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SAGE Research Methods Foundations最新文献

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Gatekeepers in Qualitative Research 质的研究中的守门人
Pub Date : 1900-01-01 DOI: 10.4135/9781526421036854377
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引用次数: 16
Small Area Estimation 小面积估计
Pub Date : 1900-01-01 DOI: 10.4135/9781526421036899910
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引用次数: 0
Clogg, Clifford C. 克利福德·C·克罗格著。
Pub Date : 1900-01-01 DOI: 10.4135/9781526421036917108
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引用次数: 0
Goldthorpe, John
Pub Date : 1900-01-01 DOI: 10.4135/9781526421036787775
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引用次数: 0
Covert Research 秘密的研究
Pub Date : 1900-01-01 DOI: 10.4135/9781473920835.N2
David Calvey
covert study explored fictive kinship, choreographed bravado, violence, and hypermasculinity in the subculture of bouncers. His study was of a purist type and involved no gatekeeping, key informants, or retrospective debriefing. His study challenged the popular demonization of bouncers. Katherine Frank’s cultural anthropological work, G-Strings and Sympathy (2002), which formed the basis of her on erotic dancing, includes 6 years’ intermittent work as a nude entertainer with five different strip clubs in the United States. Her covert first-hand insider experience, combined with interview data from regular patrons and dancers, covers male desire, sexual fantasy, and counterfeit intimacy. Her work has a landmark status within the field, particularly in providing the male consumer perspective.
秘密研究探索了保镖亚文化中虚构的亲属关系、精心设计的虚张声势、暴力和超级男子气概。他的研究属于纯粹主义类型,不涉及守门人、关键线人或回顾性汇报。他的研究挑战了对保镖的妖魔化。凯瑟琳·弗兰克(Katherine Frank)的文化人类学作品《G-Strings and Sympathy》(2002)构成了她对情色舞蹈的研究基础,其中包括她在美国五家不同的脱衣舞俱乐部断断续续地做了6年的裸体表演者。她秘密的第一手内幕经验,结合对常客和舞者的采访数据,涵盖了男性欲望,性幻想和虚假的亲密关系。她的工作在该领域具有里程碑式的地位,特别是在提供男性消费者视角方面。
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引用次数: 42
Action Research, Concept of 行动研究,概念
Pub Date : 1900-01-01 DOI: 10.4135/9781526421036805697
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引用次数: 1
Suchman, Lucy
Pub Date : 1900-01-01 DOI: 10.4135/9781526421036872160
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引用次数: 0
Interaction Effects 交互作用
Pub Date : 1900-01-01 DOI: 10.4135/9781526421036865524
R. Williams
This model provides an example of an INTERACTION effect; there is an interaction between gender and occupation; the relationship between gender and income is contingent on the occupation of the individual. The following examples illustrate different types of interactions. The row variable is gender (Male or Female), the column variable is type of occupation (A, B, or C). Each cell gives the mean income (in thousands of dollars) for the particular combination of gender and income.
这个模型提供了一个相互作用效应的例子;性别和职业之间存在相互作用;性别和收入之间的关系取决于个人的职业。下面的例子说明了不同类型的交互。行变量是性别(男性或女性),列变量是职业类型(A、B或C)。每个单元格给出性别和收入特定组合的平均收入(以千美元为单位)。
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引用次数: 4
Confirmatory Factor Analysis 验证性因子分析
Pub Date : 1900-01-01 DOI: 10.4135/9781526421036889599
General information......................................................................................................................... 1 Book................................................................................................................................................... 1 Team.................................................................................................................................................. 1 Coronavirus measures..................................................................................................................... 2 Grading.................................................................................................................................................. 2 Schedule................................................................................................................................................ 3 Individual Assignments.................................................................................................................. 4 Final Project......................................................................................................................................... 4 Part 1: questionnaire formation............................................................................................. 5 Part 2: formulate hypotheses.................................................................................................. 5 Part 3: Analysis and results...................................................................................................... 6 Learning Goals.................................................................................................................................... 7 Outline.................................................................................................................................................... 8 Week 1 – Introduction to common cause modeling.......................................................8 Week 2 – Fitting and modifying CFA models.....................................................................8 Week 3 – Measurement invariance, ordinal data and sample size...........................9 Week 4 – Missing data, EFA and higher order models..................................................9 Week 5 – Final Project................................................................................................................ 9
一般信息 .........................................................................................................................1本 ...................................................................................................................................................1团队 ..................................................................................................................................................1冠状病毒的措施 .....................................................................................................................2级配 ..................................................................................................................................................2安排 ................................................................................................................................................3个人作业 ..................................................................................................................4最终项目 .........................................................................................................................................4第1部分:问卷的形成 .............................................................................................5第2部分:制定假说 ..................................................................................................5第3部分:分析和结果 ......................................................................................................6学习目标 ....................................................................................................................................7大纲 ....................................................................................................................................................8周1 -介绍建模的常见原因 ....................................................... 8星期2 -拟合和修改CFA模型 ..................................................................... 8周3 -测量不变性,顺序数据和样本大小 ........................... 9星期4 -缺失的数据,脂肪酸和高阶模型 .................................................. 9星期5 -最终项目 ................................................................................................................9
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引用次数: 1
Emplacement 侵位
Pub Date : 1900-01-01 DOI: 10.4135/9781526421036939916
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引用次数: 2
期刊
SAGE Research Methods Foundations
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