Research Data Readme File
(Adapted from Cornell University, licensed under CC-BY 4.0)

This  Data for The Role of Organizational Culture and Climate for Well-Being among Police Custody Personnel: A Multilevel Examinationreadme.txt 
file was generated on 2021-07-07 by Dr Christopher Werner-de-Sondberg


GENERAL INFORMATION

1. Title of Dataset:  Data for The Role of Organizational Culture and Climate for Well-Being among Police Custody Personnel: A Multilevel Examination

2. Author Information
	A. Principal Investigator Contact Information
		Name: Christopher Robert Mark Werner-de-Sondberg
		Institution: Coventry University
		Address: School of Psychology, Social and Behavioural Sciences, Faculty of Health and Life Sciences,
                Coventry University, Priory Street, Coventry CV1 5FB
		Email: ac7495@coventry.ac.uk	

	B. Associate or Co-investigator Contact Information
		Name: Maria Karanika-Murray
		Institution: Nottingham Trent University
		Address: Department of Psychology, Nottingham Trent University, 50 Shakespeare Street, Nottingham NG1 4FQ 
		Email: maria.karanika-murray@ntu.ac.uk

	C. Alternate Contact Information
		Name: Thomas Baguley
		Institution: Nottingham Trent University
		Address: Department of Psychology, Nottingham Trent University, 50 Shakespeare Street, Nottingham NG1 4FQ
		Email: thomas.baguley@ntu.ac.uk
	
	D. Alternate Contact Information
		Name: Nicholas Blagden
		Institution: Nottingham Trent University
		Address: Department of Psychology, Nottingham Trent University, 50 Shakespeare Street, Nottingham NG1 4FQ
		Email: Nicholas.Blagden2@ntu.ac.uk

3. Date of data collection: ranged from Autumn 2015 to Spring 2017

4. Geographic location of data collection: was West and East Midlands, England, UK 

5. Information about funding sources that supported the collection of the data: the research was supported by the National Institute of Health Research (NIHR) Collaboration
for Leadership in Applied Health Research and Care East Midlands (CLAHRC EM). The views expressed in this publication are those of the authors and not necessarily those of the NHS, the
NIHR, or the Department of Health.


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: CC0 1.0 Universal

2. Links to publications that cite or use the data: 1) https://irep.ntu.ac.uk/id/eprint/41625/; and 2) https://doi.org/10.3390/ijerph18126369

3. Links to other publicly accessible locations of the data: https://osf.io/57hae/?view_only=1075b05bf21548ada3a129caacc2df48; https://doi.org/10.17605/OSF.IO/57HAE

4. Links/relationships to ancillary data sets: N/A

5. Was data derived from another source? No

6. Recommended citation for this dataset: Werner-de-Sondberg, C., Karanika-Murray, M., Baguley, T., & Blagden, N. (2021, June 14). Data for The Role of Organizational Culture and Climate 
for Well-Being among Police Custody Personnel: A Multilevel Examination. https://doi.org/10.17605/OSF.IO/57HAE


DATA & FILE OVERVIEW

1. File List: See separate Data Dictionary

2. Relationship between files, if important: The data were collected in four waves using a multilevel 'repeated measures' survey, with each survey separated by a lag of five months.

3. Additional related data collected that was not included in the current data package: Quantitative data were supplemented by qualitative data that was collected at the same points in time,
but has yet to be published. The only difference was that the second, third and fourth surveys sought to track change over time.  This was achieved using three supplementary questions which 
asked participants if they had experienced positive change, negative change or a life changing event of any kind since the last survey.

4. Are there multiple versions of the dataset? No


METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: The multilevel survey was entirely informed by the Integrated Multilevel Model of Organisational Culture and Climate.

2. Methods for processing the data: With all scales averaged following item deletion to maximise omega reliability (Dunn et al., 2014), aggregation was justified using intraclass correlation 
coefficients which allow for weak ICC1s (also providing an effect size and measure of total variance explained by group membership) and strong ICC2s (Bliese, 2000, p. 373). In addition, item 
reduction of newly created (bespoke) and newly adapted (for multilevel use) measures, was achieved using exploratory factor analysis (EFA).  EFA was used to reduce the original 163 items, first 
by 43 following the first wave (N = 84), then by 6 following the second wave (N = 211, i.e. 84 + 127), to settle on a final 114 items (confirmed at the third wave [N = 313, i.e. 84 + 127 + 102] 
and fourth wave [N = 367, i.e. 84 + 127 + 102 + 54]).

3. Instrument- or software-specific information needed to interpret the data: These were largely conducted using hierarchical linear modelling’s random coefficient approach (R Core Team, 2015).  
R was also used to run multilevel mediation, though using indirect procudures published in Sharples and Page-Gould (2016). In addition, a one-way, between-groups ANOVA was conducted using SPSS25
into which was installed PROCESS (version 3.5; Hayes, 2018), in order to conduct some supplementary mediator analyses.

4. Standards and calibration information, if appropriate: N/A

5. Environmental/experimental conditions: N/A

6. Describe any quality-assurance procedures performed on the data: Some initial concerns about participant underestimate were explored by examining response profiles for skewness across all sector
roles. However, these concerns were soon allayed due to the data set having more than 200+ cases (Tabachnick & Fidell, 2013, p. 80). 

7. People involved with sample collection, processing, analysis and/or submission: Undertaken as a PhD, this invloved only th first author.


DATA-SPECIFIC INFORMATION: See separate Data Dictionary