Dataset_Child Abuse Identification and Reporting among Parents in Abakaliki, Ebonyi State, Nigeria.sav

This dataset was generated and analyzed for the study "Child Abuse Identification and Reporting among Parents in Abakaliki, Ebonyi State, Nigeria". <br> Data were entered and analyzed using IBM Statistical Package for Social Sciences software version 21.0. Continuous variables were summarized as mean and standard deviation, while categorical variables were summarized as frequency and proportions. Eleven questions assessed parents’ knowledge of child abuse, responses were yes, no, and not sure. Each correct response was scored one mark, while wrong responses were scored zero, the score ranging from 0 to 11. The mean score was used to dichotomize the knowledge score into ‘good’ and ‘poor’ knowledge. Respondents whose scores were seven and above were categorized as having ‘good’ knowledge, while scores below seven were regarded as ‘poor’ knowledge of child abuse. An independent sample <em>t</em>-test and analysis of variance were used to compare the differences in the mean of the knowledge of child abuse by the socio-demographic variables. Parents’ attitudes towards child abuse were assessed on 10 Likert scale questions. Positive responses were scored as five marks for strongly agree, four marks for agreeing, three marks for undecided, two marks for disagree, and one mark for strongly disagree. Reverse scoring was done for negative questions thereby resulting in a score range of 10 to 50. The mean attitude score was used as a cut-off to dichotomize the response into positive and negative attitudes. Accordingly, respondents with attitude scores of 39 and above were categorized as ‘positive attitudes’ to child abuse, while those who scored 38 and below were classified as having a ‘negative attitude’ to child abuse. Child abuse identification was determined for parents’ ability to correctly identify acts that constitute abuse. Hence, 39 questions covering acts of physical, sexual, and psychological abuse, including child neglect were asked. A score of one mark was awarded to each correct answer, while zero mark was given for incorrect responses. The mean respondent score for each type of abuse was used to dichotomize the respondents into two groups. Participants below the mean score were categorized as not being able to identify the particular type of child abuse. Chi-square and logistic regression were used to identify predictors of child abuse identification. Child abuse reporting was measured by asking the parents if they would notify the authorities (Police, Child welfare, or Non-governmental agencies) of an event of child abuse. Their responses were recorded as yes or no responses. Chi-square test of association and logistic regression were used to identify factors associated with child abuse reporting.本数据集系为开展题为“尼日利亚埃邦伊州阿巴卡利基地区家长对儿童虐待的识别与报告”的研究而生成并开展分析。 数据录入与分析采用IBM社会科学统计软件包（IBM Statistical Package for the Social Sciences）版本21.0。连续型变量以均数与标准差进行汇总，分类变量则以频数与构成比进行汇总。 采用11道题目评估家长对儿童虐待的认知水平，作答选项为“是”“否”与“不确定”；每题答对计1分，答错计0分，总得分范围为0至11分。以认知得分均数作为分界点，将认知水平划分为“良好”与“较差”两类：得分≥7分者归类为具备“良好儿童虐待认知”，得分<7分者则被视为“儿童虐待认知较差”。为比较不同社会人口学群体的儿童虐待认知均数差异，采用独立样本t检验（independent sample t-test）与方差分析（analysis of variance）进行分析。 家长对儿童虐待的态度通过10道李克特量表（Likert scale）题目进行评估。正向计分规则为：非常同意计5分，同意计4分，不确定计3分，不同意计2分，非常不同意计1分；反向题需进行反向计分，最终态度得分范围为10至50分。以态度得分均数作为分界点，将受访者划分为积极与消极两类态度：态度得分≥39分者归类为对儿童虐待持有“积极态度”，得分≤38分者则被归为对儿童虐待持有“消极态度”。 儿童虐待识别能力通过家长正确识别构成虐待行为的能力进行衡量，共设置39道题目，涵盖躯体虐待、性虐待、心理虐待及儿童忽视等类型。每题答对计1分，答错计0分。以每种虐待类型的受访者均得分作为分界点，将受访者划分为两组：得分低于均数者被归类为“无法识别该类儿童虐待行为”。采用卡方检验（Chi-square test）与逻辑回归（logistic regression）分析，识别儿童虐待识别能力的影响因素。 儿童虐待报告行为通过询问家长“是否会就儿童虐待事件向相关部门（警方、儿童福利机构或非政府组织）举报”进行测量，作答结果记录为“是”或“否”。采用卡方关联性检验与逻辑回归分析，识别与儿童虐待报告行为相关的影响因素。