scholarly journals Reliability and Validity of the Neuropsychiatric Inventory Questionnaire in Dyads With Dementia at Hospitalization

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 375-376
Author(s):  
Barbara Resnick
Keyword(s):  
Family Caregivers ◽  
Rasch Analysis ◽  
Reliability And Validity ◽  
Psychometric Testing ◽  
Acute Illness ◽  
Caregiver Distress ◽  
Neuropsychiatric Inventory ◽  
Race And Gender ◽  
And Gender ◽  
Using Data

Abstract This study expanded on the limited psychometric testing of the Neuropsychiatric Inventory-Questionnaire (NPI-Q), and extended testing to include hospitalized persons with dementia upon admission to the hospital, with reports from family caregivers. Using data from 318 dyads in the ongoing Fam-FFC trial, a Rasch analysis was conducted. Most patients were female (62%), non-Hispanic (98%), and Black (50%) with a mean age of 81.62 (SD=8.43). There was evidence of internal consistency for all subscales (behavior, severity, caregiver distress); a DIF analysis showed invariance across race and gender. The items on the NPI-Q fit with each subscale. Hypothesis testing showed a significant association between the AD8 (F=30.04, p=.001) and MoCA (F= 5.05, p=.03) with behaviors; the AD8 (F =27.91, p=.001) and MoCA (F = 6.65, p=.01) with severity; and the AD8 (F = 29.23, p=.001) with caregiver distress. Findings provide support for the NPI-Q use in persons with dementia during acute illness.

scholarly journals Test method for assessing the emotional intelligence of adolescents (MSCEIT-YRV)

2021 ◽  
Vol 10 (4) ◽  
pp. 73-84
Author(s):  
E.A. Sergienko ◽  
E.A. Khlevnaya ◽  
T.S. Kiseleva
Keyword(s):  
Emotional Intelligence ◽  
Reliability And Validity ◽  
Psychometric Testing ◽  
Test Method ◽  
General Level ◽  
Gender And Age ◽  
Test Standardization ◽  
Gender And Age Differences ◽  
Understanding Emotions ◽  
Using Data

This paper contains a description of the task methodology for assessing the level of development of emotional intelligence in adolescents aged 10 to 18 years MSCEIT–YRV (Mayer-Salovey-Caruso Emotional Intelligence Test – Youth Research Version). The paper provides main data on the adaptation of the methodology to the Russian-speaking sample. Adaptation and psychometric testing of the methodology were carried out using data from 996 adolescents aged 10 to 18 years (430 boys and 566 girls, mean age 13,3 years). This methodology provides information on the general level of development of emotional intelligence, indicators of the Experiential and Strategic domains of emotional intelligence and scores for four abilities (identification of emotions, facilitation of thought, understanding emotions and emotion management). The main psychometric indicators of reliability and validity of MSCEIT-YRV meet the requirements of test standardization. The paper also describes gender and age differences in emotional intelligence, shows a comparison of normative samples for the English and Russian versions of the MSCEIT–YRV method.

scholarly journals RELIABILITY AND VALIDITY OF THE KNOWLEDGE OF PERSON-CENTERED BEHAVIORAL APPROACHES FOR BPSD

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S558-S559
Author(s):  
Kimberly Van Haitsma ◽  
Caroline Madrigal ◽  
Ann M Kolanowski ◽  
Barb Resnick ◽  
Beth Galik ◽  
...  
Keyword(s):  
Construct Validity ◽  
Test Scores ◽  
Rasch Analysis ◽  
Psychological Symptoms ◽  
Reliability And Validity ◽  
Psychometric Testing ◽  
Person Centered Care ◽  
Centered Care ◽  
Behavioral And Psychological Symptoms ◽  
Item Reliability

Abstract How behavioral and psychological symptoms of dementia (BPSD) are understood and managed is important to person-centered care. No knowledge tests associated with dementia specifically address staff knowledge of person-centered behavioral approaches to BPSD. The Knowledge of Person-Centered Behavioral Approaches for BPSD Test was developed by our team to fill that gap. We tested the reliability and validity of this measure using a Rasch analysis and additional psychometric testing. 1,071 nurses from 35 nursing homes participated in the study. Reliability was evident based on an item separation of 11.00 and item reliability of 0.99. Construct validity was evident in that all of the items fit the model with INFIT and OUTFIT statistics (0.6-1.4). Associations between test scores and observed positive and negative care interactions (r=.38, p=.03; r=-.26, p=.12), person-centered care approaches (r=-.25, p=.15), and resistance to care (r=-.31, p=.07) will be examined and implications for person-centered care discussed.

Measurement of Aging Anxiety in Taiwan: An Application of a Multidimensional Item Response Model

2012 ◽  
Vol 40 (4) ◽  
pp. 557-566 ◽  
Author(s):  
Yu-Jing Gao
Keyword(s):  
Rasch Analysis ◽  
Physical Appearance ◽  
Reliability And Validity ◽  
Gender Effects ◽  
Item Response Model ◽  
Multidimensional Item Response ◽  
Old People ◽  
Aging Anxiety ◽  
And Gender ◽  
Latent Traits

The reliability and validity of the Anxiety about Aging Scale–Taiwan version (AAST), translated from the Anxiety about Aging Scale (AAS) developed by Lasher and Faulkender (1993) was investigated using both classical and multidimensional Rasch analysis. Age and gender effects were also investigated in terms of 4 latent traits: fear of old people, psychological concerns, physical appearance, and fear of losses. Taiwanese adults (N = 334) participated and analytical results allowed for empirical validation of the 16-item AAST and demonstration of it being a reliable measure of aging anxiety. Young adults experienced more aging anxiety than older adults did and females exhibited more anxiety about their physical appearance in relation to aging compared to males.

scholarly journals EDUCATIONAL ATTAINMENT AND YOUNG ADULT HEALTH IN THE UNITED STATES: DIFFERENCES BY RACE AND GENDER

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S591-S591
Author(s):  
Grace A Noppert
Keyword(s):  
Health Outcome ◽  
The United States ◽  
Adult Health ◽  
Race And Gender ◽  
Logistic Regression Models ◽  
And Gender ◽  
Using Data ◽  
Young Adult Health ◽  
Ethnicity And Gender ◽  
The Relationship

Abstract There is compelling evidence to suggest that educational disparities in health differ by both race and gender. This study examines the relationship between respondents’ education and six health outcomes related to cardiometabolic and inflammatory outcomes using data from Wave IV of the National Longitudinal Study of Adolescent to Adult Health (ages 24-32 years; N = 13,458). We used logistic regression models to examine the relationship between education and the odds of each health outcome. Models were stratified by race and gender. We found that the association between education and each health outcome differed by race/ethnicity and gender. While among whites we observed an association between education and each health outcome, for blacks we observed no such associations. It may be that the benefits of education are particularly salient for those in more structurally advantaged positions, pointing to the continued need to address structural inequalities by both gender and race.

Salary Determinants for Senior Student Affairs Officers: Revisiting Gender and Ethnicity in Light of Institutional Characteristics

NASPA Journal ◽  
2006 ◽  
Vol 43 (2) ◽  
Author(s):  
Cathy M Engstrom ◽  
Joshua G McIntosh ◽  
Frank Ridzi ◽  
Kevin Kruger
Keyword(s):  
Student Affairs ◽  
Individual Characteristics ◽  
Student Affairs Officers ◽  
Institutional Characteristics ◽  
Senior Student Affairs Officers ◽  
Senior Student ◽  
Race And Gender ◽  
And Gender ◽  
Using Data ◽  
Salary Survey

Previous literature has suggested that ascribed characteristics,such as gender and ethnicity, achieved characteristics such as highest degree earned; and institutional characteristics such as size and public or private affiliation of the college, may serve as determinants of salary among senior student affairs officers. This research, however, has relied upon t test and ANCOVA methods and, as a result, has not been able to examine the impacts of ascribed, achieved, and institutional characteristics simultaneously while holding the other constant. Using data gathered through the 2001–02 NASPA Salary Survey, researchers employed multivariate OLS regression to hold gender, ethnicity, and numerous other personal and institutional characteristics constant while comparing their individual effects on salary. Analyses have found that institutional factors far outweigh individual characteristics and that, when all factors are controlled for, race and gender no longer have a significant effect on salary. Overall, educational attainment, enrollment, region of the country, and type of degree granted have the largest impact on salaries. Although women and Blacks continue to be underrepresented among SSAOs these findings suggest that concerns over salary inequity for women and Blacks are unsupported.

Modeling Resource Use with Time Equations: Empirical Evidence

2016 ◽  
Vol 29 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Ramji Balakrishnan ◽  
Andrew J. Pugely ◽  
Apurva S. Shah
Keyword(s):  
Resource Use ◽  
Operating Time ◽  
Strong Support ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Activity Based Costing ◽  
Race And Gender ◽  
Use Of Time ◽  
And Gender ◽  
Using Data

ABSTRACT We test whether cost-object-level characteristics significantly and predictably affect resource use within a single standardized activity. Using data on operating time for joint replacements, we find reliable effects for age, race, and gender after controlling for body mass index and other comorbidities. Modeling such granular variation is practically not possible in a classic two-stage system. Thus, this finding provides strong support for the use of time equations, as in time-driven activity-based costing, to model resource use. Supplementary analyses of hospital length of stay and gross charges show that, in addition to the expected direct effects, hospital-level characteristics moderate how patient-level attributes affect resource use.

scholarly journals Burden and Heart Rate Variability in Bipolar Disorder Family Caregivers

2021 ◽  
pp. 019394592110636
Author(s):  
Elizabeth Williams ◽  
Jaclene A. Zauszniewski
Keyword(s):  
Bipolar Disorder ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
African American ◽  
Family Caregivers ◽  
Psychological Stress ◽  
Self Report ◽  
Future Research ◽  
Race And Gender ◽  
And Gender

Family caregivers of persons with bipolar disorder experience considerable stress. Yet, studies have not examined whether their stress differs by race and gender. This preliminary analysis of baseline data from 228 African American and White family caregivers of adults with bipolar disorder who were enrolled in a randomized controlled trial examined race and gender differences on two validated self-report measures of psychological stress (caregiver burden and caregiver reactions) and an electrocardiography device used to capture heart rate variability (HRV). No statistically significant differences were found by race or gender on either measure of psychological stress. African American caregivers had significantly lower scores on two indices of HRV compared to White caregivers. Women had significantly lower scores on one index of HRV compared to men. Low HRV indicates greater stress and mortality risk. Future research should include HRV to measure caregiver stress and implement relevant interventions.

scholarly journals EXPLORING THE MULTIDIMENSIONAL BIOPSYCHOSOCIAL PATHWAYS LINKING SOCIAL STATUS AND HEALTH AMONG OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S818-S818
Author(s):  
Heather R Farmer ◽  
Amy Thierry ◽  
Linda A Wray
Keyword(s):  
Older Adults ◽  
Social Status ◽  
Well Being ◽  
The United States ◽  
Physical And Mental Health ◽  
Race And Gender ◽  
Reactive Protein ◽  
Race Ethnicity ◽  
And Gender ◽  
Using Data

Abstract An abundant literature has documented the social patterning of health, where those with lower social status experience poorer outcomes relative to those with higher status. This symposium examines how social status (e.g., age, race/ethnicity, gender, and SES) impacts various aspects of midlife and older adults’ lives and their psychological and physical health. The research presented in this symposium lend support to utilizing a biopsychosocial framework for understanding mechanisms of health and aging. First, Heather Farmer et al. will explore race and gender differences in elevated C-reactive protein (CRP), a marker of inflammation linked to poor acute and chronic outcomes, using data from the Health and Retirement Study (HRS). Linda Wray and Amy Thierry will use HRS data to test whether race/ethnicity and sex interact to produce unequal outcomes in functional status. Jen Wong et al. will utilize data from the Midlife in the United States (MIDUS) survey to investigate the moderating influences of age, gender, marital status, and social support on caregiving and psychological well-being. Collin Mueller and Heather Farmer will use HRS data to examine how perceptions of unfair treatment are associated with healthcare satisfaction and self-rated health across Black, Latinx, and White subpopulations. Taken together, this work highlights the need for a comprehensive approach to better address physical and mental health disparities over the life course. After attending this session, participants will have a stronger understanding of how social status shapes important outcomes in older adults’ lives and some of the mechanisms responsible for these variations.

scholarly journals Race and Gender Differences in 1-Year Outcomes for Community-Dwelling Stroke Survivors With Family Caregivers

Stroke ◽  
2011 ◽  
Vol 42 (3) ◽  
pp. 626-631 ◽  
Author(s):  
David L. Roth ◽  
William E. Haley ◽  
Olivio J. Clay ◽  
Martinique Perkins ◽  
Joan S. Grant ◽  
...  
Keyword(s):  
Gender Differences ◽  
Family Caregivers ◽  
Community Dwelling ◽  
Stroke Survivors ◽  
Race And Gender ◽  
And Gender

Using Data to Inform the Science of Broadening Participation

2018 ◽  
Vol 62 (5) ◽  
pp. 612-624
Author(s):  
Donna K. Ginther
Keyword(s):  
Women Of Color ◽  
National Institutes Of Health ◽  
Quality Data ◽  
Underrepresented Minorities ◽  
Science Careers ◽  
Race And Gender ◽  
Econometric Methods ◽  
Broadening Participation ◽  
And Gender ◽  
Using Data

In this article, I describe how data and econometric methods can be used to study the science of broadening participation. I start by showing that theory can be used to structure the approach to using data to investigate gender and race/ethnicity differences in career outcomes. I also illustrate this process by examining whether women of color who apply for National Institutes of Health research funding are confronted with a double bind where race and gender compound their disadvantage relative to Whites. Although high-quality data are needed for understanding the barriers to broadening participation in science careers, it cannot fully explain why women and underrepresented minorities are less likely to be scientists or have less productive science careers. As researchers, it is important to use all forms of data—quantitative, experimental, and qualitative—to deepen our understanding of the barriers to broadening participation.

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