Analysis
The analysis of the Social Connectedness Scale involves the use of statistical methods to assess the reliability and validity of the instrument. Typically, the analysis includes the calculation of Cronbach’s alpha coefficient to evaluate the internal consistency of the scale. In addition, confirmatory factor analysis (CFA) may be employed to verify the factor structure that emerges from the data. This type of analysis ensures that the scale measures social connectedness accurately and consistently.
Objective
The main objective of the Social Connectedness Scale is to provide a reliable and valid means of assessing an individual’s level of social connectedness. This measurement can be used in research contexts to examine the relationships between social connectedness and other psychological or social variables, such as mental health, quality of life, and social support. Furthermore, it can be applied in clinical settings for the development of interventions aimed at improving social integration and individuals’ overall well-being.
Calibration
Calibration of the Social Connectedness Scale is usually carried out using a Likert scale, where participants are asked to indicate the extent of their agreement with a series of statements concerning their social connectedness. Responses are scored from 1 (strongly disagree) to 6 (strongly agree), and the total scores are calculated cumulatively. Higher scores indicate greater social connectedness. Calibration allows for comparative analysis and categorization of individuals based on their level of social connectedness.
Bibliography
Lee, R. M., & Robbins, S. B. (1995). Measuring belongingness: The social connectedness and the social assurance scales. Journal of Counseling Psychology, 42(2), 232–241.
Lee, Richard, M., & Robbins, Steven, B. (1998). The relationship between social connectedness and anxiety, self-esteem, and social identity. Journal of Counseling Psychology, 45(3), 338–345.
Lee, Richard, M., Draper, M., & Lee, Sujin. (2001). Social connectedness, dysfunctional interpersonal behaviors, and psychological distress: Testing a mediator model. Journal of Counseling Psychology, 48(3), 310–318.