{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":48,"n_cols":5,"rows_kept":48,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[3,2,3,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[13,2,13,3],[14,2,14,3],[18,2,18,3],[21,2,21,3],[21,4,21,5],[22,2,22,3],[22,4,22,5],[23,2,23,3],[23,4,23,5],[24,2,24,3],[26,2,26,3],[27,2,27,3],[28,2,28,3],[29,2,29,3],[30,2,30,3],[31,2,31,3],[42,2,42,3],[43,2,43,3],[45,2,45,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910784007803321"]
[null,null,"Titolo",null,"Prisoners of war, prisoners of peace [[electronic resource] ] : captivity, homecoming, and memory in World War II / / edited by Bob Moore & Barbara Hately-Broad"]
[null,null,"Pubbl/distr/stampa",null,"Oxford ; ; New York, : Berg, c2005"]
[null,null,"ISBN",null,"1-282-59651-9"]
[{"$nulls":4},"9786612596513"]
[{"$nulls":4},"1-84520-724-6"]
[null,null,"Edizione",null,"[English ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (288 p.)"]
[null,null,"Disciplina",null,"940.54/72/0922"]
[null,null,"Soggetti",null,"World War, 1939-1945 - Prisoners and prisons"]
[{"$nulls":4},"World War, 1939-1945 - Social aspects"]
[{"$nulls":4},"Ex-prisoners of war - Social conditions - 20th century"]
[{"$nulls":4},"Ex-prisoners of war - Rehabilitation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Revisions of papers presented at a conference organized by the International Committee for the History of the Second World War in Hamburg in July, 2002."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 195-247) and index."]
[null,null,"Nota di contenuto",null,"Preliminaries; Contents; Contributors; Glossary; Acknowledgments; Foreword; 1 Overview; 2 The Repatriation of Prisoners of War once Hostilities are Over; 3 British Perceptions of Italian Prisoners of War, 1940-7; 4 Hatred within Limits; 5 Japanese Deserters and Prisoners of War in the Battle of Okinawa; 6 Re-educating the German Prisoners of War; 7 Anti-fascist Propaganda among Italian Prisoners of War in the USSR, 1941-6; 8 The Nucleus of a New German Ideology?; 9 Belated Homecomings; 10 The Internment of Returning Soviet Prisoners of War after 1945; 11 Coping in Britain and France"]
[{"$nulls":4},"12 After the Burma-Thailand Railway13 Languages of Memory; 14 Christina Twomey; 15 Prisoners of War in Australian National Memory; Notes; Index"]
[null,null,null,"Sommario/riassunto","Millions of servicemen of the belligerent powers were taken prisoner during World War II. Until recently, the popular image of these men has been framed by tales of heroic escape or immense suffering at the hands of malevolent captors. For the vast majority, however, the reality was very different."]
[null,"2.","Record Nr.",null,"UNINA9910580174103321"]
[null,null,"Autore",null,"Daniels Reza C"]
[null,null,"Titolo",null,"How Data Quality Affects our Understanding of the Earnings Distribution / / by Reza Che Daniels"]
[null,null,"Pubbl/distr/stampa",null,"2022"]
[{"$nulls":4},"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"981-19-3639-0"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xx, 114 pages) : illustrations (some color)"]
[null,null,"Classificazione",null,"BUS069000HIS001000MAT029000"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Sampling (Statistics)"]
[{"$nulls":4},"Quantitative research"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Survey Methodology"]
[{"$nulls":4},"Data Analysis and Big Data"]
[{"$nulls":4},"Methodology of Data Collection and Processing"]
[{"$nulls":4},"African Economics"]
[{"$nulls":4},"African History"]
[{"$nulls":4},"Africa Economic conditions"]
[{"$nulls":4},"Africa History"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys -- Questionnaire Design and Response Propensities for Labour Income Micro Data -- Univariate Multiple Imputation for Coarse Employee Income Data -- Conclusion: How Data Quality Aﬀects our Understanding of the Earnings Distribution."]
[null,null,null,"Sommario/riassunto","This open access book demonstrates how data quality issues affect all surveys and proposes methods that can be utilised to deal with the observable components of survey error in a statistically sound manner. This book begins by profiling the post-Apartheid period in South Africa's history when the sampling frame and survey methodology for household surveys was undergoing periodic changes due to the changing geopolitical landscape in the country. This book profiles how different components of error had disproportionate magnitudes in "]
[{"$nulls":4},"different survey years, including coverage error, sampling error, nonresponse error, measurement error, processing error and adjustment error. The parameters of interest concern the earnings distribution, but despite this outcome of interest, the discussion is generalizable to any question in a random sample survey of households or firms. This book then investigates questionnaire design and item nonresponse by building a response propensity modelfor the employee income question in two South African labour market surveys: the October Household Survey (OHS, 1997-1999) and the Labour Force Survey (LFS, 2000-2003). This time period isolates a period of changing questionnaire design for the income question. Finally, this book is concerned with how to employee income data with a mixture of continuous data, bounded response data and nonresponse. A variable with this mixture of data types is called coarse data. Because the income question consists of two parts -- an initial, exact income question and a bounded income follow-up question -- the resulting statistical distribution of employee income is both continuous and discrete. The book shows researchers how to appropriately deal with coarse income data using multiple imputation. The take-home message from this book is that researchers have a responsibility to treat data quality concerns in a statistically sound manner, rather than making adjustments to public-use data in arbitrary ways, often underpinned by undefensible assumptions about an implicit unobservable loss function in the data. The demonstration of how this can be done provides a replicable concept map with applicable methods that can be utilised in any sample survey. ."]