Exploratory analyses are an important first step in psychological research, particularly in problem-based research where various variables are often included from multiple theoretical perspectives not studied together in combination before. Notably, exploratory analyses aim to give first insights into how items and variables included in a study relate to each other. Typically, exploratory analyses involve computing bivariate correlations between items and variables and presenting them in a table. While this is suitable for relatively small data sets, such tables can easily become overwhelming when datasets contain a broad set of variables from multiple theories. We propose the Gaussian graphical model as a novel exploratory analyses tool and present a systematic roadmap to apply this model to explore relationships between items and variables in environmental psychology research. We demonstrate the use and value of the Gaussian graphical model to study relationships between a broad set of items and variables that are expected to explain the effectiveness of community energy initiatives in promoting sustainable energy behaviors.
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Background:Telemonitoring (TM), as part of telehealth, allows physiotherapists to monitor and coach their patients using remotely collected data. The use of TM requires a different approach compared with face-to-face treatment. Although a telehealth capability framework exists for health care professionals, it remains unclear what specific capabilities are required to use TM during physiotherapy treatments.Objective:This study aims to identify the capabilities required to use TM in physiotherapy treatment.Methods:An exploratory qualitative study was conducted following a constructivist semistructured grounded theory approach. Three heterogeneous focus groups were conducted with 15 lecturers of the School of Physiotherapy (Bachelor of Science Physiotherapy program) from the Amsterdam University of Applied Sciences. Focus group discussions were audiotaped and transcribed verbatim. Capabilities for using TM in physiotherapy treatment were identified during an iterative process of data collection and analysis, based on an existing framework with 4 different domains. Team discussions supported further conceptualization of the findings.Results:Sixteen capabilities for the use of TM in physiotherapy treatment were found addressing 3 different domains. Four capabilities were identified in the “digital health technologies, systems, and policies” domain, 7 capabilities in the “clinical practice and application” domain, and 5 capabilities in the “data analysis and knowledge creation” domain. No capabilities were identified in the “system and technology implementation” domain.Conclusions:The use of TM in physiotherapy treatment requires specific skills from physiotherapists. To best use TM in physiotherapy treatment, it is important to integrate these capabilities into the education of current and future physiotherapists.
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Ageing of the population in European cities creates fundamental challenges with regard to employment, pensions, health care and other age-related services. Many older people want to live independent lives as long as possible. This aspiration is currently strongly supported by many local governments. A precondition for 'ageing in place' is that older people perceive their neighbourhoods as familiar and safe places. In the Netherlands, many neighbourhoods with an ageing population have been subject to urban restructuring policies. An important question is to what extent such policies affect the housing situation, socioeconomic position and social support networks of older people, as these factors strongly assist their ability to 'age in place'. The paper answers this question through an exploratory analysis of a small but unique panel data set from Hoogvliet, a large urban restructuring area in the city of Rotterdam. The partly counter-intuitive results show that restructuring has enabled 'ageing in place'. Compared to stayers, movers within Hoogvliet often report improved housing quality and positive neighbourhood change. The exploratory analyses did not provide evidence of decreased social support or increased loneliness through restructuring-induced disruptions of social ties. Various 'buffer measures' have been effective in preventing negative restructuring impacts on older residents.
