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Relationship between Attribute Variables and First-Year Physician Assistant Studentsu27 Ratings of Professional Attire

机译:属性变量与一年级医师辅助学生职业服装评分的关系

摘要

Objective. The purpose of this survey study was to investigate the noncausal relationships between various attribute variables of first year PA students (age, gender, ethnicity, education level, family income, and professional phase GPA) and their professionalism ratings of photos of three different outfits depicting each of five categories of attire (scrubs, casual, business casual, business, and white coat) worn in clinical settings.Methods. An observational ecological design was utilized to measure studentsu27 perceptions of professional attire. First-year physician assistant students from Butler University in Indianapolis, Indiana were asked to rank outfits from 1= unprofessional to 7= professional using a semantic differential scale. Items were analyzed both for relationships between attribute variables and studentsu27 ratings of professional attire, and for mean intragroup differences in professionalism ratings for each dichotomized attribute variable.Results. No significant bivariate correlations were found between any attribute variable and the mean professionalism rating for any of the five types of attire. After attribute variables were dichotomized, isolated significant intragroup mean differences were found for: age and casual clothing outfit #3 [t(45) =-2.176, p=.035]; age and white coat outfit #1 [t(32.79) =2.138, p=.040]; ethnicity and business outfit #1 [t(40) =-2.619, p= 0.12]; ethnicity and white coat outfit #3 [t(40)= - 5.234, p= .000]; GPA and business casual outfit #2 [t(45) =2.148, p=.037]; and GPA and white coat outfit #1 [t(44.135) =2.093, p=.042]. Two-variable chi square tests of independence revealed a significant relationship between trichotomized professionalism ratings for mean business casual attire and dichotomized educational level [~ (1 ,n=47) = 3.855, p=.05]. No full multiple regression models (using dichotomized attribute variables as predictors and mean professionalism ratings for each attire type as criterion variables) reached statistical significance.Conclusions. While there were isolated mean intragroup differences and relationships that reached statistical significance, no single variable demonstrated statistical significance across all three outfits pictured for each type of attire.
机译:目的。这项调查研究的目的是调查第一年PA学生的各种属性变量(年龄,性别,种族,文化程度,家庭收入和职业阶段GPA)之间的非因果关系,以及他们对三种不同服装的照片的专业等级的描述临床环境中穿着的五种服装(磨砂,休闲,商务休闲,商务和白大衣)中的每一种。观察性生态设计用于衡量学生对职业装的看法。来自印第安纳州印第安纳波利斯的巴特勒大学的一年级医师助理学生被要求使用语义差分量表对服装的等级从1 =非专业到7 =专业进行排名。分析了项目的属性变量与学生的职业装甲等级之间的关系,以及每个二等分的属性变量的职业等级的平均组内差异。在五种服装中,任何一种属性变量与平均职业水平之间都没有发现显着的二元相关性。将属性变量一分为二后,发现以下群体的显着组内平均差异为:年龄和休闲装#3 [t(45)= -2.176,p = .035];年龄和白色外套#1 [t(32.79)= 2.138,p = .040];种族和商业机构#1 [t(40)= -2.619,p = 0.12];种族和白色外套#3 [t(40)=-5.234,p = .000]; GPA和商务休闲装#2 [t(45)= 2.148,p = .037]; GPA和白大衣#1 [t(44.135)= 2.093,p = .042]。两变量独立性的卡方检验表明,按三分之二的平均商务休闲装专业水平与二分的教育水平之间存在显着关系[〜(1,n = 47)= 3.855,p = .05]。没有完整的多元回归模型(使用二等分的属性变量作为预测变量,每种服装类型的平均专业水平作为标准变量)没有统计学意义。尽管组内平均差异和相互关系达到统计显着性,但在每种服装的所有三种服装中,没有一个变量显示出统计显着性。

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    Demeter Jaclyn;

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