Department of Social Psychology, Social Work, Social Anthropology and East Asian Studies, University of Málaga, 29016 Málaga, Spain.
Department of Social Psychology, University of Valencia, 46010 Valencia, Spain.
Int J Environ Res Public Health. 2022 Mar 10;19(6):3251. doi: 10.3390/ijerph19063251.
The Task and Ego Orientation in Sport Questionnaire's (TEOSQ's) psychometric properties have been explored in previous studies but never in its digital version, which facilitates data collection. The objective of this study was to analyze the psychometric properties of the online TEOSQ by MenPas 1.0. The sample was composed of 2320 users (58.4% women; 41.6% men), between 18 and 65 years old (M = 25.27, SD = 7.39). The methods used were Confirmatory Factor Analysis (CFA) and invariance analysis from the original 13-item model. The CFA was corrected for all samples (CFI = 0.92-0.94, TLI = 0.93-0.95, RMSEA = 0.07, SRMR = 0.06; df = 64; Bollen-Stine Bootstrap p = 0.02-0.07): general sample (χ = 720.72, χ/df = 11.26), women (χ = 496.85, χ/df = 7.76), men (χ = 321.67, χ/df = 5.03), individual sports (χ = 525.26, χ/df = 8.21), and team sports (χ = 306.01, χ/df = 4.78). The results also indicate optimal adjustments for invariance: convergent, discriminant and composite reliability validity. The study evidence demonstrates the adequate psychometric properties of the digital version. To conclude, considering the results obtained, the model shows a good psychometric fit for the sample in its online format. The principal limitations were computer failures, as well as that the large part of the sample were users between 20 and 25 years old, so the heterogeneity should be improved. The practical implications of this study could improve the efficacy of data collection in sports motivation using the online TEOSQ.
《运动任务和自我定向问卷》(TEOSQ)的心理测量学特性已在先前的研究中进行了探讨,但从未在其数字化版本中进行过探讨,该版本便于数据收集。本研究的目的是分析在线 TEOSQ 的心理测量学特性,使用的方法是 MenPas 1.0 的验证性因素分析(CFA)和不变性分析,来自原始的 13 项模型。样本由 2320 名用户(58.4%女性;41.6%男性)组成,年龄在 18 至 65 岁之间(M=25.27,SD=7.39)。CFA 对所有样本进行了校正(CFI=0.92-0.94,TLI=0.93-0.95,RMSEA=0.07,SRMR=0.06;df=64;Bollen-Stine Bootstrap p=0.02-0.07):总体样本(χ=720.72,χ/df=11.26),女性(χ=496.85,χ/df=7.76),男性(χ=321.67,χ/df=5.03),个人运动(χ=525.26,χ/df=8.21)和团队运动(χ=306.01,χ/df=4.78)。结果还表明不变性的最佳调整:收敛、区分和综合可靠性有效性。研究证据表明数字版本具有足够的心理测量学特性。总之,考虑到所获得的结果,该模型在其在线格式下对样本具有良好的心理测量拟合度。主要限制是计算机故障,以及样本中大部分是 20 至 25 岁的用户,因此异质性应得到改善。本研究的实际意义可以提高使用在线 TEOSQ 进行运动动机数据收集的效率。