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Articles 1 - 7 of 7
Full-Text Articles in Quantitative Psychology
Praise In The Collegiate Classroom: How Narcissism, Entitlement, Empathy, And A Desire For Fame Impact Student’S Preferences For Praise, Alexandra Crissman
Praise In The Collegiate Classroom: How Narcissism, Entitlement, Empathy, And A Desire For Fame Impact Student’S Preferences For Praise, Alexandra Crissman
Student Scholar Showcase
The purpose of this study was to examine the relationship between personality traits, namely narcissism, entitlement, empathy, and a desire for fame, and a preference for public praise in a student population. Past research has shown that those who are higher in narcissism are also higher in entitlement and that these rates have been rising with future generations. Past research has also indicated a negative relationship between narcissistic tendencies and empathy, inferring that those higher in narcissism tend to score lower on empathy measures. In this study, undergraduate students were surveyed online to determine scores on four measures of traits …
Differential Motivation In Remote Educational Assessment: Person-Based Filtering Versus Response-Based Filtering, Sarah Alahmadi, Christine E. Demars
Differential Motivation In Remote Educational Assessment: Person-Based Filtering Versus Response-Based Filtering, Sarah Alahmadi, Christine E. Demars
Department of Graduate Psychology - Faculty Scholarship
Large-scale educational assessments are often considered low-stakes, increasing the possibility of confounding true performance level with low motivation. These concerns are amplified in remote testing conditions. To remove the effects of low effort levels in responses observed in remote low-stakes testing, several motivation filtering methods can be used to purify the data. We estimated scores from assessment data collected remotely in Spring 2021 six ways, applying examinee-based filtering methods (filtering examinees based on total time) and response-based filtering methods (filtering responses using the effort-moderated IRT model), varying the thresholds selected to separate solution behavior (SB) responses from rapid-guessing behavior (RGB). …
Dissociation, Identity Distress, And Rejection Sensitivity In Adult Adoptees, Lee J. Mclamb
Dissociation, Identity Distress, And Rejection Sensitivity In Adult Adoptees, Lee J. Mclamb
Digital Repository: Showcase of Undergraduate Research Excellence
No abstract provided.
The Effect Of Leader Behavior On After-Action Review Outcomes, Kelly Prange
The Effect Of Leader Behavior On After-Action Review Outcomes, Kelly Prange
UNO Student Research and Creative Activity Fair
Organizational safety concerns are a critical issue for firefighters. Interventions such as after-action reviews (AARs) may be implemented within firefighter teams to facilitate sensemaking and learning, as well as to foster safety norms. The current study investigated AAR leaders in a Midwest fire department and how their behavior improves individual perceptions of AAR quality, thereby influencing how firefighters perceive team and organizational safety norms. Building upon high-reliability organization theory and theories on the influence of leadership on culture, career firefighters were surveyed to test the mediation model. Results indicated that good AAR leader behaviors promote positive team and organizational safety …
Volunteer Perceptions Of Upward And Downward Communication Facilitate Organizational Commitment, Kelly Prange
Volunteer Perceptions Of Upward And Downward Communication Facilitate Organizational Commitment, Kelly Prange
UNO Student Research and Creative Activity Fair
Retaining productive volunteers is an essential issue nonprofit organizations face, as volunteers help extend the services of their target populations. The current study examined upward and downward communication and training as important volunteer management practices with respect to facilitating volunteer engagement and commitment. Using social exchange theory as a framework, the present study investigated the reasons why organizations should stress giving volunteers training and open communication and soliciting feedback from volunteers. Doing so may initiate a social exchange relationship in which volunteers receive training and communication from organizations and in turn become more engaged and committed to the organization. As …
The Reliability Of Crowdsourcing: Latent Trait Modeling With Mechanical Turk, Matt Baucum, Steven Rouse Dr., Cindy Miller-Perrin, Elizabeth Mancuso Dr.
The Reliability Of Crowdsourcing: Latent Trait Modeling With Mechanical Turk, Matt Baucum, Steven Rouse Dr., Cindy Miller-Perrin, Elizabeth Mancuso Dr.
Seaver College Research And Scholarly Achievement Symposium
Mechanical Turk, an online crowdsourcing platform, has recently received increased attention in the social sciences as studies continue to suggest its viability as a source for reliable experimental data. Given the ease with which large samples can be quickly and inexpensively gathered, it is worth examining whether Mechanical Turk can provide accurate experimental data for methodologies requiring such large samples. One such methodology is Item Response Theory, a psychometric paradigm that defines test items by a mathematical relationship between a respondent’s ability and the probability of item endorsement. To test whether Mechanical Turk can serve as a reliable source of …
Data Analysis Using Regression Modeling: Visual Display And Setup Of Simple And Complex Statistical Models, Emil N. Coman, Maria A. Coman, Eugen Iordache, Russell Barbour, Lisa Dierker
Data Analysis Using Regression Modeling: Visual Display And Setup Of Simple And Complex Statistical Models, Emil N. Coman, Maria A. Coman, Eugen Iordache, Russell Barbour, Lisa Dierker
Yale Day of Data
We present visual modeling solutions for testing simple and more advanced statistical hypotheses in any research field. All models can be directly specified in analytical software like Mplus or R.
Data analysis in any substantive field can be easily accomplished by translating statistical tests in the intuitive language of regression-based path diagrams with observed and unobserved variables. All models we presented can be directly specified and estimated in analytical software.
Students can particularly benefit from being taught the simple regression modeling setup of the path analytical method, as it empowers them to apply the techniques to any data to test …