@article{MaleszaOstaszewskiBuechneretal.2019,
  author    = {Malesza, Marta and Ostaszewski, Paweł and B{\"u}chner, Susanne and Kaczmarek, Magdalena C.},
  title     = {The adaptation of the Short Dark Triad personality measure},
  series = {Current psychology},
  volume    = {38},
  journal   = {Current psychology},
  number    = {3},
  publisher = {Springer},
  address   = {New York},
  issn      = {1046-1310},
  doi       = {10.1007/s12144-017-9662-0},
  pages     = {855 -- 864},
  year      = {2019},
  abstract  = {This research was designed to adapt and investigate the psychometric properties of the Short Dark Triad measure (Jones and Paulhus Assessment, 21(1), 28-41, 2014) in a German sample within four studies (total N=1463); the measure evaluates three personality dimensions: narcissism, psychopathy, and Machiavellianism. The structure of the instrument was analysed by Confirmatory Factor Analyses procedure. It indicated that the three-factor structure had the best fit to the data. Next, the Short Dark Triad measure was evaluated in terms of construct, convergent and discriminant validity, internal consistency ( .72), and test-retest reliability during a 4-week period ( .73). Concurrent validity of the SD3 was supported by relating its subscales to measures of the Big Five concept, aggression, and self-esteem. We concluded that the Short Dark Triad instrument presented high cross-language replicability. The use of this short inventory in the investigation of the Dark Triad personality model in the German language context is suggested.},
  language  = {en}
}
@article{MaleszaOstaszewski2017,
  author    = {Malesza, Marta and Ostaszewski, Paweł},
  title     = {Assessing individual differences in discounting},
  series = {Current psychology},
  volume    = {39},
  journal   = {Current psychology},
  number    = {1},
  publisher = {Springer},
  address   = {New York},
  issn      = {1046-1310},
  doi       = {10.1007/s12144-017-9754-x},
  pages     = {207 -- 219},
  year      = {2017},
  abstract  = {The purpose of the project was to develop the Discounting Inventory (DI), a measure of individual differences in delay, probability, effort, and social discounting, all related to behavioral impulsivity. Over 400 items relating to four types of discounting were generated. Next, a study followed by a series of psychometric analyses of data obtained from a group of 2843 individuals was conducted. Principal Component Analysis yielded a four-factor structure of data, reflecting the four types of discounting. The results of Confirmatory Factor Analysis showed good fit of the four-factor model to data. Through several iterations of retaining and deleting items on the basis of their component loadings, item intercorrelations, and contribution to coefficient alphas, the total number of items was reduced to 48. The final 48-item version of the inventory has satisfactory psychometric characteristics, including Cronbach's alpha and test-retest stability. In addition, significant correlations were observed between the DI and traditional discounting instruments, suggesting that the DI measures a construct similar to the behavioral discounting process. The development of the tool was based on the assumption that discounting is a personality trait. However, the present data suggest that discounting may reflect more a state than trait function.},
  language  = {en}
}
@misc{MaleszaOstaszewski2017,
  author    = {Malesza, Marta and Ostaszewski, Paweł},
  title     = {Assessing individual differences in discounting},
  series = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  number    = {549},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-42881},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-428811},
  pages     = {13},
  year      = {2017},
  abstract  = {The purpose of the project was to develop the Discounting Inventory (DI), a measure of individual differences in delay, probability, effort, and social discounting, all related to behavioral impulsivity. Over 400 items relating to four types of discounting were generated. Next, a study followed by a series of psychometric analyses of data obtained from a group of 2843 individuals was conducted. Principal Component Analysis yielded a four-factor structure of data, reflecting the four types of discounting. The results of Confirmatory Factor Analysis showed good fit of the four-factor model to data. Through several iterations of retaining and deleting items on the basis of their component loadings, item intercorrelations, and contribution to coefficient alphas, the total number of items was reduced to 48. The final 48-item version of the inventory has satisfactory psychometric characteristics, including Cronbach's alpha and test-retest stability. In addition, significant correlations were observed between the DI and traditional discounting instruments, suggesting that the DI measures a construct similar to the behavioral discounting process. The development of the tool was based on the assumption that discounting is a personality trait. However, the present data suggest that discounting may reflect more a state than trait function.},
  language  = {en}
}
@misc{MaleszaOstaszewskiBuechneretal.2017,
  author    = {Malesza, Marta and Ostaszewski, Paweł and B{\"u}chner, Susanne and Kaczmarek, Magdalena Claudia},
  title     = {The adaptation of the Short Dark Triad personality measure},
  series = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  number    = {555},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-43289},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-432896},
  pages     = {10},
  year      = {2017},
  abstract  = {This research was designed to adapt and investigate the psychometric properties of the Short Dark Triad measure (Jones and Paulhus Assessment, 21(1), 28-41, 2014) in a German sample within four studies (total N = 1463); the measure evaluates three personality dimensions: narcissism, psychopathy, and Machiavellianism. The structure of the instrument was analysed by Confirmatory Factor Analyses procedure. It indicated that the three-factor structure had the best fit to the data. Next, the Short Dark Triad measure was evaluated in terms of construct, convergent and discriminant validity, internal consistency (≥ .72), and test-retest reliability during a 4-week period (≥ .73). Concurrent validity of the SD3 was supported by relating its subscales to measures of the Big Five concept, aggression, and self-esteem. We concluded that the Short Dark Triad instrument presented high cross-language replicability. The use of this short inventory in the investigation of the Dark Triad personality model in the German language context is suggested.},
  language  = {en}
}