Dataset Information

A Parent-Report Gender Identity Questionnaire for Children: Psychometric Properties of an Italian Version.

ABSTRACT: This article presents an Italian version of the Gender Identity Questionnaire for Children (GIQC) (Cohen-Kettenis et al., 2006; Johnson et al., 2004), a parent-report questionnaire covering a range of gender characteristics of children. We developed the GIQC-Italian version with the translation/back translation method and administered it, with a sociodemographic data sheet, to the parents of 1148 children aged 3-12 years (non-clinical sample). After obtaining descriptive data for each item, in line with Johnson et al. (2004), we examined dimensionality through exploratory factor analysis (EFA). Considering the results and that our sample was entirely non-clinical, we developed a new scoring procedure. The EFA on the new scores generated three scales: (1) a Female-Typical Behavior Scale, (2) a Male-Typical Behavior Scale, and (3) a Cross-Gender Scale. Additional EFA and confirmatory factor analyses (WLSMV estimator by using a 80/20 random-split-sample analytical approach) confirmed the three-factor solution as the best fitting dimensional structure for the revised GIQC. The Cronbach's α of the scales showed a satisfactory internal consistency. The frequency distribution of the scales scores showed it is possible to find atypical gender behavior and preferences in non-clinical samples. Independent samples t test confirmed a significant difference between boys' and girls' scores. Older children reported scores indicating less gender non-conforming characteristics than younger, except for the Female-Typical Behavior Scale in the girls' subsample. Results are discussed in the light of the existing literature about gender development. Our findings suggest that the GIQC-Italian version could be a useful tool for studying gender development in the Italian context.

SUBMITTER: Caldarera AM

PROVIDER: S-EPMC6594981 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundPatient safety culture involves leader and staff interaction, routines, attitudes, practices and awareness that influence risks of adverse events in patient care. The Safety Attitudes Questionnaire (SAQ) is an instrument to measure safety attitudes among health care providers. The instrument aims to identify possible weaknesses in clinical settings and motivate quality improvement interventions leading to reductions in medical errors. The Ambulatory Version of the SAQ (SAQ-A) was developed to measure safety climate in the primary care setting. The original version of the SAQ includes six major patient safety factors: Teamwork climate, Safety climate, Job satisfaction, Perceptions of management, Working conditions, and Stress recognition. Patients in nursing homes are particularly vulnerable to adverse events. We present the psychometric properties of the Norwegian translation of the SAQ-A for the nursing home setting.MethodsThe study was conducted in five nursing homes in Tønsberg, Norway, in February 2016. A total of 463 employees working more than 20% received a paper version of the translated SAQ-A adapted to the Norwegian nursing home setting and responded anonymously. Filled-in questionnaires were scanned and transferred to an SPSS file. SPSS was used to estimate Cronbach alphas, corrected item-total correlations, item-to-own and item-to-other correlations, and item-descriptive statistics. The confirmatory factor analysis was done by AMOS.ResultsOf the 463 health care providers, 288 (62.2%) responded to the questionnaire. The confirmatory factor analysis showed that the total model of the six factors Teamwork climate, Safety climate, Job satisfaction, Perceptions of management, Working conditions, and Stress recognition had acceptable goodness-of-fit values in the nursing home setting.ConclusionsThe results of our study indicate that the Norwegian translated version of the SAQ-A, with the confirmed six factor model, is an appropriate tool for measuring patient safety climate in the nursing home setting. Future research should study whether there is an association between patient safety climate in nursing homes and occurrence of adverse events among the patients.

Dataset Information

A Parent-Report Gender Identity Questionnaire for Children: Psychometric Properties of an Italian Version.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets