Factor Structure and Rasch Performance of the Shona Multidimensional Scale of Perceived Social Support among Zimbabwean Caregivers: A cross-sectional psychometric validation study
This cross-sectional study validates the Shona translation of the Multidimensional Scale of Perceived Social Support among Zimbabwean caregivers, confirming its reliability and three-factor structure through classical test theory while identifying specific psychometric limitations that necessitate a revised 11-item dichotomized version for interval-level scoring.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
In the quiet, often exhausting work of caring for a family member with a long-term health condition, a person's mental well-being often hangs on a single, invisible thread: the feeling that they are not alone. This sense of connection, known in the scientific world as social support, is the belief that help, comfort, or understanding is available when needed. It is not merely about having people around, but about the internal confidence that those people will step in during a crisis, share a burden, or offer a listening ear. For caregivers, this feeling acts as a buffer against the heavy weight of daily demands, protecting them from burnout and depression. However, measuring this feeling accurately is a complex task. Because the way people experience and describe support is deeply rooted in their culture, language, and community, a tool designed in one country often fails to capture the true reality of another. Researchers must ensure that when they ask a question about support, the words used resonate with the respondent's lived experience, and that the answers provided truly reflect the depth of their relationships.
In Zimbabwe, a team of researchers set out to test a widely used questionnaire called the Multidimensional Scale of Perceived Social Support, adapting it for use in the Shona language. They focused their study on the caregivers of children, specifically comparing those caring for children with cerebral palsy against those caring for typically developing children. The goal was to determine if the standard questions, which ask about support from family, friends, and a special person, made sense to Shona speakers and if they could reliably measure the strength of that support. The team first translated the questionnaire through a rigorous process of forward and backward translation, ensuring the meaning remained intact, and then tested it with hundreds of caregivers in both urban and rural settings. They asked participants to rate how much support they felt they received from different sources, and then they analyzed the data using two different statistical approaches to see if the tool worked as intended.
The initial analysis, which looked at the patterns of answers, confirmed that the questionnaire held up well in this new cultural context. The researchers found that Shona-speaking caregivers clearly distinguished between three distinct types of support: help from family, help from friends, and help from a special person. This three-part structure matched the original design of the scale, suggesting that even in a different cultural setting, people perceive these sources of support as separate categories. The tool proved to be highly reliable; when the same caregivers answered the questions again four weeks later, their scores remained almost identical, showing that the measure was stable over time. Furthermore, the study confirmed that the tool was valid: caregivers who reported higher levels of social support also reported lower levels of stress, fewer symptoms of mental health struggles, and a better overall quality of life. Conversely, caregivers of children with cerebral palsy reported lower levels of support than those caring for children without disabilities, a finding that aligns with the known challenges and social isolation often faced by families dealing with complex disabilities.
However, when the researchers applied a more stringent mathematical test to the data, looking for subtle inconsistencies in how people used the answer choices, a different picture emerged. While the tool worked well for ranking people from low to high support, it struggled to provide a precise, interval-level measurement where the distance between every answer choice was exactly equal. The analysis revealed that the original twelve questions did not function perfectly together; some questions seemed to overlap too much, and the way people moved from one answer option to the next was not always smooth or logical. Specifically, one question about having a special person who provides comfort did not fit well with the rest of the scale, and the response options were not being used in a strictly ordered way by all participants.
To fix these issues, the researchers made two specific adjustments. They removed the one question that did not fit and changed the way the answers were scored by collapsing the response categories into a dichotomised format. With these changes, the revised eleven-item version of the scale performed much better, meeting the strict mathematical requirements for a precise measurement tool. This suggests that while the original twelve-question version is a good way to get a general sense of a caregiver's support network, the shorter, simplified eleven-question version is better suited for detailed scientific measurement where exact differences between scores matter. The study concludes that the Shona version of this scale is a valuable resource for understanding the lives of caregivers in Zimbabwe, but it requires careful handling. The findings highlight that while the core concept of social support is universal, the tools used to measure it must be constantly refined to fit the specific language and cultural nuances of the people they are meant to serve.
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