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Three Good Things In Life

Three Good Things In Life

Rodrigo Bell

Health & Fitness免费v1.3.0
App Store
评分

4.7

83 条评分

星级

★★★★★

最近更新

2020年4月14日

发布日期

2018年4月28日

更新内容

v1.3.0

- Logging

应用信息

开发者
Rodrigo Bell
分类
Health & Fitness
价格
免费
版本
1.3.0
App ID
1376928991

简介

For the glass half-empty kind of person, or if you just want to develop a more positive outlook in life, this app will help you keep a record of three things that went well each day and help you develop a more positive mindset. Based on following positive psychology paper: Fleming, Andrew W., "Positive Psychology "Three Good Things in Life" and Measuring Happiness, Positive and Negative Affectivity, Optimism/Hope, and Well-Being" (2006). Counselor Education Master's Theses. 32. https://digitalcommons.brockport.edu/edc_theses/32 Abstract: "Positive psychology is the study of human strength, resilience, and optimal human functioning. The goal of positive psychology is to make people happier by understanding and building positive emotion, gratification and meaning. The constructs of happiness, hope, optimism, well-being, resilience and flow are examined in how they relate to positive psychology. The "three good things in life" exercise was implemented with participants and participants completed pre and posttest measurements on happiness, positive and negative affect, hope/optimism, and well-being. The "three good things in life" exercise consisted of having participants journal each night for one-week three things that went well that day and why. The results suggest that the "three good things in life" exercise may increase happiness and optimism/hope. Results also showed that the satisfaction with life scale scores remained the same, a decrease in positive affect scores, and increased negative affect scores. Overall, the changes in the mean scores were small. Implications for the results and further study are elaborated on. The positive psychology field can benefit from further study to examine where its developments can be implemented successfully and where it can be further enriched."

下载量预测

专业 · 预览

预估总下载量

8K6K12K
保守估计乐观估计

56

低 / 月

77

预估 / 月

121

高 / 月

基于83 条评分
假设评分率1.1%
应用年龄98 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。