Tuulia M. Ortner

Bio: Tuulia M. Ortner is an academic researcher from University of Salzburg. The author has contributed to research in topics: Personality & Test (assessment). The author has an hindex of 14, co-authored 53 publications receiving 596 citations. Previous affiliations of Tuulia M. Ortner include Humboldt University of Berlin & University of Vienna.

Overweight People Have Low Levels of Implicit Weight Bias, but Overweight Nations Have High Levels of Implicit Weight Bias

Abstract: Although a greater degree of personal obesity is associated with weaker negativity toward overweight people on both explicit (i.e., self-report) and implicit (i.e., indirect behavioral) measures, overweight people still prefer thin people on average. We investigated whether the national and cultural context – particularly the national prevalence of obesity – predicts attitudes toward overweight people independent of personal identity and weight status. Data were collected from a total sample of 338,121 citizens from 71 nations in 22 different languages on the Project Implicit website (https://implicit.harvard.edu/) between May 2006 and October 2010. We investigated the relationship of the explicit and implicit weight bias with the obesity both at the individual (i.e., across individuals) and national (i.e., across nations) level. Explicit weight bias was assessed with self-reported preference between overweight and thin people; implicit weight bias was measured with the Implicit Association Test (IAT). The national estimates of explicit and implicit weight bias were obtained by averaging the individual scores for each nation. Obesity at the individual level was defined as Body Mass Index (BMI) scores, whereas obesity at the national level was defined as three national weight indicators (national BMI, national percentage of overweight and underweight people) obtained from publicly available databases. Across individuals, greater degree of obesity was associated with weaker implicit negativity toward overweight people compared to thin people. Across nations, in contrast, a greater degree of national obesity was associated with stronger implicit negativity toward overweight people compared to thin people. This result indicates a different relationship between obesity and implicit weight bias at the individual and national levels.

Asynchronous video interviewing as a new technology in personnel selection: the applicant's point of view

Abstract: The present study aimed to integrate findings from technology acceptance research with research on applicant reactions to new technology for the emerging selection procedure of asynchronous video interviewing. One hundred six volunteers experienced asynchronous video interviewing and filled out several questionnaires including one on the applicants’ personalities. In line with previous technology acceptance research, the data revealed that perceived usefulness and perceived ease of use predicted attitudes toward asynchronous video interviewing. Furthermore, openness revealed to moderate the relation between perceived usefulness and attitudes toward this particular selection technology. No significant effects revealed for computer self-efficacy, job interview self-efficacy, extraversion, neuroticism, and conscientiousness. Theoretical and practical implications are discussed.

Where are the Gender Differences? Male Priming Boosts Spatial Skills in Women

Abstract: The effects of gender stereotype activation by priming on performance in a spatial task were investigated among a mixed adult sample (including students) of 161 men and women (mean age = 31.90) from Austria (Europe). They were assigned to one of four experimental groups according to gender and stereotype activation condition. After a male or female gender stereotype activating task, participants worked on a test assessing mental rotation (three-dimensional cube test, Gittler 1990). A significant main effect of priming on the performance in the mental rotation task emerged. Cohen’s d showed a pronounced gender difference emerging only in the female priming condition (d = .59), whereas it disappeared in the male priming condition (d = .01).

Convergence of direct, indirect, and objective risk-taking measures in gambling. The moderating role of impulsiveness and self-control

Abstract: Based on dual-process models, we assumed that risk taking depends on implicit and explicit risk attitudes and risk propensity. Specifically, we predicted that the convergence between these indicators would depend on the impulsiveness versus reflectiveness of risk behavior. Two objective personality tests (OPTs) of risk taking that measure risk behavior in standardized situations were employed. We predicted that the impulsive OPT would depend more on implicit risk dispositions. The reverse effect pattern was expected for the reflective OPT. Next, we expected that self-control would amplify the weight of explicit dispositions and attenuate that of implicit dispositions. At Time 1, two direct questionnaire measures of explicit risk proneness, three indirect measures of implicit risk proneness, and a self-control measure were administered. At Time 2, participants participated in a reflective and an impulsive gambling OPT. The assumed pattern of effects was obtained. We conclude with a discussion of future res...

The case of dependency of responses and response times: A modeling approach based on standard latent trait models

Abstract: When modeling responses and response times in tests with latent trait models, the assumption of conditional independence between responses and response times might be too strong in the case that both data are gained from reactions to the same item. In order to account for the possible dependency of responses and response times from the same item, a generalization of the model of van der Linden (2007) is proposed. The basic idea consists in the assumption of a latent continuous response that underlies the observed binary response. This latent response is assumed to be correlated with the corresponding response time. The main advantage of this approach consists in the fact that the marginal models for responses and response times follow well known, standard latent trait models. Model estimation can be accomplished by marginal maximum likelihood estimation. The adequacy of the estimation approach is demonstrated in a small scale simulation study. An empirical data application illustrates the practicability of the approach in practice.

Standards for educational and psychological testing

Abstract: Pedagosko i psiholosko testiranje i procjenjivanje spadaju među najvažnije doprinose znanosti o ponasanju nasem drustvu i pružaju temeljna i znacajna poboljsanja u odnosu na ranije postupke. Iako se ne može ustvrditi da su svi testovi dovoljno usavrseni niti da su sva testiranja razborita i korisna, postoji velika kolicina informacija koje ukazuju na ucinkovitost kvalitetnih instrumenata u onim situacijama u kojima je njihovo koristenje potkrijepljeno validacijskim podacima. Pravilna upotreba testova može dovesti do boljih odluka o pojedincima i programima nego sto bi to bio slucaj bez njihovog koristenja, a također i ukazati na put za siri i pravedniji pristup obrazovanju i zaposljavanju. Međutim, losa upotreba testova može dovesti do zamjetne stete nanesene ispitanicima i drugim sudionicima u procesu donosenja odluka na temelju testovnih podataka. Cilj Standarda je promoviranje kvalitetne i eticne upotrebe testova te uspostavljanje osnovice za ocjenu kvalitete postupaka testiranja. Svrha objavljivanja Standarda je uspostavljanje kriterija za evaluaciju testova, provedbe testiranja i posljedica upotrebe testova. Iako bi evaluacija prikladnosti testa ili njegove primjene trebala ovisiti prvenstveno o strucnim misljenjima, Standardi pružaju okvir koji osigurava obuhvacanje svih relevantnih pitanja. Bilo bi poželjno da svi autori, sponzori, nakladnici i korisnici profesionalnih testova usvoje Standarde te da poticu druge da ih također prihvate.

Human cognitive abilities: A survey of factor analytic studies

Abstract: (1998). Human cognitive abilities: A survey of factor analytic studies. Gifted and Talented International: Vol. 13, No. 2, pp. 97-98.

measurement and evaluation in counseling and Development

Abstract: EDITORIAL BOARD Robert Davison Aviles, Bradley University Harley E. Baker, California State University–Channel Islands Jean-Guy Blais, Universite de Montreal, Canada Catherine Y. Chang, Georgia State University Robert C. Chope, San Francisco State University Kevin O. Cokley, University of Missouri, Columbia Patricia B. Elmore, Southern Illinois University Shawn Fitzgerald, Kent State University John J. Fremer, Educational Testing Service Vicente Ponsoda Gil, Universidad Autonoma de Madrid, Spain Jo-Ida C. Hansen, University of Minnesota Charles C. Healy, University of California at Los Angeles Robin K. Henson, University of North Texas Flaviu Adrian Hodis, Victoria University of Wellington, New Zealand Janet K. Holt, Northern Illinois University David A. Jepsen, The University of Iowa Gregory Arief D. Liem, National Institute of Education, Nanyang Technological University Wei-Cheng J. Mau, Wichita State University Larry Maucieri, Governors State College Patricia Jo McDivitt, Data Recognition Corporation Peter F. Merenda, University of Rhode Island Matthew J. Miller, University of Maryland Ralph O. Mueller, University of Hartford Jane E. Myers, The University of North Carolina at Greensboro Philip D. Parker, University of Western Sydney Ralph L. Piedmont, Loyola College in Maryland Alex L. Pieterse, University at Albany, SUNY Nicholas J. Ruiz, Winona State University James P. Sampson, Jr., Florida State University William D. Schafer, University of Maryland, College Park William E. Sedlacek, University of Maryland, College Park Marie F. Shoffner, University of Virginia Len Sperry, Florida Atlantic University Kevin Stoltz, University of Mississippi Jody L. Swartz-Kulstad, Seton Hall University Bruce Thompson, Texas A&M University Timothy R. Vansickle, Minnesota Department of Education Steve Vensel, Palm Beach Atlantic University Dan Williamson, Lindsey Wilson College F. Robert Wilson, University of Cincinnati