Description

The Active Where? Surveys (AWS-8) is a tool designed to assess the context and extent of an individual’s engagement in various activities. This survey aims to identify where and how actively a person participates in different settings, such as educational, social, or work environments. It provides insights into patterns of activity and involvement, helping to understand individual behavior in various contexts.
Scope: The AWS-8 surveys a range of activities and settings to evaluate the level of engagement and participation.
Dimensions: It includes questions that address different domains of activity, such as academic, recreational, social, and professional.

Data Analysis and Usage

The analysis of data from the Active Where? Surveys (AWS-8) involves:
Data Collection: Administering the survey to individuals and gathering their responses regarding their activity levels and settings.
Scoring: Evaluating responses to determine the extent of involvement in various activities and contexts.
Interpretation: Analyzing scores to identify patterns of engagement and assess where individuals are most active. This information helps in understanding how active individuals are in different areas of their lives.
Application: Using the results to inform decisions related to personal development, resource allocation, or program planning based on the individual’s engagement patterns.

Objectives

The main objectives of the Active Where? Surveys (AWS-8) are:
Assessment of Engagement: To measure the extent of an individual’s participation and activity in various settings.
Identification of Activity Patterns: To identify where individuals are most and least active, providing insights into their engagement levels.
Informing Planning: To assist in the development of targeted interventions or programs that align with individuals’ activity patterns and needs.

Calibration

The calibration of the Active Where? Surveys (AWS-8) includes:
Scoring: Responses are scored to reflect the level of activity and engagement in different contexts.
Statistical Analysis: Analyzing data for reliability and validity, and comparing scores to normative data or benchmarks to ensure accurate assessment.
Normative Data: Utilizing comparative data to interpret individual scores relative to typical engagement patterns or benchmarks.

Bibliography

Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology.
Friedman, H. S., & Kern, M. L. (2014). Personality and health, subjective well-being, and longevity. Journal of Personality.
Meyer, J. P., & Allen, N. J. (1997). Commitment in the workplace: Theory, research, and application. Sage Publications.
Harter, S. (1999). The construction of the self: A developmental perspective. Guilford Press.