Motivational variables are considered fundamental factors influencing the occurrence of behavior. The current study compared different types of motivational variables (implicit and explicit motive ...dispositions, motivation as states and as aggregated person-level variables) in their ability to predict communal and agentic behavior reports in intimate relationships. 510 individuals completed measures of dispositional communion and agency motives and participated in a dyadic experience sampling study with five assessments per day across four weeks. They reported on their momentary communal and agentic motivation, as well as on their own and their partner’s behaviors. All examined types of motivational variables predicted certain behavior reports on the between-person or within-person level and had incremental effects beyond the other motivational variables in at least one motive domain. Directly replicating and conceptually extending prior research, the effects of motivational states and their aggregates were consistently found across behavioral outcomes, across self- and partner-reports and across the motive domains of communion and agency. Using the example of motivational states, the general value of assessing within-person variables for psychological phenomena in ESM-designs is discussed.
This dissertation investigates to which extent internal working models of relationships and personality characteristics of participants are transferred to computer-generated agents in a virtual ...social environment (VSE). For this purpose a VSE was created that was populated with several autonomous agents which interacted with each other. Participants can control one of the the agents (the "protagonist"); one of the other agents is the spouse of the protagonist. Using this setup, a potential projection screen for the dynamics of the real-life relationship, as well as for generalized internal working models was created.
Chapter 1 summarizes the research question, gives an overview of the development of the VSE called "Simoland", and provides a general summary and conclusion about the dissertation. Chapters 2 - 4 each are self-contained manuscripts. Chapter 2 („The challenge of constructing psychologically believable agents“) is a theoretical article which describes
challenges and new possibilities in the implementation of psychological models into autonomous agents.
Chapter 3 („Virtual social environments as a tool for psychological assessment: Dynamics of interaction with a virtual spouse“) describes the first empirical study conducted in Simoland. This study demonstrates how intrapersonal changes in interaction behavior can be investigated in VSEs. With a sample of 236 participants I could show that both the relationship satisfaction with the real life partner, and the intimacy motive of the participant had an influence on the behavior towards the virtual spouse. Hence, it could be shown that virtual behavior indeed is connected to conditions of the real world. While the first study investigated unrestricted behavior in an open world, in Chapter 4
(„Transference of adult attachment dynamics to a virtual spouse“) specific, theoretically derived scenes were created which were supposed to activate the attachment system. With a sample of 422 participants we could demonstrate interindividual differences in attachment behavior as a reaction to one of three scenes: a separation, a conflict with the virtual spouse, and a threatening situation. Both attachment anxiety and attachment avoidance significantly and meaningfully correlated with the behavior in the VSE, the physical distance between protagonist and virtual spouse, and emotional ratings. To summarize, this dissertation for the first time shows that qualities of real-life relationships, as well as internal working models of attachment, are transferred to virtual agents. Thereby new ways are opened to investigate behavior in close relationships and representations of significant others through virtual scenarios.
Diese Dissertation untersucht, inwieweit Beziehungsrepräsentationen und Persönlichkeitsmerkmale von Personen auf computergenerierte Agenten in einer virtuellen sozialen Umgebung (VSU) übertragen werden. Dazu wurde eine VSU erstellt, in der Teilnehmer eine virtuelle Figur (den „Protagonisten“) steuern können, welche wiederum mit anderen autonomen Agenten interagiert. Einer dieser anderen Agenten ist der virtuelle Partner/ die virtuelle Partnerin des Protagonisten, womit eine mögliche Projektionsfläche für die Beziehungsdynamik der realen Partnerschaft sowie für generalisierte interne Arbeitsmodelle von Beziehungen hergestellt wurde.
Kapitel 1 fasst die Forschungsfrage zusammen und beschreibt den Entstehungsprozess der VSU namens „Simoland“, und gibt eine kurze Zusammenfassung der Gesamtergebnisse.
Kapitel 2 – 4 stellen jeweils eigenständige Manuskripte dar. Kapitel 2 („The challenge of constructing psychologically believable agents“) ist ein theoretischer Artikel, der
Herausforderungen und neue Wege beschreibt wie psychologische Modelle in autonome Agent implementiert werden können.
Kapitel 3 („Virtual social environments as a tool for psychological assessment: Dynamics of interaction with a virtual spouse“) beschreibt die erste psychologische Untersuchung in Simoland, welche demonstriert wie intraindividuelle Entwicklung im Interaktionsverhalten
untersucht werden kann. An einer Stichprobe von 236 Teilnehmern konnte gezeigt werden, dass sowohl die Beziehungszufriedenheit zum realen Partner, als auch das Intimitätsmotiv der Teilnehmer einen Einfluss auf das Verhalten in der VSU hatten, und somit das virtuelle Verhalten tatsächlich verknüpft ist mit der realen Welt.
Während die erste Studie freies Verhalten untersucht hat, wurden in der zweiten Studie theoriegeleitet verschiedene Szenarien hergestellt, welche das Bindungssystem aktivieren sollen.
(Kapitel 4: „Transference of adult attachment dynamics to a virtual spouse“). Dadurch konnten an 422 Teilnehmern interindividuelle Unterschiede im Bindungsverhalten als Reaktion auf folgende Szenen gezeigt werden: eine Trennungssituation, eine Konfliktsituation, sowie eine
Bedrohungssituation. Die dimensionalen Bindungsstile (Bindungsvermeidung und Bindungsängstlichkeit) korrelierten sinnvoll und signifikant mit dem Verhalten in der VSU, der
physikalischen Distanz zwischen Protagonist und Partner/in, sowie Emotionseinschätzungen.
Zusammenfasst zeigt diese Dissertation zum ersten Mal, dass Qualitäten der realen Partnerschaft, sowie interne Arbeitsmodelle der Bindung auf virtuelle Agenten übertragen
werden. Somit werden neue Wege eröffnet, Beziehungsverhalten und -repräsentationen in virtuellen Szenarien zu untersuchen.
Dyadic similarity effect hypotheses state that the (dis)similarity between dyad members (e.g. the similarity on a personality dimension) is related to a dyadic outcome variable (e.g. the relationship ...satisfaction of both partners). Typically, these hypotheses have been investigated by using difference scores or other profile similarity indices as predictors of the outcome variables. These approaches, however, have been vigorously criticized for their conceptual and statistical shortcomings. Here, we introduce a statistical method that is based on polynomial regression and addresses most of these shortcomings: dyadic response surface analysis. This model is tailored for similarity effect hypotheses and fully accounts for the dyadic nature of relationship data. Furthermore, we provide a tutorial with an illustrative example and reproducible R and Mplus scripts that should assist substantive researchers in precisely formulating, testing, and interpreting their dyadic similarity effect hypotheses.
The investigation of within-person process models, often done in experience sampling designs, requires a reliable assessment of within-person change. In this paper, we focus on dyadic intensive ...longitudinal designs where both partners of a couple are assessed multiple times each day across several days. We introduce a statistical model for variance decomposition based on generalizability theory (extending P. E. Shrout & S. P. Lane, 2012), which can estimate the relative proportion of variability on four hierarchical levels: moments within a day, days, persons, and couples. Based on these variance estimates, four reliability coefficients are derived: between-couples, between-persons, within-persons/between-days, and within-persons/between-moments. We apply the model to two dyadic intensive experience sampling studies (n1 = 130 persons, 5 surveys each day for 14 days, ≥ 7508 unique surveys; n2 = 508 persons, 5 surveys each day for 28 days, ≥ 47764 unique surveys). Five different scales in the domain of motivational processes and relationship quality were assessed with 2 to 5 items: State relationship satisfaction, communal motivation, and agentic motivation; the latter consists of two subscales, namely power and independence motivation. Largest variance components were on the level of persons, moments, couples, and days, where within-day variance was generally larger than between-day variance. Reliabilities ranged from .32 to .76 (couple level), .93 to .98 (person level), .61 to .88 (day level), and .28 to .72 (moment level). Scale intercorrelations reveal differential structures between and within persons, which has consequences for theory building and statistical modeling.
For a given research question, there are usually a large variety of possible analysis strategies acceptable according to the scientific standards of the field, and there are concerns that this ...multiplicity of analysis strategies plays an important role in the non-replicability of research findings. Here, we define a general framework on common sources of uncertainty arising in computational analyses that lead to this multiplicity, and apply this framework within an overview of approaches proposed across disciplines to address the issue. Armed with this framework, and a set of recommendations derived therefrom, researchers will be able to recognize strategies applicable to their field and use them to generate findings more likely to be replicated in future studies, ultimately improving the credibility of the scientific process.
Sample correlations converge to the population value with increasing sample size, but the estimates are often inaccurate in small samples. In this report we use Monte-Carlo simulations to determine ...the critical sample size from which on the magnitude of a correlation can be expected to be stable. The necessary sample size to achieve stable estimates for correlations depends on the effect size, the width of the corridor of stability (i.e., a corridor around the true value where deviations are tolerated), and the requested confidence that the trajectory does not leave this corridor any more. Results indicate that in typical scenarios the sample size should approach 250 for stable estimates.
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