Supplementary information for: Pathways to wellbeing: Residential nature, physical activity, and place-belongingness

specified 1.1.Detection of monotones 1.1.1.Dataset: Livskvalitet 2020_V3 *This analysis has been conducted following the instructions provided by: Roni, S. M., & Djajadikerta, H. G. (2021).Data analysis with SPSS for survey-based research.Singapore: Springer.(P.20-22) *This means: a) The procedure was performed before running any other analysis b) The respondent answered 'X' for all questions having a Y-point Likert scale, irrespective of the question clusters.*Therefore I am using the datasets are in their original state.This is also before importing vekt variable in 2021.*The following steps are meant to spot cases with monotonic responses, that is those participants who score the same score in all items with the same type of scale, no matter what the question was about.*Step1: Identifying in the original databases what types of variables and scales are included.We have: a) Register data/technical variables (Bakgrunnsvariabler and Intervjutekniske variabler).These get associated to respondent's ID throught the portal, but are not answered by the respondent.Therefore these can be removed from this analysis b) Items answered by the participant.The following scales are identified:1-1000 continuous scale (9998= dont want to answer, 9999= don't know) 1-100 continuous scale (998= dont want to answer, 999= don't know) 0-10 point-likert scales (98= dont want to answer, 99= don't know) 1-8 point-likert scales (98= dont want to answer, 99= don't know) 1-7 point likert scales (8= dont want to answer, 9= don't know) 1-6 point likert?scales (8= dont want to answer, 9= don't know) 1-5 point likert?scales (8= dont want to answer, 9= don't know) 1-4 point likert?scales (8= dont want to answer, 9= don't know) 1-3 point scales (8= dont want to answer, 9= don't know) 1-2 point scales (8= dont want to answer, 9= don't know) *Moreover, there are variables that are answered as a scale (horizontal), some of them without tags on each value, some of them with tags, some variables are to choose from a display, and I think that some variables are to fill in a number *I see that this analysis is going to get very complex, so we should take some practical decisions.Perhaps it is wise to start just with 1-10 horizontal scales.The logic for starting with these:1-highly comparable scales, 2-Abundant in the dataset, 3-They concern my analyses, 4-if variation is spotted within these, then it can be expected variations through other scales.*Process for 2020.GET FILE='C:\Users\ANONYMOUS\OneDrive -INSTITUTION\PROJECT\Code\Analyse\0.Datasets\Original databases\2020_V3.sav'.