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. 2020 Apr 30;17(9):3140. doi: 10.3390/ijerph17093140

Table A2.

Table to show the scoring guidelines used for the quality appraisal, based on criteria by Alderfer et al. (2010) [25].

Score Assigned
Quality Criteria Type of Study 1 2 3
Explicit scientific context and purpose Qualitative, Quantitative Poorly done A rationale but not all clear All: Clear rationale for study, theoretically and/or empirically based questions/predictions, specified purpose
Methods Qualitative, Quantitative Poorly done Appropriate design and analysis but not enough description for replication Appropriate design and analysis for question posed, enough description of methods to allow for replication
Measurement reliability Quantitative Poorly done Adequate statistical methods but not always best and interpretation adequate but not always appropriate Reliable measurement of variables, adequate statistical methods used, appropriate interpretation of results
Statistical power Quantitative Not sufficient Adequate but could be improved. Statistical power is sufficient
Internal validity Quantitative Poorly done Groups are comparable on most aspects but adequate steps not always taken. Reverse relationship is possible or 3rd variable is possible, but explained in discussion. Groups are comparable on all aspects aside from IV, and if not adequate steps are taken. Only passage of time occurs between assessments if measured over time. Reverse relationship not possible in correlation design, and not explainable by 3rd variable
Valid measures Quantitative Poorly done Variables are adequately operationalised but some limitations Variables are appropriately operationalised and measured (results would be the same if other measures were used)
External validity Quantitative No evidence that findings can be generalised beyond the study setting The findings can be generalised but there are some limitations The findings are generalizable to the target population, real world, and across time periods
Examples Qualitative No examples given Some examples but not always well explained Examples illustrate conclusions, help reader understand analytic procedure and form possible alternative meanings of the data
Findings framework Qualitative No attempt to integrate findings into a framework Some attempt to integrate findings into a framework but not explained clearly Findings are integrated into a framework
Author perspective Qualitative No attempt to specify theoretical orientation Authors make some attempt to orient their perspective but not explained fully and/or clearly Authors specify their theoretical orientation and expectations that might impact the interpretation of data
Reader perspective Qualitative Poorly done Accurate perspective of topic area but not always clear/Understandable account but not always accurate representation of topic area Accurate, understandable perspective of topic area
Appropriate range Qualitative Poorly done Data is based on more than one situation and has been studied fairly systematically but not there is room for improvement Data is based on a suitable range of informants and situations and/or the topic has been studied systematically and comprehensively within the specified population or situation
Credibility checks Qualitative Poorly done Some attempt to verify findings but some limitations Verification of findings with participants, across multiple coders, or through methodological triangulation
Situated sample Qualitative No attempt to situate the sample A weak attempt to situate the sample Sample is described such that the reader can judge for whom the findings are relevant
Appropriate discussion Qualitative, Quantitative Poorly done Appropriate discussion and largely appropriate conclusion but limitations not fully discussed Appropriate discussion with limitations notes and conclusion appropriate to data gathered
Contribution to knowledge Qualitative, Quantitative Barely Adequate attempt Strong attempt. Contributing something new or validating past results