本研究旨在探討老年人寂寞及其相關因素模式。主要目的為：一、編擬老年人寂寞量表，以測量老年人寂寞。二、瞭解我國老年人的寂寞現況並比較不同背景變項之老年人在寂寞上的差異情形。三、建立人格特質（神經質與外向性）、自覺健康狀況、社會關係數量、社會供應（情緒共同感、價值肯定、社會共同感）與寂寞（情緒性寂寞與社會性寂寞）之間的結構方程模式，以瞭解變項之間的路徑關係。 為逹以上目的，本研究採用問卷調查法，以702位老年人為研究對象，施以「人格特質量表」、「社會關係量表」、「自覺健康狀況量表」，修訂之「社會供應量表」、自編之「老年人寂寞量表」等量表，並以描述性統計分析、t考驗、單因子變異數分析、結構方程模式進行統計分析。研究發現：1.老年人寂寞量表經因素分析，可區分為情緒性寂寞與社會性寂寞。2.我國老年人的寂寞程度為中度偏低，社會性寂寞顯著高於情緒性寂寞。3.不同年齡、性別、婚姻狀況、參與社團與居住狀況的老年人在寂寞上有顯著差異。4.去除解釋力低的自覺健康狀況，人格特質、社會關係數量、社會供應與寂寞所建構之結構方程模式的適配度獲得支持，可以有效解釋相關變項間的關聯性。 最後本研究根據研究結果進行討論，並對諮商實務及未來研究提出建議。 / The purpose of this study was to develop a 「Loneliness Scale for the Elderly」 and to explore loneliness and related factors in the elderly. Moreover, this study created the structural equation model of personality traits（neuroticis / extraversion）、quantity of social relationship、self-perceived health status、social provision（emotional togetherness / reassurance of worth / social togetherness）and loneliness（emotional loneliness / social loneliness）in the elderly, which served the purpose of illustrating the linear structural relationships among the relevant variables. The participants in this study were 702 elderly people in Taiwan. Research instruments included Personality Traits Scale、Quantity of Social Relationship Scale、Self-perceived Health Status Scale、Social Provision Scale, and Loneliness Scale for the Elderly. The collected data was analyzed by descriptive statistics, t-test, ANOVA, and structural equation model. The findings were as follows: 1. Two factors were extracted from the Loneliness Scale for the Elderly by factor analysis, they were emotional loneliness and social loneliness. 2. The level of loneliness among elderly was moderate and social loneliness is significantly higher than emotional loneliness. 3. There were significant differences in loneliness among different age groups, gender, marital status, group participations, and living arrangements. 4. The structural equation model of personality traits、quantity of social relationship、social provision and loneliness in the elderly could explain the relationship among main variables. Based on these findings, some suggestions were made for practice and future research.