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61.
We conducted two experimental studies with between-subjects and within-subjects designs to investigate the item response process for personality measures administered in high- versus low-stakes situations. Apart from assessing measurement validity of the item response process, we examined predictive validity; that is, whether or not different response models entail differential selection outcomes. We found that ideal point response models fit slightly better than dominance response models across high- versus low-stakes situations in both studies. Additionally, fitting ideal point models to the data led to fewer items displaying differential item functioning compared to fitting dominance models. We also identified several items that functioned as intermediate items in both the faking and honest conditions when ideal point models were fitted, suggesting that ideal point model is “theoretically” more suitable across these contexts for personality inventories. However, the use of different response models (dominance vs. ideal point) did not have any substantial impact on the validity of personality measures in high-stakes situations, or the effectiveness of selection decisions such as mean performance or percent of fakers selected. These findings are significant in that although prior research supports the importance and use of ideal point models for measuring personality, we find that in the case of personality faking, though ideal point models seem to have slightly better measurement validity, the use of dominance models may be adequate with no loss to predictive validity. 相似文献
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63.
ABSTRACTIn this research we investigated whether creativity and career assessment are a contradiction in terms or whether, through creative thinking, their potential complementarity in career guidance and counselling can be realised. The research demonstrates the creative application of the systemic Integrative Structured Interview (ISI) for the Self-Directed Search (SDS) with a South African female mid-life career changer. Results indicated that the ISI positions clients as storytellers who create rich systemic stories about their quantitative SDS scores. The constructs of story telling are evident throughout an interview about quantitative scores; the scores become unifying themes across the stories. In sum, the ISI can assist mid-life career changers to make meaning of their career transition; and by embedding career assessment in a systemic story telling process creativity is evidenced as a multilayered process. 相似文献
64.
Larissa L. Wieczorek Cyril S. Tata Lars Penke Tanja M. Gerlach 《Personal Relationships》2020,27(1):176-208
Event history calendars (EHCs) are popular tools for retrospective data collection. Originally conceptualized as face‐to‐face interviews, EHCs contain various questions about the respondents' autobiography in order to use their experiences as cues to facilitate remembering. For relationship researchers, EHCs are particularly valuable when trying to reconstruct the relational past of individuals. However, although many studies are conducted online nowadays, no freely available online adaptation of the EHC is available yet. In this tutorial, detailed instructions are provided on how to implement an online EHC for the reconstruction of romantic relationship histories within the open‐source framework formr. Ways to customize the online EHC and provide a template for researchers to adapt the tool for their own purposes are showcased. 相似文献
66.
Esther Howe Hannah G. Bosley Aaron J. Fisher 《Counselling and Psychotherapy Research》2020,20(3):470-478
Idiographic network models based on time‐series data have received recent attention for their ability to model relationships among symptoms and behaviours as they unfold in time within a single individual (cf. Epskamp, Borsboom, & Fried, 2018; Fisher, Medaglia, & Jeronimus, 2018). Rather than examine the correlational relationships between variables in a sample of individuals, an idiographic network examines correlations within a single person, averaged over many time points. Because the approach averages over time, the data must be stationary (i.e. relatively consistent over time). If individuals experience varying states over time—different mixtures of symptoms and behaviours in one moment or another—then averaging over categorically different moments may undermine model accuracy. Fisher and Bosley (2019) address these concerns via the application of Gaussian finite mixture modelling to identify latent classes of time points in intraindividual time‐series data from a sample of adults with major depressive disorder and/or generalised anxiety disorder (n = 45). The present paper outlines an extension of this work, wherein network analysis is used to model within‐class covariation of symptoms. To illustrate this approach, network models were constructed for each intraindividual class identified by Fisher and Bosley (137 networks across the 45 participants, mean classes/person = ~3, range = 2–4 classes/person). We examine the relative consistency in symptom organisation between each individual's multiple mood state networks and assess emergent group‐level patterns. We highlight opportunities for enhanced treatment personalisation and review nomothetic patterns relevant to transdiagnostic conceptualisations of psychopathology. We address opportunities for integrating this approach into clinical practice and outline potential shortcomings. 相似文献
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68.
Kate E. Fiske Robert W. Isenhower Meredith J. Bamond Stacy Lauderdale-Littin 《Journal of applied behavior analysis》2020,53(1):563-571
Token systems are widely used in clinical settings, necessitating the development of methods to evaluate the reinforcing value of these systems. In the current paper, we replicated the use of a multiple-schedule reinforcer assessment (MSA; Smaby, MacDonald, Ahearn, & Dube, 2007) to evaluate the components of a token economy system for 4 learners with autism. Token systems had reinforcing value similar to primary reinforcers for 2 of the 4 learners, but resulted in lower rates of responding than primary reinforcers for the other 2 learners. Differentiated responding across learners may warrant variation in clinical recommendations on the use of tokens. The results of this study support formal assessment of token system effectiveness, and the MSA procedure provides an efficient method by which to conduct such assessments. 相似文献
69.
Faris R. Kronfli Timothy R. Vollmer Jonathan K. Fernand Hypatia A. Bolívar 《Journal of applied behavior analysis》2020,53(1):385-401
Children diagnosed with autism spectrum disorder are often more selective in their food preferences than their typically developing peers. Additionally, many preferred food selections have minimal nutritional value. We evaluated the preference for, and reinforcing efficacy of, fruits and vegetables compared with salty and sweet foods, which are often used as edible reinforcers. Multiple-stimulus preference assessments were conducted to identify preferred foods, and reinforcer assessments were conducted to determine the reinforcing efficacy of more preferred foods. Fruits and vegetables were sometimes preferred over salty or sweet foods and often functioned as reinforcers. Future research should incorporate fruits and vegetables into preference assessments when identifying putative reinforcers. 相似文献
70.
Tobias M. Härtel;Benedikt A. Schuler;Mitja D. Back; 《Journal of Occupational & Organizational Psychology》2024,97(4):1572-1602
Recruiters routinely use LinkedIn profiles to infer applicants' individual traits like narcissism and intelligence, two key traits in online network and organizational contexts. However, little is known about LinkedIn profiles' predictive potential to accurately infer individual traits. According to Brunswik's lens model, accurate trait inferences depend on (a) the presence of valid cues in LinkedIn profiles containing information about users' individual traits and (b) the sensitive and consistent utilization of valid cues. We assessed narcissism (self-report) and intelligence (aptitude tests) in a sample of 406 LinkedIn users along with 64 LinkedIn cues (coded by three trained coders) that we derived from trait theory and previous empirical findings. We used a transparent, easy-to-interpret machine learning algorithm leveraging practical application potentials (elastic net) and applied state-of-the-art resampling techniques (nested cross-validation) to ensure robust results. Thereby, we uncover LinkedIn profiles' predictive potential: (a) LinkedIn profiles contain valid information about narcissism (e.g. uploading a background picture) and intelligence (e.g. listing many accomplishments), and (b) the elastic nets sensitively and consistently using these valid cues attain prediction accuracy (r = .35/.41 for narcissism/intelligence). The results have practical implications for improving recruiters' accuracy and foreshadow potentials and limitations of automated LinkedIn-based assessments for selection purposes. 相似文献