Nursing curriculum: Changing students' knowledge and biases towards older adults

Caring for the older adult is a topic debated and discussed at all levels of today's society. Nurses are expected to educate patients and family members about their medications and care following hospitalization or contact with the health care system. The majority of these patients are elderly. The purpose of the study was to determine if a course on aging would affect the knowledge and biases of nursing students in a Baccalaureate nursing program at a Southeast Florida University. Nursing students (N = 52) were surveyed at the beginning of the semester using Palmore's Facts on Aging Quiz that is structured to determine the knowledge and biases of individuals towards the older adult. Students were surveyed before and after the nursing course that had a didactic and clinical component in the hospital setting. Analysis of the data by Chi square and repeated measure ANOVA supported the hypothesis that a course segment on aging would affect the knowledge level of the nursing students and result in changes of their biases toward the older adult. ^

Gender Biases and Nontraditional Literature in the Urban Elementary Classroom

Gender stereotypes pervade children’s literature. This action research project sought to alter stereotypical perceptions of gender roles held by a classroom of urban elementary school students through the introduction of nontraditional gender role literature. Results suggested that some stereotypical perceptions could be altered through utilization and discussion of such literature.

The Effects of Attention Bias Modification Training on Cognitive Biases Perceived Threats in Children with Anxiety

It has been found in research that children and adults with anxiety have a bias toward interpreting ambiguous situations as threatening. This bias is thought to consequently maintain many symptoms of anxiety. An emergent computer treatment system called Attention Bias Modification Training (ABMT) has been used to try to reduce this bias. It is essential to understand whether this bias can be reduced with ABMT because of its feasibility and cost effective nature of treatment. In the current study, interpretation bias is measured using the Children's Opinions of Everyday Life Events (COELE). The ABMT treatment is given to children once a week for an hour and their answers to the COELE are recorded before and after treatment. The recorded procedures are transcribed by undergraduate students working at the Child Anxiety and Phobia lab, and then scored. Each of the situations of the COELE are rated 0 being neutral or 1 threatening interpretation of the situation. The hypothesis is that ABMT will reduce the negative interpretation bias in children over the course of 4 weeks of treatment. The study is still in the collection and transcription of data phase, and will expect to have analytical conclusions in the start of spring 2015.

An evaluation of child welfare inservice training: The relative effectiveness of substance abuse content in improving worker knowledge and attitudes

Given the seriousness of substance abuse as a child welfare problem, the purpose of this study was to examine the relative effectiveness of an inservice training curriculum for child welfare workers. The training was designed to improve worker knowledge and attitudes in working with substance abusing families. Seventy (70) child welfare workers from public and private agencies in two south Florida counties participated in a pretest/posttest control group design that also trained and retested the control group. The literature review supports that the general preparedness of child welfare workers for the issues presented by substance abusing families is in question. Confounding this problem is a lack of understanding of substance abuse dynamics, worker biases, and predispositions. The two research hypotheses focused on whether inservice training could increase worker knowledge and improve worker attitudes in working with this population. Training delivery was in the form of a five-day inservice focusing on an array of substance abuse knowledge and attitudinal topics. Separate knowledge and attitude instruments were developed for the research and were administered, before and after training, to a purposive sample of participants that were randomly assigned to the experimental and control groups. The data analysis supported the research hypotheses but raised a question. Specifically, the experimental group demonstrated significant improvement in posttest scores on both instruments after receiving the training; whereas the control group, with training withheld, also demonstrated a significant improvement at posttest, but only on the knowledge instrument. Although the question was unanswered, when examined at a more critical significance level, only the experimental group remained significant. The hypotheses were reconfirmed when, after training and retesting, the control group also displayed significant improvement on both instruments. The findings support the conclusion that this substance abuse inservice was effective in improving worker knowledge and attitudes regarding working with substance abusing families. As an implication for social work practice, it suggests that similar inservice training can be a viable training resource when formal substance abuse training is unavailable. Additional research is suggested regarding to what degree increased substance abuse knowledge and improved worker attitudes correlate with improved practice.

Does expert psychological testimony improve juror sensitivity to lineup suggestiveness?

Previous research has examined the validity of behavioral assumptions underlying the presumed effectiveness of safeguards against erroneous conviction resulting from mistaken eyewitness identification. In keeping with this agenda, this study examined juror sensitivity to lineup suggestiveness in the form of foil, instruction, and presentation biases and whether expert psychological testimony further sensitizes jurors to the factors that influence the likelihood of false identifications. One hundred and sixty jury eligible citizens watched versions of a videotaped trial that included information about the identification of the defendant by an eyewitness and that varied the suggestiveness of the eyewitness identification procedure. In addition, half of the mock-jurors heard the testimony of an expert psychologist regarding the factors that influence lineup suggestiveness. Mock-jurors rendered individual verdicts, rated the defendant's culpability and the suggestiveness and fairness of the identification procedure. Results indicated that jurors are somewhat sensitive to foil bias but are insensitive to instruction and presentation biases. No evidence was found to suggest that expert testimony leads to juror skepticism or juror sensitization. These results question the effectiveness of cross-examination and expert testimony as safeguards against erroneous convictions resulting from mistaken identification. ^

The acceptability and utility of voir dire questionnaires in Florida Circuit Civil Court

This study examined the acceptability and utility of the content of an extensive automobile tort voir dire questionnaire in Florida Circuit Civil Court. The ultimate purpose was to find questionnaire items from established measures that have demonstrated utility in uncovering biases that were at the same time not objectionable to the courts. The survey instrument included a venireperson questionnaire that used case-specific attitudinal and personality measures as well as typical information asked about personal history. The venireperson questionnaire incorporated measures that have proven reliable in other personal injury studies (Hans, & Lofquist, 1994). In order to examine judges' ratings, the questionnaire items were grouped into eight categories. Claims Consciousness scale measures general attitudes towards making claims based on one's legal rights. Belief in a Just World measures how sympathetic the juror would be to people who have suffered injuries. Political Efficacy is another general attitude scale that identifies attitudes towards the government. Litigation Crisis scales elicits attitudes about civil litigation. Case Specific Beliefs about Automobile Accidents and Litigation were taken from questionnaires developed and used in auto torts and other personal injury cases. Juror's personal history was divided into Demographics and Trial Relevant Attitudes. Ninety-seven circuit civil judges critiqued the questionnaire for acceptability, relevance to the type of case presented, and usefulness to attorneys for determining peremptories. ^ The majority of judges' responses confirmed that the central dimension in judicial thinking is juror qualification rather than juror partiality. Only three of the eight voir dire categories were considered relevant by more than 50 percent of the judges: Trial Relevant Experiences, Juror Demographics, and Tort Reform. Additionally, several acceptable items from generally disapproved categories were identified among the responses. These were general and case specific attitudinal items that are related to tort reform. We discuss the utility of voir dire items for discerning juror partiality. ^

Theological reflection at work: A phenomenological study of learning processes

Using the learning descriptions of graduates of a graduate ministry program, the mechanisms of interactions between the knowledge facets in learning processes were explored and described. The intent of the study was to explore how explicit, implicit, and emancipatory knowledge facets interacted in the learning processes at or about work. The study provided empirical research on Yang's (2003) holistic learning theory. ^ A phenomenological research design was used to explore the essence of knowledge facet interactions. I achieved epoche through the disclosure of assumptions and a written self-experience to bracket biases. A criterion based, stratified sampling strategy was used to identify participants. The sample was stratified by graduation date. The sample consisted of 11 participants and was composed primarily of married (n = 9), white, non-Hispanic (n = 10), females (n = 9), who were Roman Catholic (n = 9). Professionally, the majority of the group were teachers or professors (n = 5). ^ A semi-structured interview guide with scheduled and unscheduled probes was used. Each approximately 1-hour long interview was digitally recorded and transcribed. The transcripts were coded using a priori codes from holistic learning theory and one emergent code. The coded data were analyzed by identifying patterns, similarities, and differences under each code and then between codes. Steps to increase the trustworthiness of the study included member checks, coding checks, and thick descriptions of the data. ^ Five themes were discovered including (a) the difficulty in describing interactions between knowledge facets; (b) actual mechanisms of interactions between knowledge facets; (c) knowledge facets initiating learning and dominating learning processes; (d) the dangers of one-dimensional learning or using only one knowledge facet to learn; and (e) the role of community in learning. The interpretation confirmed, extended, and challenged holistic learning theory. Mechanisms of interaction included knowledge facets expressing, informing, changing, and guiding one another. Implications included the need for a more complex model of learning and the value of seeing spirituality in the learning process. The study raised questions for future research including exploring learning processes with people from non-Christian faith traditions or other academic disciplines and the role of spiritual identity in learning. ^

Estimation and prediction of average vehicle occupancies using traffic accident records

As congestion management strategies begin to put more emphasis on person trips than vehicle trips, the need for vehicle occupancy data has become more critical. The traditional methods of collecting these data include the roadside windshield method and the carousel method. These methods are labor-intensive and expensive. An alternative to these traditional methods is to make use of the vehicle occupancy information in traffic accident records. This method is cost effective and may provide better spatial and temporal coverage than the traditional methods. However, this method is subject to potential biases resulting from under- and over-involvement of certain population sectors and certain types of accidents in traffic accident records. In this dissertation, three such potential biases, i.e., accident severity, driver’s age, and driver’s gender, were investigated and the corresponding bias factors were developed as needed. The results show that although multi-occupant vehicles are involved in higher percentages of severe accidents than are single-occupant vehicles, multi-occupant vehicles in the whole accident vehicle population were not overrepresented in the accident database. On the other hand, a significant difference was found between the distributions of the ages and genders of drivers involved in accidents and those of the general driving population. An information system that incorporates adjustments for the potential biases was developed to estimate the average vehicle occupancies (AVOs) for different types of roadways on the Florida state roadway system. A reasonableness check of the results from the system shows AVO estimates that are highly consistent with expectations. In addition, comparisons of AVOs from accident data with the field estimates show that the two data sources produce relatively consistent results. While accident records can be used to obtain the historical AVO trends and field data can be used to estimate the current AVOs, no known methods have been developed to project future AVOs. Four regression models for the purpose of predicting weekday AVOs on different levels of geographic areas and roadway types were developed as part of this dissertation. The models show that such socioeconomic factors as income, vehicle ownership, and employment have a significant impact on AVOs.

The boundaries of acceptance: Do expectations for the complainant's psychological injury affect legal decisions in a sexual harassment case

Research indicates that people engaged in legal decision-making use a host of biases and preconceptions to guide their decisions about whether the evidence presented to them is reasonable. However, few theories address how such expectations affect legal decision-makers. The present study attempted to determine if social judgment theory (SJT) can explain how and when legal decision-makers rely on expectations for the complainant's psychological injury in a hostile environment sexual harassment case. Two experiments provided undergraduate participants with a written summary of a hostile work environment allegation that first manipulated participants' expectations about reasonable psychological injuries (mild v. severe), and then presented them with actual severity levels of psychological injury (ranging from minimal to extreme). Experiment 1 (N = 295) hypothesized and found that participants who expected severe injuries perceived a greater range of psychological injuries to be reasonable than participants expecting mild injury. Experiment 2 ( N = 202) used similar methodology and investigated whether perceived reasonableness for the injury allegations affected legal decisions. Experiment 2 hypothesized that participants expecting severe psychological injury should render more pro-complainant decisions than participants expecting mild psychological injury. This result should be most pronounced when participants receive a moderate injury allegation, since this allegation was perceived as reasonable by participants expecting severe injury, but unreasonable by participants expecting mild injury. Consistent with SJT, participants who received a moderate injury but expected a severe injury found more liability than participants who received a moderate injury but expected a mild injury. Inconsistent with SJT, participants' expectations did not affect their compensatory damage decisions. In fact, more severe injury allegations increased damage awards regardless of participants' expectations. Although the results provide mixed support for applying SJT to legal decisions in sexual harassment cases, they emphasize the continuing role of oft-unstudied extra-legal factors (juror's expectations and psychological injury severity) on legal decisions.

In My Opinion… Good Intentions Don't Count

While simple guest surveys can be poorly constructed with little negative consequences, often surveys are used in making important policy decisions. Researchers and policy makers must carefully construct their research instruments in order to avoid biases which may result in muddled or incorrect responses. The authors review the process of creating, administering, and analyzing surveys with an eye toward reducing survey bias to a minimum. Reliable results require a rigorous and careful approach when creating and using instruments.

How effective is the motion-to -suppress safeguard? Judges' perceptions of the suggestiveness and fairness of biased lineup procedures

The motion-to-suppress safeguard is designed to prevent false eyewitness identifications from leading to wrongful convictions. This safeguard is effective only if judges are sensitive to factors that influence lineup suggestiveness. The present study assessed judicial sensitivity to foil, instruction, and presentation biases. Judges $(N=99)$ read a description of a hypothetical crime, perpetrator, and identification procedure, followed by a motion to suppress the identification. Judges completed a questionnaire in which they ruled on the motion and rated the lineup's suggestiveness and fairness. Foil bias and instruction bias influenced judges' rulings and lineup evaluations as predicted. Hypotheses concerning presentation bias were not supported. Results suggest a need to standardize and record identification procedures and to further educate judges about psychological research on eyewitness memory. ^

Essays on risk aversion, diversification and non -participation

My dissertation consists of three essays. The central theme of these essays is the psychological factors and biases that affect the portfolio allocation decision. The first essay entitled, “Are women more risk-averse than men?” examines the gender difference in risk aversion as revealed by actual investment choices. Using a sample that controls for biases in the level of education and finance knowledge, there is evidence that when individuals have the same level of education, irrespective of their knowledge of finance, women are no more risk-averse than their male counterparts. However, the gender-risk aversion relation is also a function of age, income, wealth, marital status, race/ethnicity and the number of children in the household. The second essay entitled, “Can diversification be learned ?” investigates if investors who have superior investment knowledge are more likely to actively seek diversification benefits and are less prone to allocation biases. Results of cross-sectional analyses suggest that knowledge of finance increases the likelihood that an investor will efficiently allocate his direct investments across the major asset classes; invest in foreign assets; and hold a diversified equity portfolio. However, there is no evidence that investors who are more financially sophisticated make superior allocation decisions in their retirement savings. The final essay entitled, “The demographics of non-participation ”, examines the factors that affect the decision not to hold stocks. The results of probit regression models indicate that when individuals are highly educated, the decision to not participate in the stock market is less related to demographic factors. In particular, when individuals have attained at least a college degree and have advanced knowledge of finance, they are significantly more likely to invest in equities either directly or indirectly through mutual funds or their retirement savings. There is also evidence that the decision not to hold stocks is motivated by short-term market expectations and the most recent investment experience. The findings of these essays should increase the body of research that seeks to reconcile what investors actually do (positive theory) with what traditional theories of finance predict that investors should do (normative theory).

A study of the relationship between employee virtuality and technology deviance as mediated by leadership and employee perceptions

Recent studies found that organizations have been investing significant capital in developing teams and employees in geographic areas where labor and resources are considerably cheaper. Furthermore, organizations are moving core operational activities such as research and development and back-office processes to globally distributed teams. ^ However, several factors that are inherent to these virtual teams can have a negative impact on employee perceptions and engagement; specifically, the physical and temporal differences between employees and their supervisors, the lack of meaningful social interaction intrinsic to working relationships, and cultural biases that can be fostered when close, daily interactions is not there to help bridge the dissimilarity. ^ When strategies are not in place to mitigate these deficiencies, it can cause virtual employees to disengage emotionally and intellectually from the organization, or lead them to feel justified in working against the best interest of the company. ^ Past research indicates that although deviant behavior in the workplace is not new, transgressions committed by employees have been increasing significantly every year. Beyond the focus of why employees are motivated to act against the organization, to what extent do the recent changes to the organization’s structure influence this type of behavior through their actions at the macro (organizational) and micro level (leadership). ^ In addition, there is a related phenomenon that has aided the transformation of the workplace—namely, the ubiquity of technology. In the context of workplace deviance, established research has documented an increasing trend of employees utilizing company technology as a medium and amplifier when harming the organization. It is important to understand whether technology has facilitated or hindered workplace deviance by virtue of the technology itself (as a means), and as part of the new employee roles created by the evolving technology (i.e., virtual employees). Therefore, it is important to identify how individual attitudes and behaviors can be affected by an employee’s degree of virtuality. ^ This study will add to the understanding of how social interaction and physical proximity, leadership and other perception factors contribute to the changes organizations are experiencing as their structure evolves and adapts to compete in the new global environment. ^

Public perception of carbon capture and storage in relation to hydraulic fracturing: content analyses, survey results, and policy proposals

Carbon capture and storage (CCS) can contribute significantly to addressing the global greenhouse gas (GHG) emissions problem. Despite widespread political support, CCS remains unknown to the general public. Public perception researchers have found that, when asked, the public is relatively unfamiliar with CCS yet many individuals voice specific safety concerns regarding the technology. We believe this leads many stakeholders conflate CCS with the better-known and more visible technology hydraulic fracturing (fracking). We support this with content analysis of media coverage, web analytics, and public lobbying records. Furthermore, we present results from a survey of United States residents. This first-of-its-kind survey assessed participants’ knowledge, opinions and support of CCS and fracking technologies. The survey showed that participants had more knowledge of fracking than CCS, and that knowledge of fracking made participants less willing to support CCS projects. Additionally, it showed that participants viewed the two technologies as having similar risks and similar risk intensities. In the CCS stakeholder literature, judgment and decision-making (JDM) frameworks are noticeably absent, and public perception is not discussed using any cognitive biases as a way of understanding or explaining irrational decisions, yet these survey results show evidence of both anchoring bias and the ambiguity effect. Public acceptance of CCS is essential for a national low-carbon future plan. In conclusion, we propose changes in communications and incentives as programs to increase support of CCS.

Estimation and Prediction of Average Vehicle Occupancies using Traffic Accident Records

As congestion management strategies begin to put more emphasis on person trips than vehicle trips, the need for vehicle occupancy data has become more critical. The traditional methods of collecting these data include the roadside windshield method and the carousel method. These methods are labor-intensive and expensive. An alternative to these traditional methods is to make use of the vehicle occupancy information in traffic accident records. This method is cost effective and may provide better spatial and temporal coverage than the traditional methods. However, this method is subject to potential biases resulting from under- and over-involvement of certain population sectors and certain types of accidents in traffic accident records. In this dissertation, three such potential biases, i.e., accident severity, driver¡¯s age, and driver¡¯s gender, were investigated and the corresponding bias factors were developed as needed. The results show that although multi-occupant vehicles are involved in higher percentages of severe accidents than are single-occupant vehicles, multi-occupant vehicles in the whole accident vehicle population were not overrepresented in the accident database. On the other hand, a significant difference was found between the distributions of the ages and genders of drivers involved in accidents and those of the general driving population. An information system that incorporates adjustments for the potential biases was developed to estimate the average vehicle occupancies (AVOs) for different types of roadways on the Florida state roadway system. A reasonableness check of the results from the system shows AVO estimates that are highly consistent with expectations. In addition, comparisons of AVOs from accident data with the field estimates show that the two data sources produce relatively consistent results. While accident records can be used to obtain the historical AVO trends and field data can be used to estimate the current AVOs, no known methods have been developed to project future AVOs. Four regression models for the purpose of predicting weekday AVOs on different levels of geographic areas and roadway types were developed as part of this dissertation. The models show that such socioeconomic factors as income, vehicle ownership, and employment have a significant impact on AVOs.