Department of Psychology, The University of Cape Town Cape Town, South Africa.
Front Psychol. 2013 Jun 3;4:315. doi: 10.3389/fpsyg.2013.00315. eCollection 2013.
The purpose of this paper is to examine the convergent and nomological validity of a GPS-based measure of daily activity, operationalized as Number of Places Visited (NPV). Relations among the GPS-based measure and two self-report measures of NPV, as well as relations among NPV and two factors made up of self-reported individual differences were examined. The first factor was composed of variables related to an Active Lifestyle (AL) (e.g., positive affect, extraversion…) and the second factor was composed of variables related to a Sedentary Lifestyle (SL) (e.g., depression, neuroticism…). NPV was measured over 4 days. This timeframe was made up of two week and two weekend days. A bi-variate analysis established one level of convergent validity and a Split-Plot GLM examined convergent validity, nomological validity, and alternative hypotheses related to constraints on activity throughout the week simultaneously. The first analysis revealed significant correlations among NPV measures- weekday, weekend, and the entire 4-day time period, supporting the convergent validity of the Diary-, Google Maps-, and GPS-NPV measures. Results from the second analysis, indicating non-significant mean differences in NPV regardless of method, also support this conclusion. We also found that AL is a statistically significant predictor of NPV no matter how NPV was measured. We did not find a statically significant relation among NPV and SL. These results permit us to infer that the GPS-based NPV measure has convergent and nomological validity.
本文旨在检验基于 GPS 的日常活动测量方法(即访问地点数量,NPV)的聚合效度和准则关联效度。研究了基于 GPS 的测量方法与两个自我报告的 NPV 测量方法之间的关系,以及 NPV 与由自我报告的个体差异组成的两个因素之间的关系。第一个因素由与积极生活方式(AL)相关的变量组成(例如积极情绪、外向性等),第二个因素由与久坐生活方式(SL)相关的变量组成(例如抑郁、神经质等)。NPV 在 4 天内进行测量。这一时间框架由两个工作日和两个周末组成。双变量分析建立了一个聚合效度水平,分割图 GLM 同时检查了聚合效度、准则关联效度以及与一周内活动限制相关的替代假设。第一项分析显示,NPV 测量值(工作日、周末和整个 4 天)之间存在显著相关性,支持了日记、谷歌地图和 GPS-NPV 测量方法的聚合效度。第二项分析的结果表明,无论采用哪种方法,NPV 的平均值都没有差异,这也支持了这一结论。我们还发现,无论如何测量 NPV,AL 都是 NPV 的一个具有统计学意义的预测因子。我们没有发现 NPV 和 SL 之间存在统计学上显著的关系。这些结果使我们能够推断基于 GPS 的 NPV 测量具有聚合效度和准则关联效度。