Surveying Sexual and Gender Minorities: Methodological Challenges and Good Practices Within the Total Survey Error Framework
暫譯: 性與性別少數調查：總體調查誤差框架下的方法學挑戰與良好實務

Meitinger, Katharina, Moretti, Angelo

Surveying Sexual and Gender Minorities: Methodological Challenges and Good Practices Within the Total Survey Error Framework
  • 出版商: CRC
  • 出版日期: 2026-11-19
  • 售價: $5,180
  • 貴賓價: 9.5 折 $4,921
  • 語言: 英文
  • 頁數: 252
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032986107
  • ISBN-13: 9781032986104
  • 相關分類: 機率統計學 Probability-and-statistics

    • 尚未上市，無法訂購

相關主題

商品描述

This edited volume examines the challenges and innovations in collecting, measuring, and analysing data on sexual and gender minorities. As interest in sexual and gender minority research grows across academia and policy, the need for high-quality, inclusive, and comparable data has become increasingly urgent. However, existing data sources remain fragmented and methodologically complex.

The book provides a critical overview of major data sources, including general population surveys and dedicated LGBTIQ+ studies, assessing their strengths and limitations in terms of representativeness, comparability, and data quality. Drawing on the Total Survey Error framework, the book evaluates different approaches to measuring sexual orientation and gender identity. It offers practical guidance on questionnaire design and survey implementation to improve validity and inclusivity of survey measures. It also presents sampling approaches and post-survey adjustments for LGBTIQ+ studies.

Key Features:

  • Provides a Total Survey Error framework for survey research focussing on sexual and gender minorities
  • Provides an overview of data sources for LGBTIQ+ research, including international surveys and targeted studies
  • Offers practical guidance on measuring sexual orientation and gender identity using state-of-the-art frameworks
  • Discusses methodological challenges such as non-probability sampling, disclosure, and sampling hard-to-reach populations
  • Highlights innovative approaches, including boost samples, online data collection, and census developments
  • Includes cross-national perspectives and real-world case studies

The book aims to position survey research focussing on sexual and gender minorities as a rapidly evolving field and provides guidance for researchers, statisticians, data producers, and policy makers working on equality, diversity, and inclusion.

商品描述(中文翻譯)

本編論文集探討蒐集、測量與分析性與性別少數資料時所面臨的挑戰與創新。隨著學術界與政策領域對性與性別少數研究的關注日益增加，對高品質、具包容性且可比較資料的需求也愈來愈迫切。然而，現有資料來源仍相當零散，在方法論上也十分複雜。

本書批判性地概述各主要資料來源，包括一般人口調查與專門針對 LGBTIQ+ 的研究，並從代表性、可比較性與資料品質等面向評估其優勢與限制。本書以總體調查誤差（Total Survey Error）架構為基礎，評估測量性傾向與性別認同的不同方法。此外，本書也針對問卷設計與調查執行提供實務指引，以提升調查測量的效度與包容性，並介紹適用於 LGBTIQ+ 研究的抽樣方法與調查後調整方式。

主要特色：

• 提供以性與性別少數為焦點之調查研究的總體調查誤差（Total Survey Error）架構
• 概述 LGBTIQ+ 研究的資料來源，包括國際調查與針對特定族群進行的研究
• 運用最先進的架構，提供測量性傾向與性別認同的實務指引
• 討論非機率抽樣、身分揭露，以及難以接觸族群抽樣等方法論挑戰
• 介紹創新方法，包括擴增樣本（boost samples）、線上資料蒐集與人口普查的發展
• 收錄跨國觀點與真實世界案例研究

本書旨在將以性與性別少數為焦點的調查研究定位為一個快速發展中的領域，並為從事平等、多元與共融工作的研究人員、統計學家、資料生產者及政策制定者提供指引。

作者簡介

Dr Katharina Meitinger is a cross-cultural survey methodologist in the Department of Methodology and Statistics, Utrecht University. In her research she combines quantitative and qualitative approaches to enhance the inclusiveness, comparability, and quality of international survey data. Her work particularly focusses on measurement aspects of survey data. Her work on optimal cross-national survey measures for sexual and gender minorities is funded by the Dutch Research Council (NWO) via the projects 'Holding the rainbow up: Cross-cultural measurement of gender identification and sexual orientation (SOGI)' and 'Regional validity of survey questions on attitudes towards homosexuality in Europe: Combining web probing with small area estimation' (in collaboration with Angelo Moretti).

Dr Angelo Moretti is a survey statistician and works at Utrecht University in the Department of Methodology and Statistics. He is an elected member of the International Statistical Institute (ISI). He is part of the European Survey Research Association (ESRA) board, where he is currently serving as Conference Chair. He is the Principal Investigator of the 5-year ERC funded project 'Small Area Estimation Methods to Monitor the Progress towards the Sustainable Development Goals at the Subnational Level in the European Union' (SAESDGs-EU). He has conducted research in small area estimation under multivariate mixed-models, survey calibration, mean squared error estimation based on bootstrap approaches, data integration methods (statistical matching and probabilistic record linkage), and weighting of non-probability samples. His work has been published in leading journals such as the Journal of the Royal Statistical Society: Series C, International Statistical Review, and the Journal of Survey Statistics and Methodology.

作者簡介(中文翻譯)

Katharina Meitinger 博士是 Utrecht University 方法學與統計學系的跨文化調查方法學家。她在研究中結合量化與質化方法，以提升國際調查資料的包容性、可比性與品質。她的研究尤其著重於調查資料的測量面向。她針對性與性別少數族群最佳跨國調查測量方法的研究，獲荷蘭研究委員會（Dutch Research Council，NWO）資助，研究計畫包括「舉起彩虹：性別認同與性傾向（SOGI）的跨文化測量」（Holding the rainbow up: Cross-cultural measurement of gender identification and sexual orientation）以及「歐洲對同性戀態度調查問題的區域效度：結合網路探測與小區域估計」（Regional validity of survey questions on attitudes towards homosexuality in Europe: Combining web probing with small area estimation）；後者與 Angelo Moretti 合作進行。

Angelo Moretti 博士是調查統計學家，任職於 Utrecht University 方法學與統計學系。他是 International Statistical Institute（ISI）的當選會員，也是 European Survey Research Association（ESRA）理事會成員，目前擔任會議主席。他是由 European Research Council（ERC）資助、為期五年的研究計畫「在歐洲聯盟次國家層級運用小區域估計方法監測永續發展目標的進展」（Small Area Estimation Methods to Monitor the Progress towards the Sustainable Development Goals at the Subnational Level in the European Union，SAESDGs-EU）的首席研究主持人。他曾針對多變量混合模型下的小區域估計、調查校準、以 bootstrap 方法為基礎的均方誤差估計、資料整合方法（統計配對與機率式記錄連結），以及非機率樣本加權等主題進行研究。他的研究成果發表於多本頂尖期刊，包括《Journal of the Royal Statistical Society: Series C》、《International Statistical Review》及《Journal of Survey Statistics and Methodology》。

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