Recommendation

Measuring loneliness in the European Union

ORCID_LOGO and ORCID_LOGO based on reviews by Thuy-vy Nguyen, Joe Bathelt, Drew Altschul and Mary Louise Pomeroy
A recommendation of:

Evaluating Loneliness Measurements across the European Union

Abstract

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ZH-CN
Submission: posted 17 November 2023
Recommendation: posted 03 February 2025, validated 04 February 2025
Cite this recommendation as:
Renner, E. and McIntosh, R. (2025) Measuring loneliness in the European Union. Peer Community in Registered Reports, . https://rr.peercommunityin.org/articles/rec?id=596

Recommendation

Loneliness is increasingly a focus of governments and health systems due to its potential adverse effects. Various ways to measure it have been developed but the psychometric properties of common instruments have not yet been evaluated across all countries in the European Union (EU).
 
In this study, Paris et al. (2025) will examine three measures of loneliness across 27 EU member countries. An online survey (n = 25,646) incorporated three instruments which were translated into national languages: the De Jong Gierveld Loneliness Scale (6 items), the three-item UCLA Loneliness Scale (3 items), and a single-item measure (“How much of the time, during the past 4 weeks, have you been feeling lonely”). The factor structure, internal consistency, and measurement invariance for the 6- and 3-item measures will be assessed, as well as the construct validity of all three measures using nomological networks. The authors have adopted an n-fold procedure to analyse the data, with a first exploratory fold using half of the data to establish hypotheses for each question and a second confirmatory fold using the remainder of the data to test the hypotheses. The results of the study will provide important information about the psychometric properties of commonly used loneliness instruments, and can indicate which measures are appropriate for loneliness monitoring across the EU.
 
The study plan was refined across four rounds of in-depth review with input from four reviewers, Thuy-vy Nguyen, Joe Bathelt, Mary Louise Pomeroy, and Drew Altschul, and the recommenders, after which it was judged to meet the Stage 1 criteria and received in-principle acceptance.
 
URL to the preregistered Stage 1 protocol: https://osf.io/2s38v
 
Level of bias control achieved: Level 3. At least some data/evidence that will be used to the answer the research question has been previously accessed by the authors (e.g. downloaded or otherwise received), but the authors certify that they have not yet observed ANY part of the data/evidence
 
List of eligible PCI RR-friendly journals:
 
 
References
 
Paris, B., Ropovik, I., Silan, M., d'Hombres, B., Casabianca, E., & IJzerman, H. (2025). Evaluating Loneliness Measurements across the European Union. In principle acceptance of Version 4 by Peer Community in Reigstered Reports. https://osf.io/2s38v
 
Conflict of interest:
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article.

Evaluation round #3

DOI or URL of the report: https://osf.io/preprints/psyarxiv/tk68s

Version of the report: 3

Author's Reply, 21 Jan 2025

Decision by ORCID_LOGO and ORCID_LOGO, posted 21 Jan 2025, validated 21 Jan 2025

Dear Dr Paris,

Thank you for your revised Stage 1 manuscript “Evaluating loneliness measurements across the European Union”, which has taken into consideration the feedback from 2 reviewers and ourselves.

We believe the changes have addressed the reviewer comments. We are returning the manuscript to you for minor edits, as follows (line numbering from the changes-accepted version).

1.      In the Study Design Table, the Sampling Plan column for each row states “Upon completion of the analyses on the exploratory fold, we will formulate hypotheses based on the obtained results, then test them on the confirmatory fold.”. Please delete or revise.

2.      In the Study Design Table, the internal consistency row, last column: should ≥ be <?

3.      In the Abstract (line 39-40): “Following a process of pre-registered analyses in an exploratory fold, followed by pre-registered confirmatory analyses testing the model sharpened in the exploratory fold”. Please deleted the first “pre-registered”.

4.      Line 695-696: “The social subscale of the DJGLS-6, however, exhibited markedly smaller correlations with the other scales ranging from .31 (with the social subscale) to .43 (with T-ILS).” Please check and revise as needed.

5.      Lines 380 and 585: there are open-brackets here but no close-brackets.

We hope that these changes are not too burdensome.

Thank you and best regards,

Liz & Rob


Evaluation round #2

DOI or URL of the report: https://osf.io/preprints/psyarxiv/tk68s

Version of the report: 2

Author's Reply, 13 Jan 2025

Decision by ORCID_LOGO and ORCID_LOGO, posted 21 Jun 2024, validated 21 Jun 2024

Dear Dr IJzerman and co-authors,

Thank you for your revised Stage 1 RR manuscript, which proposes a timely and important research undertaking with potential implications for a variety of stakeholders. Thank you also for your thorough responses to the reviewers’ and recommenders’ initial round of comments and queries. We believe that your decision to run the initial exploratory analyses at Stage 1 makes the next stage more straightforward while maintaining the advantages of preregistration.

We have now received a second round of feedback from the 4 reviewers; 2 have raised some additional queries which will be useful to consider, and 2 have stated they have no further comments. At this time, we are returning the Stage 1 manuscript to you to consider and address the items raised by the reviewers. Please note that both raise questions about the interim interpretation of the results. Designating a preferred loneliness measure is not an explicit goal of the research stated in the design table. Perhaps at this stage you would want to stay more focused on the pre-registered aims, as summarised in the design table. This may involve removing premature recommendations, leaving any such broader (and more subjective) conclusions to Stage 2, where you will be more fully informed by the confirmatory outcomes and where they can be clearly contextualised as a more subjective synthesis of the results, rather than as any direct 'outcome' of a registered analysis.

In addition to the reviewers’ comments, I should note the following. Please ensure that the design table is fully updated to reflect the current status of the analyses and what is yet to be done. (In addition, in one place the manuscript makes reference to certain actions to take place ‘after the analyses in the exploratory fold.’)

Generally, it would be helpful to keep listed concepts (e.g., factor structure, internal consistency, measurement invariance, and construct validity) in the same order throughout the abstract, design table, and manuscript. For the nomological network analysis, the three main concepts (social activities and attitudes, emotional state, and health) appear in various orders throughout the manuscript. Consistent ordering will assist readers’ understanding of what was done. Further, in the construct validity section, a list of items begins with an “a)” under the social activities and attitudes constructs, but there is no “b)” and so on.

Please ensure that tables are called out in numerical order (currently Table 2 is called out before Table 1). Please note also that the data in Table 2 do not look quite right (are columns shifted?).

We very much look forward to seeing your revised manuscript in due course.

Thank you and best regards,

Liz & Rob

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Note from Managing Board: To accommodate reviewer and recommender holiday schedules, PCI RR will be closed to submissions from 1st July — 1st September. During this time, reviewers will be able to submit reviews and recommenders will issue decisions, but no new or revised submissions can be made by authors. If you wish your revised manuscript to be evaluated before 1st September, please be sure to resubmit no later than 30th June.

Reviewed by , 28 May 2024

Reviewed by ORCID_LOGO, 03 Jun 2024

This article makes a much-needed contribution to advancing the research literature on loneliness. By evaluating psychometric properties of existing loneliness measurement tools, the study will yield important implications for policies and practices aiming to curb the growing loneliness epidemic. I applaud the authors for their methodological rigor. The text is well written and the authors provide an interesting summary of the findings from the exploratory fold. Furthermore, they have done a commendable job in addressing the reviewers’ previous comments. I have attached several additional recommendations that may strengthen the clarity and relevance of the article to end-users.

Download the review

Reviewed by ORCID_LOGO, 10 Jun 2024

I have reviewed the authors' responses to my comments. Thank you for having addressed them. I am happy to approve this manuscript to proceed. Good luck with the research and Stage 2 write up!

Reviewed by ORCID_LOGO, 13 May 2024

The authors provided a comprehensive revision that addressed all of my previous comments. I have no further comments to add.


Evaluation round #1

DOI or URL of the report: https://osf.io/83uy6?view_only=a5267f6936e14c369eaee0d261dffbe1

Version of the report: 1

Author's Reply, 26 Apr 2024

Decision by ORCID_LOGO and ORCID_LOGO, posted 02 Feb 2024, validated 02 Feb 2024

Dear Dr. Paris and colleagues,

We have received 4 thorough reviews of your Stage 1 submission regarding the evaluation of three measurements of loneliness across the European Union. Each of the reviews raises points that should be addressed in a revised version of the manuscript. Notable are requests for information on translations and cultural differences, independent ethical review, the code and some of the functions, mention of the treatment of outliers/null values in the text, and some conceptual clarifications; however, this is not an exhaustive list.

Importantly, pre-registration of the full exploratory-confirmatory pipeline is a variation on the traditional pre-registration of the confirmatory analysis after performance of exploratory analysis. This makes it important to establish how you will eliminate analytic flexibility based on knowledge of the results. In the section on exploratory factor analysis (L389-392), you state that "If the factor structure typically used in the literature did not match the most optimal structure identified through exploratory factor analysis, we decided on a structure for the subsequent analyses. Again, our decision aimed to balance theoretical parsimony with model fit." The proposal here (as also stated elsewhere in the plan) is to make a decision based on a balancing of theoretical parsimony with model fit. This is not an algorithmic decision - it involves a degree of subjective judgement. How would readers of the Stage 2 manuscript be assured that you did not revise your judgement of the best EFA model based on the subsequent CFA stage? Is it possible to unambiguously specify in advance the decision process for choosing the best EFA model? If not, do you think it would be worth running this step first, and submitting the Stage 1 for the CFA instead?

Finally, our understanding is that the data exist within your research team (i.e., reside with one of the authors). Can you please explain your claim to Level 4 bias control, and whether any additional measures can be put in place to reduce the possibility of bias? See Section 3.6 and Table 1 here for more details: https://rr.peercommunityin.org/about/full_policies.

We would encourage you to consider these matters and submit a revision of your manuscript, which we look forward to seeing.

Thank you and best regards,

Liz and Rob

Reviewed by , 25 Jan 2024

Reviewed by ORCID_LOGO, 25 Jan 2024

This article makes a much-needed contribution to advancing the research literature on loneliness. By evaluating psychometric properties of existing loneliness measurement tools, the study will yield important implications for policies and practices aiming to curb the growing loneliness epidemic. I applaud the authors for their methodological rigor. The considerations posed throughout the text are thoughtful and the paper is well-written. I have enclosed several key recommendations that may strengthen the quality, clarity, and relevance of the article to end-users. These comments are summarized in the attached document. I have also attached a revised manuscript with additional feedback in track changes and the comment bar.

Download the review

Reviewed by ORCID_LOGO, 25 Jan 2024

1A. The scientific validity of the research question(s)

The current research aims to look at performance of two loneliness scales, the DJGLS-6 and T-ILS, in data sets collected from samples representing 27 EU member states. The research questions are important and the findings will allow the readers to determine 1) factor structure of the 2 scales, 2) construct validity based on correlations with related constructs, and 3) whether and for which countries can the scales be used and for cross-country comparisons. I particularly think #3 is very important. 

1B. The logic, rationale, and plausibility of the proposed hypotheses (where a submission proposes hypotheses)

The hypotheses are logical and rational. The authors also indicate where they are sure or not sure about the apriori hypotheses. 

1C. The soundness and feasibility of the methodology and analysis pipeline (including statistical power analysis or alternative sampling plans where applicable)

The method of data collection, including translation of the original English version, was explained. However, I would like the author to add in details related to translation process; for example, were texts translated verbatim, or were there steps to also gather cultural input from native-speakers of each country? I understand that data has been collected, so I am only asking for clarification so future research can look for ways to improve, in the case that texts were only translated verbatim. 

1D. Whether the clarity and degree of methodological detail is sufficient to closely replicate the proposed study procedures and analysis pipeline and to prevent undisclosed flexibility in the procedures and analyses

Yes. 

1E. Whether the authors have considered sufficient outcome-neutral conditions (e.g. absence of floor or ceiling effects; positive controls; other quality checks) for ensuring that the obtained results are able to test the stated hypotheses or answer the stated research question(s).

I would like the authors to consider more the descriptive statistics of the scales. There was a discussion around how to deal with 3-point scales and not to treat them as continuous scales. However, what if there is a ceiling effect where most participants in any specific countries are either on the very high or low end of the response scales, would this affect the planned analyses in anyway (I do not know because I am not an expert in these analyses so this is a question in case it needs to be considered). In that case, will data need to be recoded for that country, for example?

Overall, I think this is a very good and well thought-out research plan and I look forward to reading the findings of this work. 

Dr. Thuy-vy Nguyen

Reviewed by ORCID_LOGO, 19 Jan 2024

I would like to thank the authors and the editor for the opportunity to review this Stage 1 report. I found the report very clear, well-written, and exceptionally detailed. The research addresses an important question with commendable rigor. Below, I present my detailed evaluation, structured in alignment with the criteria delineated by PCI.

1A. The scientific validity of the research question(s): The research question focuses on establishing the psychometric properties of short scales to measure loneliness across EU countries. This question is of high practical and scientific importance. The background literature is well described and shows a clear need for this research. The psychometric approach is also clearly described and aligns well with the research question.

The study seems to have been conducted in accordance with ethical research standards. However, a statement about independent ethics review is missing. It is recommended to include a statement regarding independent ethics review to enhance the report's comprehensiveness.

1B. The logic, rationale, and plausibility of the proposed hypotheses: The study is largely descriptive with a focus on establishing psychometric properties of established self-ratings scales of loneliness across EU countries. The proposed psychometric measures appear well suited towards this aim. The rationale for establishing these psychometric properties follows logically from the extensive review of previous studies from different EU countries.


1C. The soundness and feasibility of the methodology and analysis pipeline: As I am not a statistician, I am unable to comment on the finer details of the analysis. From my knowledge, the description of the proposed method appears very detailed and well-suited for the aims of the study. The cross-validation approach with pre-specified exploratory and confirmatory analyses in different folds of the data is particularly strong, in my view.

1D. Whether the clarity and degree of methodological detail is sufficient to closely replicate the proposed study procedures and analysis pipeline and to prevent undisclosed flexibility in the procedures and analyses: The description of the methodology is extensive and should allow for the replication of the findings. Making the code available prior to the analysis is another strong point. However, this code could be better documented. While the input and output parameters are clearly defined, the purpose and parameters of various helper functions are less clear. Improving the documentation, especially regarding the purpose and parameters of various helper functions, would enhance the code's clarity. It would also be helpful to know if the code was tested with simulated data.

1E. Whether the authors have considered sufficient outcome-neutral conditions: The aim of the study is largely exploratory. By incorporating both exploratory and confirmatory steps, the authors consider all possible factor structures for the loneliness measures. Further, the authors plan to provide objective measures of model fit in both the exploratory and confirmatory analyses. This approach ensures a comprehensive understanding of potential outcomes by providing objective measures of model fit in both the exploratory and confirmatory analyses.

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