scholarly journals Development and Validation of the Ethnic Moral Disengagement Scale

2022 ◽  
Vol 12 ◽  
Author(s):  
Maria Grazia Lo Cricchio ◽  
Federica Stefanelli ◽  
Benedetta E. Palladino ◽  
Marinella Paciello ◽  
Ersilia Menesini
Keyword(s):  
Moral Disengagement ◽  
Minority Groups ◽  
Factor Model ◽  
Ethnic Origin ◽  
Validity And Reliability ◽  
Specific Measure ◽  
It Impacts ◽  
Development And Validation ◽  
Culture Of Origin ◽  
Italian Adolescents

Research has underlined that moral disengagement processes, by which people switch off their moral values and act aggressively without experiencing guilt, are highly connected with contextual factors. However, research on situational variations in moral disengagement is limited, especially considering the associations with characteristics such as the ethnic origin of potential victims. The general aim of the present study was to develop a brief, specific measure of ethnic moral disengagement able to catch individual justification used in the case of ethnic bullying and cyberbullying, and test its validity and reliability. An eight items scale was developed and administered in study 1, in a sample of 961students attending several Italian high schools (53.5% female; Mage 15 years). Considering the results of the CFA, we modified one of the items and the scale was administered again, in a second sample of 1,229 students (49.9% female; Mage 15.62 years) in study 2. A one-factor model of ethnic moral disengagement fit the data well and internal consistency showed to be good. As an additional step, we found that the model was invariant across Italian adolescents and youths with a different ethnic or culture of origin (having at least one parent born abroad) strengthened our confidence regarding the factorial integrity of the scale. Last, the scale showed to be positively associated with ethnic bullying and cyberbullying. Generally, findings suggested that the Ethnic Moral Disengagement scale can be a useful tool for those interested in measuring moral disengagement and evaluating how it impacts bullying and cyberbullying of minority groups.

Development and Validation of the Ableist Microaggressions Scale

2017 ◽  
Vol 45 (4) ◽  
pp. 570-599 ◽  
Author(s):  
Kristin J. Conover ◽  
Tania Israel ◽  
Karen Nylund-Gibson
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
People With Disabilities ◽  
Determine Factor ◽  
Validity And Reliability ◽  
Primary Disability ◽  
Prejudice And Discrimination ◽  
People With Physical Disabilities ◽  
Development And Validation

Overt and covert experiences of prejudice and discrimination have been associated with increased stress and distress among people with disabilities. Although researchers have explored people with disabilities’ experiences with microaggressions, no measure exists to assess disability microaggressions. The present research was conducted to develop and validate a scale that measures microaggressions experienced by people with physical disabilities, the Ableist Microaggressions Scale (AMS). Study 1 developed the preliminary AMS based on eight primary disability microaggressions domains outlined in Keller and Galgay’s (2010) qualitative study, as well as expert feedback, cognitive interviews, and a pilot study. Study 2 consisted of exploratory factor analysis ( N = 559) to determine factor structure, and a 4-factor model emerged. Study 3 confirmed the factor structure through confirmatory factor analysis ( N = 833), and demonstrated adequate validity and reliability for the 20-item AMS. Additional findings, implications, and limitations are discussed.

TEACHER SELF-EFFICACY BELIEF

2007 ◽  
Vol 35 (5) ◽  
pp. 573-586 ◽  
Author(s):  
Eda Erdem ◽  
Özcan Demirel
Keyword(s):  
Factor Analysis ◽  
Elementary Education ◽  
Student Teachers ◽  
Self Efficacy ◽  
Factor Model ◽  
Measurement Instrument ◽  
Validity And Reliability ◽  
Standard Scale ◽  
Bartlett Test ◽  
Development And Validation

This study presents development and validation of a new measurement instrument to explore student-teachers' self-efficacy beliefs toward teaching. We developed and administered a survey to 346 student teachers at Hacettepe University, Ankara, Turkey in the Department of Elementary Education in the spring term of the 2003–2004 academic year. The nature of the study is descriptive. The aim is to describe what the real situation is. Standard scale development methods and factor analysis were used. The results of the study were strongly supported by the validity and reliability of the survey. Cronbach's alpha was calculated and the reliability coefficient was 0.92. For purposes of examining content validity, the opinions of experts on 5 subject matters were taken. Factor analysis was made to elicit the fundamental dimensions of the survey. As a result of the Kalse-Meyer-Olkin and Bartlett test (0.93), factor analysis was administered to the survey. A single-factor model was specified for the structure of the survey as anticipated.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

scholarly journals Moral Disengagement, Empathy, and Cybervictim’s Representation as Predictive Factors of Cyberbullying among Italian Adolescents

2021 ◽  
Vol 18 (3) ◽  
pp. 1266
Author(s):  
Maria Lidia Mascia ◽  
Mirian Agus ◽  
Maria Assunta Zanetti ◽  
Maria Luisa Pedditzi ◽  
Dolores Rollo ◽  
...  
Keyword(s):  
Personal Experience ◽  
Moral Disengagement ◽  
Multinomial Logistic Regression ◽  
Cognitive Empathy ◽  
Self Report ◽  
Bivariate Correlation ◽  
Victim Group ◽  
Empathy Scale ◽  
Italian Adolescents ◽  
Diffusion Of Responsibility

This study aimed to evaluate which aspects of moral disengagement (MD), empathy, and representations of the victim’s experience (VER) could be predictors of cyberbullying (CB). One hundred and eight-nine students (11–17 years old) completed 3 self-report questionnaires: An MD scale, an empathy scale, and a CB questionnaire. In relation to the personal experience of CB, four groups were identified: Victim, bully, bully/victim, and no experience with CB. The linear bivariate correlation analysis shows correlations between empathy and VER, between empathy and MD, and between MD and VER. A multinomial logistic regression identified which predictors could increase a subject’s probability of belonging to one of the four groups regarding the personal experience of CB (victim, bully, bully/victim, no experience). Findings highlighted that low cognitive empathy might increase the probability for a student to belong to the bullies’ group, rather than the victims’ group. Furthermore, low perception of the consequences of CB on the victim might increase the probability of belonging to the bully, bully/victim, and no experience groups. Then, a high score in the diffusion of responsibility was a significant predictor of belonging to the victim group rather than the no experience group. Results from this study confirm the need for preventive measures against CB, including the empowerment of cognitive empathy, decreasing the diffusion of responsibility, and increasing the awareness of the consequences of CB on the victim.

scholarly journals Medical artificial intelligence readiness scale for medical students (MAIRS-MS) – development, validity and reliability study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ozan Karaca ◽  
S. Ayhan Çalışkan ◽  
Kadir Demir
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Medical Students ◽  
Data Science ◽  
Factor Model ◽  
Health Science ◽  
Measurement Tool ◽  
Validity And Reliability ◽  
Mathematical Concepts ◽  
Evaluation And Monitoring

Abstract Background It is unlikely that applications of artificial intelligence (AI) will completely replace physicians. However, it is very likely that AI applications will acquire many of their roles and generate new tasks in medical care. To be ready for new roles and tasks, medical students and physicians will need to understand the fundamentals of AI and data science, mathematical concepts, and related ethical and medico-legal issues in addition with the standard medical principles. Nevertheless, there is no valid and reliable instrument available in the literature to measure medical AI readiness. In this study, we have described the development of a valid and reliable psychometric measurement tool for the assessment of the perceived readiness of medical students on AI technologies and its applications in medicine. Methods To define medical students’ required competencies on AI, a diverse set of experts’ opinions were obtained by a qualitative method and were used as a theoretical framework, while creating the item pool of the scale. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were applied. Results A total of 568 medical students during the EFA phase and 329 medical students during the CFA phase, enrolled in two different public universities in Turkey participated in this study. The initial 27-items finalized with a 22-items scale in a four-factor structure (cognition, ability, vision, and ethics), which explains 50.9% cumulative variance that resulted from the EFA. Cronbach’s alpha reliability coefficient was 0.87. CFA indicated appropriate fit of the four-factor model (χ2/df = 3.81, RMSEA = 0.094, SRMR = 0.057, CFI = 0.938, and NNFI (TLI) = 0.928). These values showed that the four-factor model has construct validity. Conclusions The newly developed Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) was found to be valid and reliable tool for evaluation and monitoring of perceived readiness levels of medical students on AI technologies and applications. Medical schools may follow ‘a physician training perspective that is compatible with AI in medicine’ to their curricula by using MAIRS-MS. This scale could be benefitted by medical and health science education institutions as a valuable curriculum development tool with its learner needs assessment and participants’ end-course perceived readiness opportunities.

scholarly journals Development and Validation of the Influence Regulation and Deinfluentization Scale (DEI-beh)

2015 ◽  
Vol 13 (4) ◽  
pp. 91-108 ◽  
Author(s):  
Barbara Kożusznik ◽  
Anita Pollak ◽  
Dominik Adamek ◽  
Damian Grabowski
Keyword(s):  
Personality Traits ◽  
Diagnostic Tool ◽  
External Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Managerial Effectiveness ◽  
Team Members ◽  
Validation Procedure ◽  
Reciprocal Influences ◽  
Development And Validation

Abstract Our article presents work on the development and validation of Influence Regulation and Deinfluentization Scale (DEI-beh). Reviewing concepts regarding its influence constitutes an introduction to the original deinfluentization concept coined by Barbara Kożusznik. The author’s theory has provided the basis for creating a diagnostic tool. The elaborated DEI-beh method consists in evaluating conditions which determine managerial effectiveness and shape reciprocal influences among team members. Our article describes this tool’s creation and its validation procedure. Positive relationships between DEI-beh’s individual dimensions and temperament characteristics, defined in Pavlov’s concept (1952), and selected personality traits, proposed in the Five-Factor Model Personality by Costa and McCrae (1992), confirm the tool’s external validity.

Advancing the Field of Family Business Research: Further Testing the Measurement Properties of the F-PEC

2009 ◽  
Vol 23 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Daniel T. Holt ◽  
Matthew W. Rutherford ◽  
Donald F. Kuratko
Keyword(s):  
Family Business ◽  
Convergent Validity ◽  
Initial Level ◽  
Factor Model ◽  
Family Influence ◽  
Measurement Properties ◽  
Business Research ◽  
Validity And Reliability ◽  
Scale Data ◽  
Three Factor

The field of family business research is advanced by further examining the validity and reliability of Klein, Astrachan, and Smyrnios’s Family Influence on Power, Experience, and Culture Scale. Data from 831 family businesses are analyzed to assess the measure’s construct validity using exploratory and confirmatory techniques. The hypothesized three-factor model emerged to include culture, power, and experience. Extending the previous effort, the measure’s convergent validity was tested by assessing differences between the measure’s scores and the desires of the senior generation and the commitment of the next generation. Results support an initial level of convergent validity.

Psychometric Testing of the Health Care Evidence-Based Practice Assessment Tool

2015 ◽  
Vol 23 (3) ◽  
pp. 485-498
Author(s):  
Martha R. Sleutel ◽  
Celestina Barbosa-Leiker ◽  
Marian Wilson
Keyword(s):  
Health Care ◽  
Content Validity ◽  
Assessment Tool ◽  
Evidence Based Practice ◽  
Factor Model ◽  
Psychometric Testing ◽  
Evidence Based ◽  
Validity And Reliability ◽  
Health Care Outcomes ◽  
Optimal Health

Background and Purpose: Evidence-based practice (EBP) is essential to optimal health care outcomes. Interventions to improve use of evidence depend on accurate assessments from reliable, valid, and user-friendly tools. This study reports psychometric analyses from a modified version of a widely used EBP questionnaire, the information literacy for nursing practice (ILNP). Methods: After content validity assessments by nurse researchers, a convenience sam ple of 2,439 nurses completed the revised 23-item questionnaire. We examined internal consistency and used factor analyses to assess the factor structure. Results: A modified 4-factor model demonstrated adequate fit to the data. Cronbach’s alpha was .80–.92 for the subscales. Conclusions: The shortened ILNP (renamed Healthcare EBP Assessment Tool or HEAT) demonstrated adequate content validity, construct validity, and reliability.

Development and Validation of the Multidimensional Motivational Climate Observation System

2015 ◽  
Vol 37 (1) ◽  
pp. 4-22 ◽  
Author(s):  
Nathan Smith ◽  
Damien Tessier ◽  
Yannis Tzioumakis ◽  
Eleanor Quested ◽  
Paul Appleton ◽  
...  
Keyword(s):  
Predictive Validity ◽  
Interobserver Reliability ◽  
Objective Assessment ◽  
Motivational Climate ◽  
Need Satisfaction ◽  
Future Research ◽  
Observation System ◽  
Validity And Reliability ◽  
Observational System ◽  
Development And Validation

This article outlines the development and validation of the Multidimensional Motivational Climate Observation System (MMCOS). Drawing from an integration of the dimensions of the social environment emphasized within achievement goal theory and self-determination theory (as assumed within Duda’s [2013] conceptualization of “empowering” and “disempowering” climates), the MMCOS was developed to enable an objective assessment of the coach-created motivational environment in sport. Study 1 supported the initial validity and reliability of the newly developed observation system. Study 2 further examined the interobserver reliability and factorial structure of the MMCOS. Study 3 explored the predictive validity of the observational system in relation to athletes’ reported basic psychological need satisfaction. Overall, the results of these studies provide preliminary support for the inter- and intraobserver reliability, as well as factorial and predictive validity of the MMCOS. Suggestions for the use of this observational system in future research in sport are provided.

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