2014年3月18日 · This data archive includes Race Implicit Association Test (IAT) scores of 2,355,303 Internet volunteers who completed educational/demonstration versions of the Race IAT at https://implicit.harvard.edu from 2002 to 2012. Data in this archive can be downloaded for all years, either separately by year or in a single file.

iat 方法是 Pandas 中用于访问 DataFrame 特定位置（基于整数索引）的数据。 它与 iloc 类似，但 iat 只能访问单个元素，而 iloc 可以访问切片。 value = df . iat [1, 2] # 访问第二行第三列的值。

The implicit-association test (IAT) is an assessment intended to detect subconscious associations between mental representations of objects in memory. [1] Its best-known application is the assessment of implicit stereotypes held by test subjects, such as associations between particular racial categories and stereotypes about those groups. [2]

These public datasets are the most comprehensive documentation of IAT and self-reported bias scores in existence. In this essay, we describe the IAT procedure, summarize key findings using the IAT to document the pervasiveness and correlates of implicit bias, and discuss various ways to interpret IAT scores.

2024年3月1日 · In this essay, we describe the IAT procedure, summarize key findings using the IAT to document the pervasiveness and correlates of implicit bias, and discuss various ways to interpret IAT scores. We also highlight the most common uses of the IAT.

2012年7月2日 · Description of the Implicit Association Test (IAT) A brief description of the procedure. The generic IAT software was updated on 26 Dec 2007 to correct some variable -naming errors in the SPSS syntax that was posted 26 Aug 07. There is a new pdf file that gives an overview of computation of alternative forms of the D measure.

2022年6月1日 · We show that the IAT data from PI:International have adequate internal consistency (split-half reliability), convergent validity (implicit–explicit correlations), and known groups validity. Given such reliability and validity, we summarize basic descriptive statistics on the overall strength and variability of implicit and explicit attitudes ...

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Transform a dataframe with trial latencies (stored as one line per trial) for a standard format IAT (7 blocks) into a one line summary per subject of the IAT effect using the standard scoring algorithm recommended in Greenwald, Nosek, & Banaji (2003). The goal is to prepare IAT data for sub-sequent analysis.

2000年3月19日 · The IAT’s measure, often referred to as the IAT effect, is based on latencies for two tasks that differ in instructions for using two response keys to classify four categories of stimuli.