@article{BrandWolffZiegler2016,
  author    = {Brand, Ralf and Wolff, Wanja and Ziegler, Matthias},
  title     = {Drugs As Instruments: Describing and Testing a Behavioral Approach to the Study of Neuroenhancement},
  series = {Frontiers in psychology},
  volume    = {7},
  journal   = {Frontiers in psychology},
  publisher = {Frontiers Research Foundation},
  address   = {Lausanne},
  issn      = {1664-1078},
  doi       = {10.3389/fpsyg.2016.01226},
  pages     = {11},
  year      = {2016},
  language  = {en}
}
@article{BrandHeckZiegler2014,
  author    = {Brand, Ralf and Heck, Philipp and Ziegler, Matthias},
  title     = {Illegal performance enhancing drugs and doping in sport: a picture-based},
  series = {Substance abuse treatment, prevention, and policy},
  volume    = {9},
  journal   = {Substance abuse treatment, prevention, and policy},
  publisher = {BioMed Central},
  address   = {London},
  issn      = {1747-597X},
  doi       = {10.1186/1747-597X-9-7},
  pages     = {11},
  year      = {2014},
  abstract  = {Method: Following a known-group differences validation strategy, the doping attitudes of 43 athletes from bodybuilding (representative for a highly doping prone sport) and handball (as a contrast group) were compared using the picture-based doping-BIAT. The Performance Enhancement Attitude Scale (PEAS) was employed as a corresponding direct measure in order to additionally validate the results. Results: As expected, in the group of bodybuilders, indirectly measured doping attitudes as tested with the picture-based doping-BIAT were significantly less negative (eta(2) = .11). The doping-BIAT and PEAS scores correlated significantly at r = .50 for bodybuilders, and not significantly at r = .36 for handball players. There was a low error rate (7\%) and a satisfactory internal consistency (r(dagger dagger) = .66) for the picture-based doping-BIAT. Conclusions: The picture-based doping-BIAT constitutes a psychometrically tested method, ready to be adopted by the international research community. The test can be administered via the internet. All test material is available "open source". The test might be implemented, for example, as a new effect-measure in the evaluation of prevention programs.},
  language  = {en}
}
@article{ZieglerEhrlenspielBrand2009,
  author    = {Ziegler, Matthias and Ehrlenspiel, Felix and Brand, Ralf},
  title     = {Latent state-trait theory : an application in sport psychology},
  issn      = {1469-0292},
  doi       = {10.1016/j.psychsport.2008.12.004},
  year      = {2009},
  abstract  = {Objective: Questionnaires are often applied in sports psychology to measure a person's trait or state. However, the extent to which the questionnaire captures differences because of trait or state influences is often unclear. The latent state-trait (LST) theory offers the opportunity to separate both variance sources. This separation allows estimating specific reliability coefficients. Design: The present paper gives a theoretical introduction to LST and its basic ideas. Using a real data set with N = 156 athletes we exemplify the steps necessary to derive the LST coefficients. All athletes filled out a comprehensive inventory assessing competitive anxiety on two occasions. Method: The data are analysed with structural equation models based on LST principles. Results: The results confirm the questionnaire's trait saturation. Conclusion: Finally, results are discussed in light of practical and theoretical implications.},
  language  = {en}
}
@article{EngelJacobsFydrichetal.2015,
  author    = {Engel, Mareike Carina and Jacobs, Ingo and Fydrich, Thomas and Ziegler, Matthias},
  title     = {Physical and psychological burden of psychotherapists in training},
  series = {Psychotherapeut},
  volume    = {60},
  journal   = {Psychotherapeut},
  number    = {6},
  publisher = {Springer},
  address   = {New York},
  issn      = {0935-6185},
  doi       = {10.1007/s00278-015-0055-2},
  pages     = {536 -- 545},
  year      = {2015},
  abstract  = {The demanding working and training conditions of psychotherapists in training (PiA) are discussed more and more frequently from social and research perspectives. The complementary focus on job and training pressure and its consequences have received little attention so far. The nationwide survey (N = 464) contains information on essential person-related and training-related risk factors and resources. Moreover, the study provides comparisons concerning different professional categories with high psychological and social demands as well as with the training conditions of psychotherapists in 2009. The study shows the difficulties and demanding situation of financing the training. The PiAs showed significantly higher stress levels than other groups of persons and comparably low resilience combined with a high working engagement. Only a few PiAs had a healthy behavioral and perceptional work pattern. The results underline the necessity for an examination of the training and working conditions of PiAs. Accordingly, options for interventions are presented.},
  language  = {de}
}
@article{HeissEngbertGroepeletal.2010,
  author    = {Heiss, Christian and Engbert, Kai and Groepel, Peter and Ziegler, Matthias and Brand, Ralf},
  title     = {Self-leadership and volition : distinct and potentially supplemental constructs?},
  issn      = {0033-2941},
  doi       = {10.2466/01.03.07.14.Pr0.107.5.447-462},
  year      = {2010},
  abstract  = {Self-leadership and volition are conceptually similar concepts. Both propose self-influence strategies that aim to improve the motivation and self-direction necessary to perform well. The present study assesses whether self- leadership strategies maintain construct-specific variance when compared with the similar strategies of volition. Results from a questionnaire study (N=320) indicate that self-leadership and volitional strategies are distinguishable and only moderately (r=.33) correlated. Self-leadership, therefore, supplements volition during goal attainment. Findings are discussed in light of the Rubicon model of action phases.},
  language  = {en}
}