scholarly journals Development of a measure of kindness

2021 ◽  
Author(s):  
Donna E. Youngs ◽  
Miroslava A. Yaneva ◽  
David V. Canter
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Positive Psychology ◽  
Conceptual Framework ◽  
External Validity ◽  
Exploratory Study ◽  
Male And Female ◽  
Psychometric Instrument ◽  
Smallest Space Analysis ◽  
Item Questionnaire

AbstractIn the spirit of the growing developments in positive psychology, there is an increasing interest in how kind people are to each other. Yet, this area lacks any strong psychometric instrument. An initial exploratory study demonstrated that a 40-item questionnaire, completed by 165 people, revealed distinct aspects of kindness when subjected to multivariate analysis. A subsequent study is reported, using the structure of the exploratory results to further clarify the conceptual framework (Study 1). The revised 45-item questionnaire was administered to 1039 individuals from the general British population. Smallest Space Analysis of the variables, supported by Factor analysis, confirmed the hypothesis of two facets to kindness, the psychological source of the action (from principles or empathy), and the form of expression (through psychological involvement or following social prescription. It also revealed an additional general, core kindness, labelled Anthropophilia. Reliable scales derived from the combinations of the two elements from each facet were identified: Affective-Socially Prescribed; Affective-Proactive; Principle-Socially Prescribed and Principle-Proactive. Intercorrelations between the scales revealed that they measure different modes of kindness. Comparisons between male and female respondents provided external validity for the questionnaire. Study 2 (N = 251) reported that the scales measure independent dimensions when correlated with similar and dissimilar concepts.

Factors in Students' Seat Selection: An Exploratory Study

2013 ◽  
Vol 112 (2) ◽  
pp. 651-666 ◽  
Author(s):  
Marta Losonczy-Marshall ◽  
P. Douglas Marshall
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Exploratory Study ◽  
Item Questionnaire ◽  
Environment Factor ◽  
Seating Location ◽  
Selection Factors

The purpose of this study was to explore reasons for students' seat selection. Participants were 346 college students (14% freshmen, 47% sophomores, 24% juniors, and 14% seniors) from 12 classes (six sections of two courses). A 20-item questionnaire was used to ask students why they chose their seats in class. An exploratory factor analysis reduced the items to five seat-selection factors: Performance, Social, Asocial, Noticeability, and Environment. Seat selection factors were analyzed in terms of seating location: by row, by front/middle/back of the room, by center versus perimeter of the room, and by mid-room versus sides of the room. Performance and Noticeability ratings decreased by row from the front toward the back of the room. The Asocial factor was rated higher by those who sat in the back of the room, while the Environment factor was rated higher by those who sat in the center of the room.

scholarly journals Kvantitativna analiza studentske procjene važnosti stranih jezika u sportskome menadžmentu

Strani jezici ◽  
2021 ◽  
Vol 50 (1) ◽  
pp. 31-55
Author(s):  
Darija Omrčen ◽  
Magdalena Mihovec
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Female Students ◽  
Foreign Languages ◽  
Economic Power ◽  
Sports Management ◽  
Factor Scores ◽  
Multivariate Analysis Of Variance ◽  
Male And Female

The aim of the analysis was to find out how future kinesiologists assess the importance of 15 foreign languages in sports management. The sample was comprised of 70 male and female students from the Faculty of Kinesiology, University of Zagreb. The results showed that most of the students had learned English and German, and for the longest period. As many as 62.86% had learned two foreign languages, whereas 20% had learned three, 10% had learned only one, and only 7.14% had learned four foreign languages. The students assessed the command of English and German as the most important asset for work in sports management. The factor analysis yielded three latent dimensions interpreted on the basis of the aspects of tourism, success in sport, and economic power. By means of factor scores of the three obtained factors, a multivariate analysis of variance did not show differences between students’ assessment of the importance of the 15 foreign languages based on the number of foreign languages they had learned.

Measuring Impact of Stress in Sandwich Generation Caring for Demented Parents

GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Social Worker ◽  
Resource Availability ◽  
Well Being ◽  
Sandwich Generation ◽  
Item Questionnaire ◽  
Significant Difference ◽  
Adult Caregivers ◽  
The Impact

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.

Algorithm for assessing fire damage based on multi-factor analysis of fires development from gas compressor stations

2020 ◽  
Vol 90 ◽  
pp. 74-84
Author(s):  
A. A. Tanygina ◽  
◽  
R. V. Khalikov ◽  
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Systems Analysis ◽  
Statistical Data ◽  
Efficiency Analysis ◽  
Economic Damage ◽  
Fire Damage ◽  
Fire Control ◽  
Multifactor Model ◽  
General Scientific

Introduction. The article provides an algorithm for assessing the damage from a fire on the territory of gas compressor stations using a multifactor model of scenarios for the development of a fire. The causes of fires at the facilities of gas compressor stations are analyzed on the basis of statistical data. The established algorithm was verified by calculating the damage from fires, and the most dangerous causes of fires on the territory of gas compressor stations were established by the values of the frequency of emergency ruptures. The purpose of the study is establishing an algorithm for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Research methods. To obtain the results, general scientific and special methods of scientific knowledge were used. These are analysis, generalization, economic analysis, analysis of empirical data, which were based on the general provisions of the theory of analysis and systems analysis. The results of the study. A multivariate analysis of scenarios for the development of fires on the territory of gas compressor stations is carried out. An algorithm is found for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Conclusion. Using the results of the analysis of scenarios of fire development on the territory of gas compressor stations and calculations of indicators of economic damage from fires at these facilities, it is possible to draw up an algorithm for assessing fire damage on the territory of gas compressor stations. Key words: efficiency, analysis, statistics, fire, gas compressor stations, state fire control authorities, damage calculation.

Multivariate consumption profiling (MCP) for intelligent meter systems: a methodology to define categories and levels

2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Reference Population ◽  
Statistical Analyses ◽  
Conceptual Schema ◽  
Data Variability ◽  
Water Companies ◽  
Analyse Data

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.

Motivation for the Pastoral Profession in the Netherlands

2000 ◽  
Vol 28 (2) ◽  
pp. 109-118 ◽  
Author(s):  
Hessel J. Zondag
Keyword(s):  
The Netherlands ◽  
Exploratory Study ◽  
Pastoral Ministry ◽  
Well Being ◽  
Organizational Psychology ◽  
Expectancy Theory ◽  
Way Of Life ◽  
Item Questionnaire ◽  
The Impact ◽  
Protestant Denominations

Expectancy theory has been utilized by organizational psychology to explore the expectations and valuations of individuals in various professions. This study employs expectancy theory to clergy, investigating pastors' personal motivations, or values, for assuming pastoral ministry and the subsequent expectation that these values will be honored by their activities within the pastorate. The responses of 235 pastors from Catholic and Protestant denominations on a 24-item questionnaire devised to gauge pastoral motivation and adapted to assess pastoral expectations were factor analyzed and correlated in this exploratory study. The analysis yielded four robust factors. The first two motives found to be dominant were the pursuit of a Christian Way of Life and Anthropocentric Altruism. Anthropocentric Egoism and Theocentric Egoism, although secondary motivations, were theoretically meaningful in the understanding of pastoral motivations and expectations. The impact of expectations upon pastoral well-being and resilience against burnout is discussed.

scholarly journals Development and validation of the Readiness to Train Assessment Tool (RTAT)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ianita Zlateva ◽  
Amanda Schiessl ◽  
Nashwa Khalid ◽  
Kerry Bamrick ◽  
Margaret Flinter
Keyword(s):  
United States ◽  
Factor Analysis ◽  
Conceptual Framework ◽  
Health Center ◽  
Assessment Tool ◽  
Training Programs ◽  
Health Professions ◽  
Internal Consistency Reliability ◽  
The United States ◽  
Health Centers

Abstract Background In recent years, health centers in the United States have embraced the opportunity to train the next generation of health professionals. The uniqueness of the health centers as teaching settings emphasizes the need to determine if health professions training programs align with health center priorities and the nature of any adjustments that would be needed to successfully implement a training program. We sought to address this need by developing and validating a new survey that measures organizational readiness constructs important for the implementation of health professions training programs at health centers where the primary role of the organizations and individuals is healthcare delivery. Methods The study incorporated several methodological steps for developing and validating a measure for assessing health center readiness to engage with health professions programs. A conceptual framework was developed based on literature review and later validated by 20 experts in two focus groups. A survey-item pool was generated and mapped to the conceptual framework and further refined and validated by 13 experts in three modified Delphi rounds. The survey items were pilot-tested with 212 health center employees. The final survey structure was derived through exploratory factor analysis. The internal consistency reliability of the scale and subscales was evaluated using Chronbach’s alpha. Results The exploratory factor analysis revealed a 41-item, 7-subscale solution for the survey structure, with 72% of total variance explained. Cronbach’s alphas (.79–.97) indicated high internal consistency reliability. The survey measures: readiness to engage, evidence strength and quality of the health professions training program, relative advantage of the program, financial resources, additional resources, implementation team, and implementation plan. Conclusions The final survey, the Readiness to Train Assessment Tool (RTAT), is theoretically-based, valid and reliable. It provides an opportunity to evaluate health centers’ readiness to implement health professions programs. When followed with appropriate change strategies, the readiness evaluations could make the implementation of health professions training programs, and their spread across the United States, more efficient and cost-effective. While developed specifically for health centers, the survey may be useful to other healthcare organizations willing to assess their readiness to implement education and training programs.

Design and Validation of the Brief Self Online Scale (SO-8) in Early Adolescence: An Exploratory Study

2020 ◽  
pp. 027243162097853
Author(s):  
J. Ortega-Barón ◽  
J. M. Machimbarrena ◽  
I. Montiel ◽  
S. Buelga ◽  
A. Basterra-González ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Exploratory Study ◽  
Convergent Validity ◽  
The Self ◽  
Self Concept ◽  
Problematic Internet Use ◽  
The Internet ◽  
Confirmatory Factor ◽  
Correlated Factors ◽  
Age Range

For the Z-Generation, the Internet has become a very important experimentation laboratory for the discovery and validation of their identity. Despite the importance of the process of building the self in the adolescent, there are hardly any validated instruments that measure the self online. The aim of this research was to design and validate the Brief Self Online Scale (SO-8). A total of 843 students (384 boys, 45.6%), with an age range of 10 to 14 years participated. Confirmatory factor analysis (CFA) confirmed the hypothesized model of two correlated factors (Online Self-Perception and Online Idealized Projection), previously obtained through exploratory factor analysis (EFA). The reliability coefficients of Self Online dimensions were adequate. Indicators of convergent validity were obtained, finding significant correlations with self-concept, problematic Internet use, and online emotional intelligence. The SO-8 has adequate psychometric properties to be considered a reliable and valid tool to measure the construct of the Self Online in adolescents.

The five‐factor personality model in applied settings

1994 ◽  
Vol 8 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Itzhak Montag ◽  
Joseph Levin
Keyword(s):  
Factor Analysis ◽  
Personality Inventory ◽  
The Other ◽  
Factor Solution ◽  
Male And Female ◽  
Neo Personality Inventory ◽  
Clear Cut ◽  
Five Factors ◽  
Male Subjects ◽  
Female Subjects

Two studies of the Revised NEO‐Personality Inventory (NEO‐PI‐R) conducted on two different applicant samples (one consisting of 539 female subjects and the other consisting of 396 male subjects) are reported. Factor analysis of the female sample yielded a five‐factor solution, highly congruent with the factors presented by Costa, McCrae and Dye (1991). Results of the male data were less clear‐cut, yielding four to five factors which were moderately congruent with the American data. The combined male and female sample showed again high congruence coefficients. Various minor deviations in the location of the facet variables are discussed.

MULTIVARIATE ANALYSIS OF PERCEIVED DYSFUNCTION RATINGS OF PERSONALITY DISORDER SYMPTOMS

2004 ◽  
Vol 32 (6) ◽  
pp. 595-606
Author(s):  
David C. Watson ◽  
Andrew J. Howell
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Personality Disorder ◽  
Multidimensional Scaling ◽  
Personality Disorders ◽  
Two Dimensions ◽  
Social Impairment ◽  
Multivariate Techniques ◽  
Personal Distress ◽  
High Distress

Dysfunction in personality disorder symptoms was assessed using multivariate techniques to analyse lay judges' (N = 216) ratings of occupational impairment, social impairment, and personal distress. Factor analysis revealed that ratings of occupational impairment and social impairment loaded onto distinct factors. Personal distress ratings loaded onto two separate factors: high distress and low distress. Multidimensional scaling revealed two dimensions for overall dysfunction among personality disorders: severity of dysfunction and internalization-externalization. The dimensions were independence-dependence and severity of dysfunction for occupational impairment, interpersonal involvement and dominance-submission for social impairment, and internalization-externalization and severity for personal distress.

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