Weighing the evidence

Introduction to Social Research Methodology

Author
Affiliation

Ben Stanley

Department of Social Sciences, SWPS University

Published

November 17, 2026

Scenario

You are the junior research team advising the board of Meridian, a mid-sized Polish retail-and-services company with around 450 employees, 32 stores, and a growing e-commerce arm. Annual staff turnover has risen from 14% to 27% in two years, customer satisfaction scores are falling, and the board wants evidence, not hunches.

Before designing any study of its own, the team must review what is already known about employee turnover in retail. Your first search has returned the seven sources below. All of them are fictional, but each is typical of the kind of material a real search produces.

Work in groups of 3–4. You will need one device with internet access per group for Task 2.

Task 1: Rank the sources (30 minutes)

The seven sources

Source A

The Retention Revolution: Winning the War for Frontline Talent (2025). Hartwell & Grey Global Insights — the research arm of Hartwell & Grey, one of the world’s largest management consultancies.

Drawing on a proprietary survey of 4,000 frontline employees across 12 European markets, this white paper reports that 68% of retail staff are considering leaving their employer within twelve months. It presents Hartwell & Grey’s five-pillar Retention Revolution™ framework, deployed successfully with over 40 retail clients.

Source B

Kowalczyk, M., & Ferreira, J. (2022). “Supervisory support and voluntary turnover among frontline retail employees: evidence from a three-wave panel study.” European Journal of Work and Organisational Studies, 31(4), 412–437. [A peer-reviewed academic journal.]

Using a three-wave panel of 1,842 frontline retail employees in four EU countries, this study tests whether perceived supervisory support predicts actual voluntary turnover over 18 months. Supervisory support significantly reduced quitting even after controlling for pay, contract type, and local labour-market conditions, while pay level had a weaker effect than commonly assumed.

Source C

“Why your best shop staff keep quitting (and the one fix nobody tries)” (2026). Blog post by Daria Lem, independent HR consultant, on the PeopleFirst HR blog.

Drawing on the author’s fifteen years of experience advising retail chains, this post argues that exit interviews systematically mislead employers about why staff leave. It recommends “stay interviews” with current employees as the single most effective retention tool.

Source D

“Employee turnover.” Wikipedia. Accessed September 2026.

This encyclopaedia entry defines employee turnover, distinguishes voluntary from involuntary and functional from dysfunctional turnover, and summarises commonly cited causes and costs. It includes a reference list of academic and practitioner sources and carries a banner noting that the article “needs additional citations for verification”.

Source E

“Retailers struggle to keep staff as wage race intensifies” (2026). Piotr Adamski, The Business Courier — a national broadsheet business daily.

This news article reports that quit rates in Polish retail reached record levels last quarter, citing labour-ministry statistics and interviews with three retail executives and one labour economist. It attributes the trend mainly to wage competition from logistics and e-commerce warehouses.

Source F

Novak, T. (2019). “Turnover and commitment in service organisations.” In K. Lindqvist (Ed.), The Psychology of Service Work (pp. 145–178). Novara Academic Press. [A chapter in an edited scholarly book.]

This chapter reviews four decades of research on why service employees leave, comparing economic, attitudinal, and relational models of turnover and assessing the evidence for each. It concludes that no single model dominates and that turnover research remains fragmented across disciplines.

Source G

Retail Workforce Barometer 2025. National Retail Employers’ Federation — an industry association representing retail employers.

Based on an annual survey of 240 member firms, this report presents turnover, vacancy, and absence statistics for the retail sector, broken down by store format, region, and job role. It notes that frontline turnover has risen for the fourth consecutive year and calls on the government to reduce employment costs.

Your tasks

  1. Read and discuss the seven sources. (10 minutes)
  2. Rank all seven from most to least credible as evidence for an academic literature review on the causes of retail employee turnover. For each source, write one or two sentences justifying its position — name the feature that raises or lowers your confidence (peer review, transparency of methods, independence, currency, quality control). Where you found two sources hard to separate, say so and explain what would decide it. (15 minutes)
  3. Managerial context. Academic credibility is not the only kind of usefulness. Separately note which sources you would still show the Meridian board as context for the business problem, and what each contributes that the academic sources do not. (5 minutes)
TipQuestions to ask of every source

Who produced it, and for whom? What do they gain from its conclusions? Are the methods disclosed? Has anyone independent checked the work before publication? Is it reporting research, or selling something?

Task 2: Build and refine a search string (20 minutes)

Meridian’s board has asked the team to find out what published research says about why retail employees quit and what reduces turnover. Your job is to design a Google Scholar search that would retrieve that literature.

  1. List your concepts and synonyms. Identify the 2–3 key concepts in the board’s question and list at least two synonyms or related terms for each (remember: academics write “antecedents” and “turnover intention”, not “reasons for quitting”). (5 minutes)
  2. Write and run a first search string in Google Scholar (scholar.google.com), using at least one Boolean operator (AND, OR, -) or exact-phrase quotation marks. Record the string and the approximate number of results. (5 minutes)
  3. Refine at least twice. Inspect the first page of results, then adjust your string — narrow it (add an AND concept, use quotation marks, add a date filter) or broaden it (add OR synonyms, drop a term) as needed. Run each version and complete the search log below. (10 minutes)
Version Search string (exactly as typed) Approx. hits What changed in the results, and why?
1
2
3
TipReminders
  • Quotation marks search an exact phrase: "employee turnover".
  • OR bundles synonyms; AND joins concepts; a minus sign excludes a term (useful here: turnover is also a finance term).
  • Judge a search by its first page: are these studies you would actually keep after abstract triage?

Wrap-up discussion (10 minutes)

Each group briefly reports: which ranking decisions divided your group, and which single refinement improved your search most? Be ready to defend one ranking that another group might dispute.