本研究主要目的在瞭解大一學生騎機車戴安全帽的行為意向，並探討戴安全帽行為意向與健康信念、自我效能及控握信念的關係。本研究以民國八十五學年度第一學期就讀某大學一年級學生為母群體，採分層集束抽樣法，抽出12班580人（男286人、女294人）為研究樣本，利用自擬之結構式問卷進行調查，計得有效問卷517份（89.1％；男242人、女275人）。所得資料以單因子變異數分析、皮爾遜積差相關、t檢定、迴歸分析及逐步迴歸分析等統計方法進行分析，重要結果歸納如下：一、騎機車戴安全帽的行為意向：有罰則時偏向可能、無罰則時偏向有點可能，兩者間有顯著性的差異。二、使用健康信念來預測或解釋戴安全帽的行為意向，當有罰則時可解釋總變異量的34.14％，其中以障礙性認知、有效性認知及罹患性認知具有顯著意義；無罰則時可解釋總變異量的34.33％，其中以障礙性認知及有效性認知具有顯著意義。三、使用自我效能來預測或解釋戴安全帽的行為意向，當有罰則時可解釋總變異量的36.00％；無罰則時可解釋總變異量的34.30％。 加入自我效能的健康信念模式，可增加對行為的解釋力，有罰則時可解釋總變異量的41.32％；無罰則時可解釋總變異量的40.27％。四、使用控握信念來預測或解釋戴安全帽的行為意向，當有罰則時可解釋總變異量的12.46％，內控、重要他人外控及機運型外控均能有效預測；無罰則時可解釋總變異量的7.17％，僅內控及機運型外控能有效預測行為意向。五、最佳預測變項：當有罰則時可解釋總變異量的41.8％，變項中以自我效能影響力最大，其他依序為障礙性認知、內控及有效性認知能有效預測行為意向；當無罰則時可解釋總變異量的40.1％，變項中也是以自我效能預測力最好，其他依序為障礙性認知及有效性認知能有效預測行為意向。根據此研究結果健康信念、自我效能及控握信念的概念，可用於未來設計大一學生機車安全教育之參考。

A study on the behavioral inclination of motorcycle-riding freshman students of a certain university to wear safety helmets and its leading factors.A Master ThesisByTsat Ling-chuAbstractThe principal objective of this paper is to understand the behavioral inclination of motorcycle-riding freshman students to wear safety helmets. The paper shall also discuss the helmet-wearing behavioral inclination and health belief, as well as relationship between self-efficacy and locus of control. The mother group of this paper are the freshman students of a certain university during the first semester of 1996. The study employed the stratified cluster sampling method. 580 (286 males, 294 females) persons from 12 classes were randomly picked out as study specimen. A survey was conducted using a self-designed structural questionnaire. Effective questionnaires obtained were 517 (242 from males and 275 from females). Data obtained were analyzed through the one-way ANOVA, Pearson product-moment correlation, t-test, regression and stepwise regression. Important findings made by this paper were as follows:1.Behavioral inclination to wear a safety helmet when riding a motorcycle: When a fine for violation exists then there tends to be a possibility; when no fine exists then there tends to be a slight possibility; a significant difference is noted between the two.2.When health belief was used to predict or understand behavioral inclination to wear a safety helmet, it was found that when a fine exists, the total explicable variation is 34.14%; where perceived barriers of action, perceived benefits of action and perceived susceptibility show significant meaning. When a fine doesn't exist, then the total explicable variation is 34.33%; where perceived barriers of action and perceived benefits of action show significant meaning.3.When self-efficacy was used to predict or understand behavioral inclination to wear a safety helmet, it was found that when a fine exists, the total explicable variation is 36.00 when a fine exists, the total explicable variation is 41.32%; and when a fine doesn't exist, then the total explicable variation is 40.27%.4.When locus of control was used to predict or understand behavioral inclination to wear a safety helmet, it was found that when a fine exists, the total explicable variation is 12.46%; internal control, external control (powerful others) and external control (chance) can be effectively predicted. When a fine doesn't exist, then the total explicable variation is 7.17%; only internal control and external control (chance) can be effectively predicted. 5.Best prediction variable: When a fine exists the total explicable variation is 41.8%; the biggest variable in predicting behavioral inclination is role of self-efficacy, others, in order of significance, are perceived barriers of action, internal control, and perceived benefits of action. When a fine doesn't exist the total explicable variation is 40.1%; the variable with the best prediction ability is self-efficacy, other variables capable effective prediction, in order of significance, are perceived barriers of action and perceived benefits of action.According to the findings of this paper, it is possible to use health belief, self-efficacy and locus of control concepts as reference for designing a future motorcycle safety education for freshman university students.