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Dissertation
An Investigation of the Lie-Telling Personality Type Within Different Social Contexts
(2023)
The present work aimed to further develop and refine the nomological net of personality traits predicting deception within the specific context of romantic relationships, as well as within the academic context. The main findings are that the already established correlation between Honesty-Humility and general deceptive behavior also reliable emerged for relationship-based dishonesty and academic cheating; however, against general deception research, when examining the specific context of romantic relationships, the ...
Dissertation
Removing Barriers for Integrating Dimensional Conceptualisations of Personality Disorders into Clinical Practice
(2023)
The present dissertation investigated the utility of dimensional personality disorder (PD) models for clinical practice, specifically focusing on the Alternative Model of Personality Disorders (AMPD) as implemented in the DSM-5 and the dimensional PD conceptualization in the ICD-11. The dissertation research consisted of three studies that addressed various aspects of clinical utility of dimensional PD models, including practical utility regarding assessment of the severity of personality pathology, the quantification ...
Dissertation
Learning through Self-Explanation
(2023)
In this dissertation, the effectiveness of learning through self-explanation was examined through a series of experiments. The primary focus was on the acquisition of factual knowledge. Learners' self-explanations were coded and categorized into correct inferences, correct paraphrases, and false utterances.
Aufsatz
Implementing Distributed Practice in Statistics Courses: Benefits for Retention and Transfer
(2020-11-18)
The present study investigated the effect of distributed versus crammed practice before a course deadline on the retention and transfer of knowledge, and whether learner characteristics moderate the effect. In Experiment 1, only 41% (N = 38) of the initially enrolled students worked the voluntary but recommended practice tasks. Moreover, markedly fewer students did so in the distributed condition (12%) than the crammed practice condition (29%). In Experiment 2, working the practice tasks was mandatory and more students ...
Aufsatz
Caught in the Act: Predicting Cheating in Unproctored Knowledge Assessment
(2020-05-20)
Cheating is a serious threat in unproctored ability assessment, irrespective of countermeasures taken, anticipated consequences (high vs. low stakes), and test modality (paper-pencil vs. computer-based). In the present study, we examined the power of (a) self-report-based indicators (i.e., Honesty-Humility and Overclaiming scales), (b) test data (i.e., performance with extremely difficult items), and (c) para data (i.e., reaction times, switching between browser tabs) to predict participants’ cheating behavior. To ...
Aufsatz
On the Trail of Creativity: Dimensionality of Divergent Thinking and its Relation with Cognitive Abilities, Personality, and Insight
(2020-12-02)
Divergent thinking (DT) is an important constituent of creativity that captures aspects of fluency and originality. The literature lacks multivariate studies that report relationships between DT and its aspects with relevant covariates, such as cognitive abilities, personality traits (e.g. openness), and insight. In two multivariate studies (N = 152 and N = 298), we evaluate competing measurement models for a variety of DT tests and examine the relationship between DT and established cognitive abilities, personality ...
Dissertation
Promises and Pitfalls of Machine Learning Modeling in Psychological Research
(2024)
Algorithmen des maschinellen Lernens werden in der Psychologie und ihren Teildisziplinen immer beliebter. Sie werden häufig dafür angepriesen, dass sie mit der Multikollinearität von Prädiktorvariablen und komplexen Beziehungen zwischen Prädiktoren und Kriterien effizient umgehen können. Trotz ihrer Vorteile werden auch immer mehr kritische Stimmen laut, die auf die derzeitigen Grenzen von Vorhersagen durch maschinelles Lernen hinweisen und die Frage aufwerfen, ob die Algorithmen den Erwartungen gerecht werden. ...
Dissertation
Towards A Better Understanding of Workplace Coaching: On Goal Activities, Exploration Practices, and Coaches’ Life Satisfaction
(2020)
Whereas there is a high and ever-increasing demand for coaching worldwide (International Coach Federation, 2016) and meta-analytical findings suggest that coaching is generally effective (e.g., Jones et al., 2016; Sonesh, Coultas, Lacerenza et al., 2015), little is still known about standards for “good” coaching practice (e.g., Bono et al., 2009; Vandaveer et al., 2016). Across three studies, this dissertation investigates relevant facets of coaching practice. It addresses the questions of how coaches practice workplace ...
Dissertation
Sound Matters
(2021-08)
Language sounds, i.e., phonemes, are believed not to bear any meaning themselves, only at the word level, meaning is created. However, numerous studies over the past 100 years have revealed iconic relationships, i.e., a certain fit, between language sounds and word meanings, with regard to several semantic dimensions, such as size, shape, brightness, or distance. This suggests iconicity as a functional mechanism in language. To examine the underlying cognitive processes, a holistic operationalization of iconicity in ...