Search Business Research Questionnaires using Search Strings in Google Scholar and Mendeley

TL;DR

Use Google Scholar definition searches by combining a definition cue (e.g., “Define”) with the construct name, then verify the definition by opening the paper.

Briefing Cornell Notes

Briefing

Targeting definitions and measurement instruments in academic databases gets dramatically easier when search terms are engineered to match how papers actually write them. Instead of relying on broad keywords, the workflow uses Google Scholar search strings that force specific patterns—such as “Define” plus a construct name—to surface passages that contain usable definitions, and combinations like “scale/measure/questionnaire” plus a construct to pull up papers that report the instrument.

For definitions, the approach starts with a construct-specific query built around the word “Define.” Searching for “Define” together with “Customer Loyalty” returns results where the construct and the definition cue appear in the text. The results list highlights both terms, but the key step is opening the paper and locating the definition statement—e.g., one result includes a line reading “Define Customer Loyalty as a customer’s expressed preference.” The method also acknowledges that “Define” alone may miss relevant papers, so it expands the pattern using alternatives like “state.” A query structured as “Customer Loyalty” plus “Define” plus “state” (with wildcard-style separation) can surface definitions framed as “X state that Y,” such as “Morgan and Hunt state that trust…” when the construct is treated as a variable.

For questionnaires and scales, the workflow shifts from definition cues to measurement cues. A basic query targets constructs that appear in the title and pairs them with measurement language found in the text, such as “Word of Mouth” combined with “scale.” The transcript demonstrates using a query that searches within the title (intitle) for the construct and within the body for “scale,” yielding papers that contain a developed measurement scale. It then broadens the measurement vocabulary: “scale” can be replaced or supplemented with “measure” or “questionnaire,” using OR logic so that any of these terms qualify. Another refinement uses “like it” (as in “Likert”) to catch papers describing agreement formats—e.g., results that mention “a 7-point Likert scale” and report how many items were used to measure “Word of Mouth intentions.”

The same logic scales up to multi-construct searches. A combined query can require either “Word of Mouth” or “Customer Loyalty” in the title, while also requiring measurement language in the text (scale/measure/questionnaire) and a Likert-style cue. This helps narrow down instrument papers even when both constructs appear frequently across the literature, because some papers may include one construct but not the other.

Finally, the workflow extends to Mendeley for instrument hunting. A Mendeley search string is used to filter for likely empirical papers containing a construct and measurement context (e.g., “commitment” paired with “scale/measure/questionnaire”). After opening a candidate paper, the method emphasizes checking the “measure” or “methodology” sections rather than expecting the exact search phrase to appear verbatim. The transcript illustrates finding an “organizational commitment scale” and then locating example items and the cited scale source (e.g., “Meyer and Allen” and a “1979” scale reference). The overall payoff is practical: from large libraries of papers, these targeted strings reduce the number of documents that must be manually screened to find the exact scale and its item wording.

Cornell Notes

Engineered search strings can locate both construct definitions and the exact measurement instruments used in academic papers. In Google Scholar, combining a definition cue like “Define” (or alternatives like “state”) with a construct name surfaces passages that contain explicit definitions, which can then be extracted with their source. For questionnaires, pairing a construct (often in the title) with measurement terms such as “scale,” “measure,” or “questionnaire,” and adding a Likert-style cue like “Likert” helps find papers that report item-based instruments and agreement formats. The same idea can be applied in Mendeley by filtering for likely empirical papers and then checking the methodology/measure sections to retrieve the scale items and citation details.

How does adding “Define” change a Google Scholar search for a construct like “Customer Loyalty”?

A query that includes both “Define” and the construct name forces Google Scholar to return papers where the definition cue and the construct appear together in the text. The results may highlight both terms, but the definition still needs to be verified by opening the paper and locating the definition statement (e.g., a line that defines Customer Loyalty as a customer’s expressed preference).

Why broaden “Define” to include “state” when searching for definitions?

Not all papers use the word “Define” when introducing concepts. Adding “state” captures definition-like phrasing such as “X state that Y,” which can still function as a definition when the construct is treated as a variable. This increases coverage beyond the single keyword “Define.”

What query structure helps find questionnaires or scales for a construct in Google Scholar?

A common structure is to require the construct in the title (using intitle) and require measurement language in the body text. For example, searching for “Word of Mouth” in the title while also searching for “scale” in the text surfaces papers that report a developed measurement scale for Word of Mouth.

How do OR logic and measurement synonyms improve scale discovery?

Using OR logic lets the search match different ways authors describe instruments. Instead of relying only on “scale,” the query can also accept “measure” or “questionnaire,” so papers that use alternative terminology still appear. This reduces missed instruments caused by vocabulary differences.

Why include a Likert-style cue like “like it” in the search?

Many questionnaires describe response formats as Likert scales (e.g., “7-point Likert scale”). Adding a Likert cue helps target papers that not only mention a scale but also specify agreement-based item wording and the number of response points, which is often crucial for extracting the instrument correctly.

How should a researcher use Mendeley search strings differently from Google Scholar results?

Mendeley filtering can identify promising empirical papers, but the exact search phrase may not appear verbatim inside the paper. After opening a candidate paper, the researcher should go directly to the “measure” or “methodology” sections to find the actual scale description, example items, and the cited source (e.g., an organizational commitment scale with example items and a referenced scale origin such as Meyer and Allen, 1979).

Review Questions

When would a “Define + construct” search likely fail, and what alternative keyword pattern could recover those misses?
Design a Google Scholar search string to find a Likert-based questionnaire for a construct of your choice—what terms would you place in the title vs. the body?
After using a Mendeley search string to find candidate papers, what sections should be checked to extract the scale items and citation details?

Key Points

1
Use Google Scholar definition searches by combining a definition cue (e.g., “Define”) with the construct name, then verify the definition by opening the paper.
2
Expand definition searches with alternative phrasing like “state” to capture papers that define concepts without using the word “Define.”
3
For questionnaires, require the construct in the title (intitle) and require measurement terms in the text (e.g., “scale,” “measure,” or “questionnaire”).
4
Add a Likert-style cue (e.g., “like it”) to prioritize papers that report agreement-based response formats and item counts.
5
Use OR logic to search multiple constructs or multiple measurement synonyms in a single query, reducing manual screening.
6
In Mendeley, treat search strings as filters: open promising papers and extract the scale from the methodology/measure sections rather than expecting exact phrase matches.
7
When you find the scale, capture both the item wording and the cited scale source so the instrument can be used correctly in your own work.

Highlights

A “Define + construct” search can surface explicit definition passages, but the definition must be confirmed by opening the paper and locating the definition statement.

Replacing “scale” with OR-based synonyms (“measure” or “questionnaire”) catches instrument papers that use different terminology.

Adding a Likert cue helps find questionnaires that specify response formats (e.g., “7-point Likert scale”) and item counts.

Mendeley search strings work best as a shortlist generator; the methodology/measure sections contain the actual scale items and citations.

Combining title constraints (intitle) with body constraints (scale/measure/questionnaire + Likert cue) sharply narrows instrument-relevant results.

Topics

Google Scholar Search Strings
Mendeley Scale Hunting
Construct Definitions
Questionnaire Scales
Likert Measurement