Kimberly A Barchard

Biographic Data

ID7832786
NAMEKimberly A Barchard
GIVEN NAMESKimberly A
FAMILY NAMEBarchard
SIGNATUREBARCHARD K A
AFFILIATIONSUniversity of Nevada, Las Vegas
ORCID0000-0003-2829-7734
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1997
LATEST PUBLICATION YEAR2020
H-INDEX0

  • Measuring the Perceived Social Intelligence of Robots

    Open AccessKimberly A Barchard, Leiszle Lapping-Carr et al.ARTICLEACM Transactions on Human-Robot…2020

    Robotic social intelligence is increasingly important. However, measures of human social intelligence omit basic skills, and robot-specific scales do not focus on social intelligence. We combined human robot interaction concepts of beliefs, desires, and intentions with psychology concepts of behaviors, cognitions, and emotions to create 20 Perceived Social Intelligence (PSI) Scales to comprehensively measure perceptions of robots with a wide rang…

  • Internal Consistency and Power When Comparing Total Scores from Two Groups

    Kimberly A Barchard, Vincent Brouwers et al.ARTICLEMultivariate Behavioral Research2016

    Researchers now know that when theoretical reliability increases, power can increase, decrease, or stay the same. However, no analytic research has examined the relationship of power to the most commonly used type of reliability-internal consistency-and the most commonly used measures of internal consistency, coefficient alpha and ICC(A,k). We examine the relationship between the power of independent samples t tests and internal consistency. We e…

  • False recognition of facial expressions of emotion

    Jose-Miguel Fernández-Dols, Pilar Carrera et al.ARTICLEEmotion2008

    This article examines the importance of semantic processes in the recognition of emotional expressions, through a series of three studies on false recognition. The first study found a high frequency of false recognition of prototypical expressions of emotion when participants viewed slides and video clips of nonprototypical fearful and happy expressions. The second study tested whether semantic processes caused false recognition. The authors foun…

  • The Nature and Measurement of Emotional Intelligence Abilities

    Open AccessKimberly A Barchard, A Ralph HakstianARTICLEEducational and Psychological…2004

    Dimensions of Emotional Intelligence (EI) were derived, and their place with respect to the cognitive ability and personality domains was examined. A factor analysis of 24 maximum-performance and self-report EI measures administered to an undergraduate sample ( N= 176) yielded five factors: Emotional Congruence, Emotional Independence, Social Perceptiveness, Alexithymia, and Social Confidence. Emotional Congruence had lowcorrelations with four co…

  • Does Emotional Intelligence Assist in the Prediction of Academic Success

    Open AccessKimberly A BarchardARTICLEEducational and Psychological…2003

    Some authors have claimed that emotional intelligence predicts success at work, at school, and in relationships, as well as or better than IQ. Little research exists to support or refute this claim at present. In this study, the ability of emotional intelligence to predict academic achievement was examined in a sample of undergraduate psychology students, using year-end grades as the criterion. The predictive validity of emotional intelligence wa…

  • Toward More Robust Inferential Procedures for Coefficient Alpha Under Sampling of Both Subjects and Conditions

    A Ralph Hakstian, Kimberly A BarchardARTICLEMultivariate Behavioral Research2000

    Barchard and Hakstian (1997b) demonstrated that inferential procedures used with coefficient alpha are not robust under sampling of both subjects and conditions (Type 12 sampling) with measurement data departing from essentially-parallel form. In the first of 2 studies reported here, a sample-based, non-analytical degrees-of-freedom correction factor was empirically developed that correlated almost perfectly with the independently-established cor…

  • The Effects of Sampling Model on Inference with Coefficient Alpha

    Open AccessKimberly A Barchard, A Ralph HakstianARTICLEEducational and Psychological…1997

    The distinction between Type I and Type 12 sampling in connection with measurement data is discussed, and a method is presented for simulating data arising from Type 12 sampling. Next, an empirical study is described in which the perfornance of inferential procedures for coefficient alpha was examined when these procedures were applied with data arising from both kinds of sampling. The results indicate that as long as the data are drawn from a po…

  • The Robustness of Confidence Intervals for Coefficient Alpha Under Violation of the Assumption of Essential Parallelism

    Kimberly A Barchard, A Ralph HakstianARTICLEMultivariate Behavioral Research1997

    Two methods exist for setting confidence intervals for coefficient alpha: Feldt's (1965) exact F-distribution method and Hakstian and Whalen's (1976) asymptotic normal-theory procedure. These methods both assume that items are essentially parallel. Two studies, employing Type 12 sampling, are reported in which the effects of violating this assumption are examined. The results indicate that as long as the data manifest the properties of essential …