scholarly journals Psychometric Properties of the CYBVICS Cyber-Victimization Scale and Its Relationship with Psychosocial Variables

2019 ◽  
Vol 8 (1) ◽  
pp. 13 ◽  
Author(s):  
Sofía Buelga ◽  
Belén Martínez-Ferrer ◽  
María-Jesús Cava ◽  
Jessica Ortega-Barón
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Convergent Validity ◽  
Factor Model ◽  
Reliability And Validity ◽  
Self Esteem ◽  
Cyber Victimization ◽  
Open Communication ◽  
Confirmatory Factor ◽  
Positive Correlations

The main goal of the present study was to analyze the psychometric properties of the revised version of the Adolescent Cyber-Victimization Scale (CYBVICS). This scale is composed of 18 items that assess direct and indirect cyber-victimization. Two subsamples participated in the present study. Sample 1 included 1318 adolescents (47.4% boys) from 12 to 16 years old (M = 13.89, SD = 1.32). Sample 2 was composed of 1188 adolescents (51.5% girls) from 12 to 16 years old (M = 14.19, SD = 1.80). First, an exploratory factor analysis was conducted on sample 1. Results yielded a bifactor structure: direct cyber-victimization and indirect cyber-victimization. To confirm the structure of the CYBVICS, we selected sample 2 to perform confirmatory factor analysis and test its convergent validity with theoretically related measures. The results supported the reliability and validity of the two-factor model. In addition, measurement invariance was established. Related to convergent validity, positive correlations between cyber-victimization and peer victimization, depressive symptoms, and offensive communication with the mother and the father were found. Moreover, negative correlations were found between cyber-victimization and open communication with the mother and the father and family self-esteem.

scholarly journals Cyberbullying among Adolescents: Psychometric Properties of the CYB-AGS Cyber-Aggressor Scale

2020 ◽  
Vol 17 (9) ◽  
pp. 3090 ◽  
Author(s):  
Sofia Buelga ◽  
Javier Postigo ◽  
Belén Martínez-Ferrer ◽  
María-Jesús Cava ◽  
Jessica Ortega-Barón
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Convergent Validity ◽  
Reliability And Validity ◽  
Anger Expression ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Cyber Aggression ◽  
Institutional Authority ◽  
Positive Correlations

The present study aims to analyze the psychometric properties of the revised version of the Adolescent Cyber-Aggressor scale (CYB-AGS). This scale is composed of 18 items that measure direct and indirect cyberbullying. A cross-sectional study was conducted using two independent samples of adolescents. The first sample included 1318 adolescents (52.6% girls) from 12 to 16 years old (M = 13.89, SD = 1.32). The second sample included 1188 adolescents (48.5% boys) from 12 to 16 years old (M = 14.19, SD = 1.80). First, to study the psychometric properties of the CYB-AGS, exploratory factor analysis was performed on Sample 1. Results indicated a two-factor structure: direct cyber-aggression and indirect cyber-aggression. Second, to verify the structure of the CYB-AGS, we selected Sample 2 to conduct confirmatory factor analysis and test the scale’s convergent validity with theoretically-related measures. Results confirmed the reliability and validity of the two-dimensional model. Moreover, measurement invariance was established. Finally, regarding convergent validity, positive correlations were obtained between cyberbullying and aggressive behaviors in school, anger expression, negative attitudes towards school, and transgression of norms. Furthermore, negative correlations were found between cyberbullying and attitudes towards institutional authority.

scholarly journals Psychometric Properties of the Chinese Version of the Mindfulness in Teaching Scale

2019 ◽  
Vol 16 (13) ◽  
pp. 2405 ◽  
Author(s):  
Chunxiao Li ◽  
Ying Hwa Kee ◽  
Yandan Wu
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Model ◽  
Well Being ◽  
Self Esteem ◽  
Chinese Version ◽  
Practical Applications ◽  
Confirmatory Factor ◽  
Good Internal Consistency ◽  
Test Retest Reliability

Measuring teacher mindfulness has implications for understanding and enhancing teachers’ well-being. This study therefore aimed to examine the psychometric properties of the Chinese version of the Mindfulness in Teaching Scale (MTS-C). Two independent samples (Sample 1 includes 151 in-service teachers, Sample 2 includes 229 pre-service teachers) completed the MTS-C and theoretically relevant measures (i.e., attitudes, self-esteem, self-efficacy, and life satisfaction). In addition, a subsample of Sample 2 completed the MTS-C again one month later. Results of exploratory factor analysis and confirmatory factor analysis supported the two-factor model of the MTS-C. The MTS-C was generally associated with the concurrent measures. Furthermore, the scale also demonstrated good internal consistency and test–retest reliability. These findings suggest that the MTS-C is a reliable and valid tool for research and practical applications among Chinese teachers.

scholarly journals Assessing the psychometric properties of the behavior and instructional management scale: A study on a sample of Serbian teachers

Psihologija ◽  
2020 ◽  
Vol 53 (2) ◽  
pp. 129-144
Author(s):  
Stefan Ninkovic ◽  
Olivera Knezevic-Floric
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Classroom Management ◽  
Psychometric Properties ◽  
Convergent Validity ◽  
Factor Model ◽  
Instructional Management ◽  
Confirmatory Factor ◽  
Adequate Internal Consistency ◽  
Teacher Classroom

The Behavior and Instructional Management Scale (BIMS) was developed to assess the bidimensional construct of classroom management. The purpose of this study was to evaluate the factor structure and psychometric properties of the BIMS using Serbian teachers. Confirmatory factor analysis was conducted on the data collected from a sample of 660 teachers, with results supporting a two-factor model of the BIMS. Both subscales of the BIMS demonstrated adequate internal consistency. Furthermore, results indicated that the two-factor model of the scale has good convergent validity. In conclusion, the BIMS can be recommended to researchers interested in measuring teacher classroom management in Serbia.

scholarly journals Psychometric Properties of the Norwegian Version of the Fear of COVID-19 Scale

2021 ◽  
Author(s):  
M. M. Iversen ◽  
T. M. Norekvål ◽  
K. Oterhals ◽  
L. T. Fadnes ◽  
S. Mæland ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Factor Model ◽  
Reliability And Validity ◽  
General Factor ◽  
Norwegian Version ◽  
Confirmatory Factor ◽  
Valid Instrument ◽  
Highly Correlated

AbstractTo examine the psychometric properties of the Norwegian version of the Fear of COVID-19 Scale (FCV-19S), randomly selected individuals from a larger registry study were invited. We assessed the reliability and validity of the instrument in a sample of 1089 adults in Norway (response rate 73%). Internal consistency measured by Cronbach’s alpha (0.88) was acceptable. Omega alphaHierarchical (ωt = 0.69) was lower indicating that the general factor is less reliable, explaining 69% of the total variance. Confirmatory factor analysis indicated that the FCV-19S is not strictly unidimensional. Exploratory graph analysis and confirmatory factor analysis supported a two-factor model (cognitive and somatic fear), which were highly correlated (r = 0.84). The Norwegian version of the FCV-19S showed an underlying two-factor structure. However, the high correlation means the two latent factors (cognitive and somatic fear) act as indicators for a second-order general factor and support use of the FCV-19S sum score. The FCV-19S appears to be a valid instrument to assess fear of COVID-19 with good psychometric properties.

Factorial Structure of the SCAS and Its Relationship With the SDQ

2013 ◽  
Vol 29 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Daniela Di Riso ◽  
Daphne Chessa ◽  
Andrea Bobbio ◽  
Adriana Lis
Keyword(s):  
Age Differences ◽  
Convergent Validity ◽  
Factor Model ◽  
Community Sample ◽  
Anxiety Symptoms ◽  
Factorial Structure ◽  
Confirmatory Factor ◽  
Culturally Based ◽  
Positive Correlations ◽  
Italian Children

The factorial structure of the Spence Children’s Anxiety Scale (SCAS; Spence, 1997 ) was examined in a community sample of 1,397 Italian children from 8 to 10 years old. Sex and age differences as regards anxiety symptoms were also analyzed. The convergent validity of the SCAS was explored through correlations with the Strengths and Difficulties Questionnaire (SDQ; Goodman, 1997 ). The use of confirmatory factor analysis supported the six correlated factor model of the SCAS with only minor differences compared to the original work by Spence (1997 ), and it was therefore named SCAS-it. Modifications to the original SCAS were supported by methodologically, theoretically, and culturally based arguments. The internal consistency of the SCAS-it was acceptable. Females displayed significantly higher levels of anxiety symptoms than males, while age differences were nonsignificant. Positive correlations were found between the SCAS-it and selected subscales of the SDQ. The results support the SCAS model, with few exceptions that do not threaten the utility of Spence’s tool.

Psychometric Properties of the Modified Social Environment Questionnaire in Chinese Older Adults

2018 ◽  
Vol 26 (4) ◽  
pp. 530-536 ◽  
Author(s):  
Ka-Man Leung ◽  
Pak-Kwong Chung ◽  
Tin-Lok Yuen ◽  
Jing Dong Liu ◽  
Donggen Wang
Keyword(s):  
Older Adults ◽  
Factor Analysis ◽  
Hong Kong ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Measurement Invariance ◽  
Social Environment ◽  
Convergent Validity ◽  
Confirmatory Factor ◽  
Test Retest Reliability

This study evaluated the psychometric properties of a Chinese version of the 24-item Social Environment Questionnaire (SEQ-C). Confirmatory factor analysis was used to examine the factor validity and measurement invariance (Purpose 1) of the SEQ-C in 453 older adults in Hong Kong. Convergent validity (Purpose 2) and test–retest reliability (Purpose 3) were also measured. The results of the confirmatory factor analysis and measurement invariance supported the four-factor structure (representing companionship, encouragement, neighborhood social cohesion, and role models) of the SEQ-C, in a 15-item model that closely fitted the data. The SEQ-C was also found to have acceptable to satisfactory internal consistency, test–retest reliability, composite reliability, and moderate convergent validity in correlating perceived social support. This study showed that the SEQ-C is a suitable means of measuring the social environments of older adults in Hong Kong.

Kansas City Cardiomyopathy Questionnaire Administered to Hospitalized Patients With Heart Failure

2016 ◽  
Vol 24 (2) ◽  
pp. 245-257
Author(s):  
Rebecca Tucker ◽  
Jill R. Quinn ◽  
Ding-Geng (Din) Chen ◽  
Leway Chen
Keyword(s):  
Heart Failure ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Convergent Validity ◽  
Kansas City ◽  
Community Dwelling ◽  
Kansas City Cardiomyopathy Questionnaire ◽  
Patients With Heart Failure ◽  
Confirmatory Factor

Background and Purpose: The psychometric properties of the Kansas City Cardiomyopathy Questionnaire (KCCQ) have been examined primarily in community-dwelling patients with heart failure (HF). The objective of this research was to examine the properties of the KCCQ administered to patients hospitalized with HF (N = 233). Methods: Confirmatory factor analysis, Cronbach’s alphas, and correlations were performed to examine the scale’s dimensions, reliability, and validity. Results: Confirmatory factor analysis indicated a 5-factor solution (63.6% of the variance). The Cronbach’s alpha levels were greater than .70, except for the self-efficacy dimension (.60). Convergent validity was not verified between the KCCQ and several illness severity measures. Conclusions: The psychometric properties of the KCCQ may be different based on the population in which the KCCQ is administered, which may have clinical implications.

scholarly journals Psychometric Properties of the Slovak Version of Short Dark Triad

2021 ◽  
Vol 11 (3) ◽  
pp. 649-666
Author(s):  
Radka Čopková ◽  
Leoš Šafár
Keyword(s):  
Psychometric Properties ◽  
Factor Model ◽  
Reliability And Validity ◽  
Dark Triad ◽  
Slovak Population ◽  
Confirmatory Factor ◽  
Convergent And Divergent Validity ◽  
Time Test ◽  
Test Retest Reliability ◽  
Three Factor

The Short Dark Triad is a scale used to capture three aversive personality traits—Machiavellianism, narcissism, and psychopathy on the subclinical level. The present study aimed to verify the psychometric properties of the Slovak version of the Short Dark Triad scale in three studies. The first two studies aimed to examine the reliability of the scale. The aim of Study 1 was to examine the factor structure of SD3. A three-factor model consisting of three latent intercorrelated factors in a unidimensional and bifactorial model were examined on a sample of 588 participants. Study 2 aimed to test the consistency of the results over time (test–retest reliability) on the sample of 117 participants. In Study 3, convergent and divergent validity was examined on the sample of 333 participants. For both kinds of validity examination, the Slovak version of NEO-FFI was used. The internal consistency of the subscales and test results, the same as the retest results, were satisfactory. The relationships between the scales were found to be significant. Confirmatory factor analysis (CFA) results supported the original three-factor model. Significant interrelations have been established between Machiavellianism and openness, agreeableness and conscientiousness; narcissism and neuroticism, extraversion and agreeableness; psychopathy and openness, agreeableness and conscientiousness. The Short Dark Triad achieved satisfactory values of reliability and validity; therefore, it can be used on the Slovak population.

scholarly journals Psychometric properties of the Chinese version of the Attitudes Toward Accompanied Driving Scale and its relationship with driving styles

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242374
Author(s):  
Long Sun ◽  
Yueying Pan ◽  
Ye Tian
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Traffic Accidents ◽  
Reliability And Validity ◽  
Demographic Variables ◽  
Chinese Version ◽  
Factorial Structure ◽  
Negative Attitudes ◽  
Young Drivers ◽  
Confirmatory Factor

The present study aimed to adapt the Attitudes Toward Accompanied Driving Scale (ATADS) to a Chinese drivers sample and to examine its reliability and validity. Five hundred and seventy-two drivers aged 18 to 25 years old were asked to complete the ATADS and a validated Chinese version of the Multidimensional Driving Style Inventory. The factorial structure of the ATADS was examined using exploratory factor analysis (N = 259) and confirmatory factor analysis (N = 313). The validity of the scale was evaluated by examining the associations between the ATADS factors, demographic variables and driving styles. The results showed that both the findings of the EFA and CFA showed a five-factor structure of the ATADS, including tension, relatedness, avoidance, disapproval and anxiety. Second, significant gender differences were found in tension, relatedness, avoidance and anxiety. Third, tension, avoidance, disapproval and anxiety were moderately or weakly correlated with risky, anxious, angry and careful driving styles. Moreover, the number of traffic accidents after the accompanying phase was positively correlated with disapproval and avoidance. The findings supported the psychometric properties of the Chinese version of the ATADS and highlighted the adverse effects of young drivers’ negative attitudes toward accompanied driving on their driving styles.

scholarly journals Psychometric properties of the Desensitization to Violence Scale for Adolescents

Nova Scientia ◽  
2019 ◽  
Vol 11 (22) ◽  
pp. 274-292
Author(s):  
Jaime Sebastián F. Galán Jiménez ◽  
Omar Sánchez-Armáss Cappello ◽  
Luis Felipe García y Barragán
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Criminal Behavior ◽  
Convergent Validity ◽  
Physical Violence ◽  
Factor Model ◽  
Juvenile Detention ◽  
Psychological Violence ◽  
Sequential Method ◽  
Explained Variance

Introduction: Desensitization to violence is the result of exposure to violence. It reduces the negative emotions in cognitive and physiological responses to violence and can even generate a positive response to it.Method: A mixed sequential method yielding a transactional analytic design for Exploratory Factor Analysis and Confirmatory Factor Analysis with a sample of 1720 participants of 25 different high schools and a juvenile detention center. Followed by convergent validity (as a criterion validity) with a different sample.Results: The EFA’s cumulative explained variance was 52% with a GFI of .98 with a three-factor model: sensitivity to violence, amusement with physical violence, and enjoyment of psychological violence. The CFA showed scores above .50 in Average Explained Variance in every factor, and an ideal model fit in every measure (CFI, AGFI, RMSEA, SRMR, and ECVI). The remaining factors are only those related with enjoying or amusement with violent behavior, indicating that the desensitization to violence is related not only with the normalization and legitimation of violence, but the increasing of the performance and amusement of it.Discussion or Conclusion: The scale of desensitization to violence for adolescents has adequate psychometric properties and can be a valuable instrument to generate intervention or prevention programs, especially for its intimate relationship with high scores in people interned because of their criminal behavior.

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