Hotel Service Quality Scale
Hotel Service Quality Scale (HSQS) · Also known as: HSQS, Lodging Quality Index, LQI
The Hotel Service Quality Scale (HSQS), including the Lodging Quality Index (LQI) developed by Getty & Getty (2003), measures guest perceptions of hotel service quality across multiple dimensions (room comfort, staff responsiveness, facilities, value). Using expectancy-disconfirmation theory, it captures not only perceived quality but the gap between expectations and reality, enabling precise diagnosis of service strengths and improvement priorities. Essential for hospitality managers seeking competitive positioning through service excellence and for franchisees maintaining brand standards.
Read the full method
Sign in with a free account to read this section.
Method map
The neighbourhood of related methods — select a node to explore.
When to use it
Measure service quality systematically (quarterly or semi-annually) to track trends and benchmark against competitors or hotel brand standards. Compare expectations and perceptions across guest segments (business vs. leisure, domestic vs. international, repeat vs. first-time, room type) to diagnose whether different segments have different quality requirements or perception patterns. Use gap analysis to prioritize improvement investments: address largest negative gaps first. Link quality perception to behavioral intentions (likelihood to recommend, return) to quantify ROI of quality improvements. Conduct pre/post assessment of service interventions (staff training, facility renovations, operational process changes) to measure impact on guest perception.
Strengths & limitations
- Expectancy-disconfirmation validity: gap measurement (perception minus expectation) is theoretically grounded and more predictive of satisfaction than perception alone; explains why luxury hotels with identical ratings outperform budget hotels—expectations differ.
- Multi-dimensional actionability: dimension-level scores identify specific improvement priorities; enables targeted resource allocation (train staff if Staff Responsiveness gaps are largest) rather than generic quality improvements.
- Competitive benchmarking: gap scores normalize across different hotel classes (luxury vs. budget); enables fair comparison with competitors once expectations are equated.
- Pre/post intervention measurement: supports A/B testing of service changes (staff training, technology upgrades, process redesign); quantifies impact on guest perception.
- Expectation bias: pre-stay expectations are influenced by price, room type, and brand positioning; high-expectation guests (luxury, high price point) are harder to satisfy than low-expectation guests (budget) despite identical service delivery.
- Recall bias in post-stay perception: guests completing surveys days after departure recall perceptions through emotional bias (overall satisfaction colors dimension ratings); same-day or next-day administration preferred.
- Response rate challenges: hotel guests are often fatigued; low survey response rates and self-selection bias (satisfied/very dissatisfied more likely to respond) distort results.
- Halo and contrast effects: overall satisfaction (or dissatisfaction) with one dimension (e.g., room cleanliness) inflates (or deflates) ratings of other dimensions (e.g., staff service).
Frequently asked
Should I measure expectations at pre-arrival or at check-in?
Pre-arrival measurement (online survey sent with confirmation) captures pristine expectations before property interaction; preferred for research. Check-in measurement captures updated expectations after arrival (visual cues, lobby impression modify expectations); useful for same-day gap assessment. Ideally, use both: pre-arrival for gap analysis, check-in for expectation recalibration.
How long after checkout should I administer the perception survey?
Same-day or next-day is optimal (details fresh, emotional valence minimized). QR code in room survey or mobile app reminder 2–4 hours after checkout works well. Email survey sent day 1–2 post-departure acceptable; response rates drop sharply after 1 week. Paper survey at checkout maximizes response rate but captures only guests available at desk.
How do I compare service quality across budget, mid-scale, and luxury hotels?
Absolute gap scores should not be compared across hotel classes because expectations differ (budget guests expect less). Instead, conduct class-specific benchmarking: compare your budget hotel's gap to other budget hotels' gaps. Or, use perception scores (not gaps) for comparison if you adjust for expected tier differences. Better approach: segment guests by stated room rate expectation, then compare gaps within expectation group.
What sample size is needed for reliable dimension-level scores?
For monthly reporting per dimension (15–22 items), target N ≥ 50–75 guests per month; provides stable dimension means. For segment-specific analysis (business vs. leisure), aim for N ≥ 30–40 per segment. For significant change detection (pre/post intervention), power analysis typically requires N = 100–150 to detect moderate effect (Cohen's d ≈ 0.5) with 80% power.
Sources
- Getty, J. M., & Getty, R. L. (2003). Lodging quality index (LQI): Assessing Expectations and Perceptions of Lodging Quality. Cornell Hotel and Restaurant Administration Quarterly, 44(2), 33-46. link ↗
- Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40. link ↗
- Rauch, D. A., Collins, M. D., Nale, R. D., & Barr, P. B. (2015). Measuring Service Quality in Mid-Scale Hotels. International Journal of Contemporary Hospitality Management, 27(1), 119-106. DOI: 10.1108/ijchm-06-2013-0254 ↗
- Lockyer, T. (2005). The perceived importance of price as one hotel selection factor. International Journal of Hospitality Management, 24(4), 617-628. link ↗
How to cite this page
ScholarGate. (2026, June 3). Hotel Service Quality Scale (HSQS). ScholarGate. https://scholargate.app/en/tourism-management/hotel-service-quality-scale
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Destination Image ScaleTourism Management↔ compare
- Perceived Value Scale for TourismTourism Management↔ compare
- Place Attachment ScaleTourism Management↔ compare
- Tourist Loyalty ScaleTourism Management↔ compare
- Tourist Satisfaction ScaleTourism Management↔ compare