Occasionally, MISS may publish articles of the type “Advances in Methodology”. Advances in Methodology foster best practice in social-scientific measurement or describe recommended changes in testing or analytical procedures. They provide an evidence-based, balanced, method-oriented current review on a focused methodological topic regarding the use and analysis of measurement instruments in the social sciences. This pertains, for example, to the discussion of the impact of a new measurement approach on research in the social sciences in general; a secondary analysis of variables in large-scale datasets that reflect specific concepts that were previously unilluminated; the utility of specific methods applied to any field of measurement instruments in the social sciences; or a primer (tutorial) on how to accurately implement a method for measurement. These articles should provide a good overview of current practices, sound reasoning for new recommendations, and information about methodological developments or shifts in best practice, always emphasizing what is new. An assessment of quality of the evidence before suggesting any changes in methodological standards surrounding the use of measurement instruments in the social sciences is essential. Lakatos (2015), Giebler (2012) and Perl, Greely, & Gray (2006) may serve as examples.
MISS strongly encourages that all datasets on which the conclusions of the paper rely should be available to readers. We encourage authors to ensure that their datasets are either deposited in publicly available repositories (where available and appropriate) or presented in the main manuscript or additional supporting files whenever possible. Please see Springer Nature’s information on recommended repositories.
Maximum length (as a rule of thumb) : 5000 words of text (not including abstract, tables, figures, acknowledgments, references, and online-only material), with no more than a total of five tables and/or figures.
Double-blind peer review
Please note: Measurement Instruments for the Social Sciences operates double-blind peer review. The following information should not be included in the main manuscript file, but should instead be uploaded as part of the covering letter:
- Title page
- Competing interests
- Authors’ contributions
- Acknowledgements
- Authors’ information