Factor Analysis of the Motivation Formation Process for Exercise using Bayesian Statistical Modeling

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K11610
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 59030:Physical education, and physical and health education-related
• Research Institution: Osaka Electro-Communication University
• Principal Investigator: HORII Daisuke 大阪電気通信大学, 共通教育機構, 准教授 (20340424)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 運動 / 動機づけ / 基本的心理欲求 / 自己決定理論 / トピックモデル / ベイズ推定

Outline of Final Research Achievements

The analysis of the formation process of motivation to exercise uses the Bayesian statistical modeling. Therefore, the psychological approach to support strategies and intervention actions leading to exercise practice should start with the recognition of the importance of exercise and sports. Thus, it is important to increase and maintain their motivation. In relation to goal setting and routine creation to achieve this, it is important to devise ways to obtain positive experiences through socializing with surrounding peers. An environment in which autonomous support from others can be expected during physical activity at schools and sports clubs is also important.

Free Research Field

スポーツ心理学

Academic Significance and Societal Importance of the Research Achievements

本研究はベイズ統計モデリングによる確率モデルを使ってデータ生成メカニズムを記述し，それを用いて運動意欲の形成過程に関する推論や予測を行うことを目的とした。この手法を身体運動科学分野に持ち込み，現実で起こりうる行動を心理学理論で予測していくという研究デザインは，新たな研究の方向性を切り拓いていくものである。多様な要因に関連している運動意欲について，不完全なデータやモデルの不確実性も考慮できたことは意義があったと考えられる。