中文摘要 |
國內常使用Holland興趣類型協助國中生做選擇高中職及五專之決定,卻缺乏有研究支持的Holland興趣檔案及代碼可供實務及研究之參照。本研究分別利用專家評定及實證法,建立高中職及五專科別學群的Holland興趣檔案和代碼。專家評定部分是根據高中職及五專科別名稱及內容,媒合至美國的CIP課程分類,透過O*NET-SOC分類系統,連結到美國O*NET職業資訊網絡裡,專家評定的OIP職業興趣檔案。統計分析362份國中生填寫的研究問卷,得到實證法的結果。多元尺度法(MDS)分析興趣檔案後顯示,上述兩種方法的結果皆符合Holland理論的排列順序假設。積差相關及前兩碼至少有一碼重疊的科別及學群百分比結果顯示,兩組檔案及代碼之間的聚歛及區辨效度。
Although Holland interest types are commonly used to assist (Taiwanese) middle-school students in selecting vocational high schools and 5-year junior colleges, there are no empirically-supported Holland interest profiles and codes for either practical or research references. This study employed both the expert's judgment and empirical method proposed by Rounds, Smith, Hubert, Lewis, and Rivkin (1999) to establish the Holland interest profiles and codes for the academic majors of vocational high school and 5-year junior college. The results of the expert judgment method were from the interest profiles of O*NET (Rounds et al., 1999; Rounds, Su, Lewis, & Rivkin, 2013) through the match between the 115 academic majors and Classification of Instructional Programs (CIP), and the crosswalk between CIP and O*NET-SOC. The results of empirical methods were obtained from the data analyses of 362 middle-school students' responses to the research survey. Results of the multi-dimensional scaling analyses indicated that findings from both methods were consistent with the RIASEC circular arrangement suggested by Holland. Pearson correlation coefficients of the interest profiles and the percentages of the overlapping between the first two letters of the interest codes provide the convergence and discrimination validity for the profiles and codes established in this study. |