This readme file was generated on 2023-01-28 by PAUL JOHN SILLITOE GENERAL INFORMATION Title of Dataset: 200471088_Jun2011 - Appendix D Author/Principal Investigator Information Name: Paul John Sillitoe ORCID: 0000-0002-1806-9837 Institution: Was University of Liverpool. Now Independent Researcher. Address: Was LUCAS, School of History Email: Now paul@sillitoe-uk.net PhD Supervisors Information Name: Margaret Procter Name: Caroline Williams Name: Professor Brigitte Resl Date of data collection: 2007-04-01 to 2009-09-30. Geographic location of data collection: Leyland, Lancashire and Liverpool, England Information about funding sources that supported the collection of the data: I gratefully acknowledge receipt of a full-time postgraduate award for doctoral study from the Arts & Humanities Research Council. SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: 200471088_Jun2011 - Appendix D © 2011 by Paul John Sillitoe is licensed under CC BY-SA 4.0 Links to publications that cite or use the data: Sillitoe, P.J. Diplomatic analysis of technical drawings: developing new theory for practical application. Arch Sci 14, 125–168 (2014). https://doi.org/10.1007/s10502-013-9206-9 Links to other publicly accessible locations of the data: None Links/relationships to ancillary data sets: 200471088_Jun2011 - Appendices A-C deposited in hard copy at UoL Research Data Catalogue https://livrepository.liverpool.ac.uk/3167846/ Was data derived from another source? No Recommended citation for this dataset: Sillitoe, Paul J (2011), "Instruments of Power: Developing and applying diplomatic analysis to enhance archival interpretation and research uses of technical drawings." Appendix D to Ph.D. thesis, University of Liverpool DATA & FILE OVERVIEW These seven files provide the complete set of data that was collected to underpin the thesis. 642 Variables were surveyed in all. Of these, 268 Variables produced data of sufficient interest to be further analysed and discussed in the thesis. The remaining 374 Variables have received no further attention. They were, however, included on a CD deposited with the hard copies of the thesis, as Appendix D, to be available for any further research that might make use of them. Their deposit here is made with the same intention. File List 200471088_Jun2011 - Appendix D - Metadata - DEPOSITED.spv - SPSS file containing Lists of (1) Names and Labels of Variables surveyed, (2) Names of Variables, with Variables Coding Values and their Labels 200471088_Jun2011 - Appendix D - Metadata - DEPOSITED.pdf - Contents of .spv Metatdata file, printed out as tables in a pdf document 200471088_Jun2011 - Appendix D - Data - DEPOSITED.sav - SPSS file containing survey data for 642 variables and 2 control numbers, for 400 sampled technical drawings 200471088_Jun2011 - Appendix D - Data - Values - DEPOSITED.csv - Contents of .sav Data file, output showing survey data as Variables Coding Values 200471088_Jun2011 - Appendix D - Data - Labels - DEPOSITED.csv - Contents of .sav Data file, output showing survey data as Variables Coding Values Labels 200471088_Jun2011 - Appendix D - Output - DEPOSITED.spv - SPSS file containing calculated Frequencies of Occurrence of each of the 642 surveyed variables, across the 400 sampled technical drawings 200471088_Jun2011 - Appendix D - Output - DEPOSITED.pdf - Contents of .spv Output file, printed out as tables in a pdf document Relationship between files: Three individual but sequential datasets, variously presented in different files formats Additional related data collected that was not included in the current data package: None Are there multiple versions of the dataset? No METHODOLOGICAL INFORMATION The methodology for the data survey and its context is fully described in the Thesis (200471088_Jun2011 - Thesis), Chapter 3. Data results and analysis are at Chapter 4. In summary, a robustly constructed statistical sample of 400 technical drawings was surveyed, to determine the frequency of occurrence of 642 pre-defined variables. Two control numbers were used, SAMPLENUMBER and IOPNUMBER, giving a total of 644 Variable positions. Data were substantially surveyed using forms designed in IMB SPSS Data Entry Builder (final release v4.0.2), and analysed using SPSS Statistics Base versions 15.0 – 17.0. Bias, error risks, and mitigation were considered and discussed, as were methodological and analytical limitations. DATA-SPECIFIC INFORMATION FOR METATDATA FILES Metadata for the survey is presented in two files formats, .spv and .pdf. The data comprise: 1. Date of Creation of the file. 2. Table "Variable Information", containing 644 SPSS Data Variables, with their Labels and Characteristics. The first two variables are simply sample and project control numbers. 3. Table "Variable Values", containing a complete list of the Values and Values Labels that might be attributed to each of the 642 substantive Data Variables. It should be noted that, in terms only of their presentation, the .pdf table headers are incorrectly formatted. Header "Variable" is missing, and should be in the position occupied by header "Value". Header "Value" should be right-ranged above the column of value numbers. Header "Label" is correct. Missing Data Codes are: -5 = Not Known -7 = No Data -9 = Absent DATA-SPECIFIC INFORMATION FOR DATA FILES Data for the survey are presented in two files formats, .sav and .csv. The data in the two.csv files are differently formed outputs from the same .sav file. They contain: 1. A header Row (Row 1) 2. 400 subsequent Rows (2-401) of survey data, one row for each surveyed technical drawing. 3. For each Row, 644 columns (A-XT) of survey data, one for each Variable. 4. File presents the survey data as SPSS Variables Coding Values. 5. File presents the survey data as Variables Coding Values Labels. Missing Data Codes are: -5 = Not Known -7 = No Data -9 = Absent DATA-SPECIFIC INFORMATION FOR OUTPUT FILES The survey data were analysed within SPSS Statistics, to calculate the Frequency of Occurrence of each Value, within each Variable, across all 400 surveyed technical drawings. Although the data for some Variables might appear redundantly obvious, they were necessarily collected to underpin other more detailed data. Here, they are presented as part of the entire set of data collected for 642 substantive Variables, rather than as part of the sub-set of Variables that were subsequently selected for Discussion. The .pdf file presents the data in two types of tables: 1. Firstly, an un-titled set of tables that simply provide, for each of the 642 Variables, a record of (1) the number of Valid Data returns (2) the number of Missing Data returns. 2. Secondly, under the Table Title "Frequency Table", a set of tables that provide a detailed breakdown of the analysed data for each of the 642 Variables. These data give the Values found for each variable, both as an absolute Frequency Value, and as a Percentage of all Values for the Variable. The Percentage Value is also corrected for Missing Data, to give a final Valid Percentage of Frequency of Occurrence for each Value within each of the 642 Variables.