comprise a smaller portion of the labour markets. This type of policy could write the "rules of the game" such that these rules enhance the women's propensity towards entrepreneurship.
In vielen Branchen und vor allem in großen Unternehmen gehört eine Unterstützung von Geschäftsprozessen durch Workflow-Management-Systeme zum gelebten Alltag. Im Zentrum steht dabei die Steuerung kontrollflussorientierter Abläufe, während Prozesse mit einem Schwerpunkt auf Daten, Informationen und Wissen meist außen vor bleiben. Solche wissensintensive Prozesse (engl.: knowledge intensive processes) (KiPs) sind Untersuchungsgegenstand in vielen aktuellen Studien, welche ein derzeit aktives Forschungsgebiet formen.
Im Vordergrund solcher KiPs steht dabei das durch die mitwirkenden Personen eingebrachte Wissen, welches in einem wesentlichen Maß die Prozessausführung beeinflusst, hierdurch jedoch die Bearbeitung komplexer und meist hoch volatiler Prozesse ermöglicht. Hierbei handelt es sich zumeist um entscheidungsintensive Prozesse, Prozesse zur Wissensakquisition oder Prozesse, die zu einer Vielzahl unterschiedlicher Prozessabläufe führen können.
Im Rahmen dieser Arbeit wird ein Ansatz entwickelt und vorgestellt, der sich der Modellierung, Visualisierung und Ausführung wissensintensiver Prozesse unter Verwendung Semantischer Technologien widmet. Hierzu werden als die zentralen Anforderungen zur Ausführung von KiPs Flexibilität, Adaptivität und Zielorientierung definiert. Daran anknüpfend werden drei zentrale Grundprinzipien der Prozessmodellierung identifiziert, welche in der ersten Forschungsfrage aufgegriffen werden: „Können die drei Grundprinzipien in einem einheitlichen datenzentrierten, deklarativen, semantischen Ansatz (welcher mit ODD-BP bezeichnet wird) kombiniert werden und können damit die zentralen Anforderungen von KiPs erfüllt werden?”
Die Grundlage für ODD-BP bildet ein Metamodell, welches als Sprachkonstrukt fungiert und die Definition der angestrebten Prozessmodelle erlaubt. Darauf aufbauend wird mit Hilfe von Inferenzierungsregeln ein Verfahren entwickelt, welches das Schlussfolgern von Prozesszuständen ermöglicht und somit eine klassische Workflow-Engine überflüssig macht. Zudem wird eine Methodik eingeführt, die für jede in einem Prozess mitwirkende Person eine maßgeschneiderte, adaptive Prozessvisualisierung ermöglicht, um neben dem Freiheitsgrad der Flexibilität auch eine fundierte Prozessunterstützung bei der Ausführung von KiPs leisten zu können. All dies erfolgt innerhalb einer einheitlichen Wissensbasis, die zum einen die Grundlage für eine vollständige semantische Prozessmodellierung bildet und zum anderen die Möglichkeit zur Integration von Expertenwissen eröffnet. Dieses Expertenwissen kann einen expliziten Beitrag bei der Ausführung wissensintensiver Prozesse leisten und somit die Kollaboration von Mensch und Maschine durch Technologien der symbolischen KI ermöglichen. Die zweite Forschungsfrage greift diesen Aspekt auf: „Kann in dem ODD-BP Ansatz ontologisches Wissen so integriert werden, dass dieses in einer Prozessausführung einen Beitrag leistet?”
Das Metamodell sowie die entwickelten Methoden und Verfahren werden in einem prototypischen, generischen System realisiert, welches grundsätzlich für alle Anwendungsgebiete mit KiPs geeignet ist. Zur Validierung des ODD-BP Ansatzes erfolgt eine Ausrichtung auf den Anwendungsfall einer Notrufabfrage aus dem Leitstellenumfeld. Im Zuge der Evaluation wird gezeigt, wie dieser wissensintensive Ablauf von einer flexiblen, adaptiven und zielorientierten Prozessausführung profitiert. Darüber hinaus wird medizinisches Expertenwissen in den Prozessablauf integriert und es wird nachgewiesen, wie dieses zu verbesserten Prozessergebnissen beiträgt.
Wissensintensive Prozesse stellen Unternehmen und Organisationen in allen Branchen und Anwendungsfällen derzeit vor große Herausforderungen und die Wissenschaft und Forschung widmet sich der Suche nach praxistauglichen Lösungen. Diese Arbeit präsentiert mit ODD-BP einen vielversprechenden Ansatz, indem die Möglichkeiten Semantischer Technologien dazu genutzt werden, eine eng verzahnte Zusammenarbeit zwischen Mensch und Maschine bei der Ausführung von KiPs zu ermöglichen. Die zur Evaluation fokussierte Notrufabfrage innerhalb von Leitstellen stellt zudem einen höchst relevanten Anwendungsfall dar, da in einem akuten Notfall in kürzester Zeit Entscheidungen getroffen werden müssen, um weitreichenden Schaden abwenden und Leben retten zu können. Durch die Berücksichtigung umfassender Datenmengen und das Ausnutzen verfügbaren Expertenwissens kann so eine schnelle Lagebewertung mit Hilfe der maschinellen Unterstützung erreicht und der Mensch beim Treffen von richtigen Entscheidungen unterstützt werden.
Die vorliegende Studie untersucht die Besonderheiten diskursiver Strategien, sowie struktureller und sprachlicher Merkmale der japanischsprachigen Textsorte Literatur-Rezension. Auf der Grundlage der herausgearbeiteten textlinguistischen Merkmale werden Didaktisierungsbeispiele für den Fachtext-Leseunterricht entworfen. Ziel ist somit der Entwurf einer textlinguistischen Fundierung der (Fach-)textlektüre am Beispiel der Textsorte Rezension.
Die Materialbasis der vorliegenden Studie bilden 45 Rezensionen literarischer Neuerscheinungen aus dem wöchentlich erscheinenden Rezensionsorgan Tosho shinbun (Die Bücherzeitung) des Jahres 1999.
Die Kriterien für die Analyse werden aus einem Modell des Textsortenwissens von Fix 2006 abgeleitet (Teil I). Bei der Analyse stehen daher Aspekte im Zentrum, die den Aufbau von Wissen (Schemata) über die Textsorte bzw. Textsortenkonventionen und deren struktureller und sprachlicher Realisationen dienen können. Übergeordnete Phänomene wie Tempusgebrauch oder Fachsprachlichkeit werden ebenfalls untersucht. Eine quantitative Auswertung der Ergebnisse ermöglicht Rückschlüsse auf die didaktische Relevanz eines beobachteten Phänomens (Teil II).
Kriterien zur Textauswahl und Progression bei der Didaktisierung ausgewählter Rezensionen liefert ein Ansatz von Sandig 2000, die eine Klassifizierung von Texten auf der Grundlage der Prototypentheorie vorschlägt. Danach verdichten sich bestimmte Kommunikationsmuster zu mentalen Textschemata mit unterschiedlichen Ausprägungen je nach Prototypikalität der Texteigenschaften.
Das konstruktivistische Leseprozessmodell von Wolff 1990 schließlich liefert die Vorgaben, nach denen die Ergebnisse der Textanalyse anhand ausgewählter Beispiele lesedidaktisch aufbereitet werden (Teil III).
Der Anhang (Teil IV) bietet eine Zusammenstellung von in den untersuchten Rezensionen verwendeten Ausdrücken, der sich auf die Darstellung, Interpretation, Analyse und Bewertung von literarischen Werken beziehen.