Dass-167 Info

The DASS-167, also known as the Depression Anxiety Stress Scales, is a psychological assessment tool designed to measure the levels of depression, anxiety, and stress in individuals. Developed by Syd Lovibond and Peter Lovibond in 1995, this self-report questionnaire has become a widely used instrument in both research and clinical settings.

Purpose

The purpose of psychological assessments like the DASS is to provide a reliable and valid measure of an individual's mental health status, specifically concerning depression, anxiety, and stress. If DASS-167 refers to a specific version, adaptation, or research tool based on the DASS framework, its purpose would likely align with assessing these psychological states. DASS-167

DASS-167 — Overview

• Title: DASS-167
• Type: Technical specification / project module
• Purpose: Define functional and non-functional requirements, deliverables, and plan for DASS-167 component.

Executive summary

DASS-167 is a modular component designed to provide [core capability — e.g., data aggregation and scoring service] with APIs for ingestion, normalization, scoring, and reporting. Primary goals: reliable ingestion of heterogeneous inputs, deterministic scoring, auditability, and low-latency responses (<200 ms median). The DASS-167, also known as the Depression Anxiety

Key features / specs

• Input formats: JSON Lines, CSV, and HTTP JSON.
• Authentication: OAuth 2.0 (client credentials) + optional API keys.
• Rate limits: default 5,000 req/min per client (configurable).
• Scoring engine: pluggable rule modules, version-controlled, sandboxed.
• Data store: Write-optimized event store + columnar analytic store.
• Retention: Raw events 365 days; aggregated metrics 7 years.
• SLA targets: p99 latency < 1s; median < 200ms.
• Security: TLS1.3, role-based access control, audit logging.
• Compliance: Support for configurable data redaction and export.

Usage

Clinicians and researchers use these assessments to: Executive summary DASS-167 is a modular component designed

• Screen for depression, anxiety, and stress in populations.
• Monitor changes over time in response to interventions.
• Assist in differential diagnosis.