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  "Type": "Package",
  "Title": "Compute Effect Sizes and Reliability for Implicit Association\nTest (IAT) Data",
  "Version": "0.2.0",
  "Author": "Daniel Storage [aut, cre]",
  "Authors@R": "person(given = \"Daniel\",\nfamily = \"Storage\",\nrole = c(\"aut\", \"cre\"),\nemail = \"danielstorage@icloud.com\")",
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  "Description": "Quickly score raw data outputted from an Implicit\nAssociation Test (IAT; Greenwald, McGhee, & Schwartz, 1998)\n<doi:10.1037/0022-3514.74.6.1464>. IAT scores are calculated as\nspecified by Greenwald, Nosek, and Banaji (2003)\n<doi:10.1037/0022-3514.85.2.197>.  The output of this function\nis a data frame that consists of four rows containing the\nfollowing information: (1) the overall IAT effect size for the\nparticipant's dataset, (2) the effect size calculated for odd\ntrials only, (3) the effect size calculated for even trials\nonly, and (4) the proportion of trials with reaction times\nunder 300ms (which is important for exclusion purposes). Items\n(2) and (3) allow for a measure of the internal consistency of\nthe IAT. Specifically, you can use the subsetted IAT effect\nsizes for odd and even trials to calculate Cronbach's alpha\nacross participants in the sample.  The input function consists\nof three arguments. First, indicate the name of the dataset to\nbe analyzed. This is the only required input. Second, indicate\nthe number of trials in your entire IAT (the default is set to\n220, which is typical for most IATs). Last, indicate whether\ncongruent trials (e.g., flowers and pleasant) or incongruent\ntrials (e.g., guns and pleasant) were presented first for this\nparticipant (the default is set to congruent).  Data files\nshould consist of six columns organized in order as follows:\nBlock (0-6), trial (0-19 for training blocks, 0-39 for test\nblocks), category (dependent on your IAT), the type of item\nwithin that category (dependent on your IAT), a dummy variable\nindicating whether the participant was correct or incorrect on\nthat trial (0=correct, 1=incorrect), and the participant’s\nreaction time (in milliseconds).  A sample dataset (titled\n'sampledata') is included in this package to practice with.",
  "License": "MIT + file LICENSE",
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  "Packaged": {
    "Date": "2026-05-22 18:49:26 UTC",
    "User": "root"
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  "Repository": "https://danielstorage.r-universe.dev",
  "Date/Publication": "2024-09-07 02:50:08 UTC",
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      "title": "Sample Dataset from a Typical IAT",
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      "title": "Function to Analyze Raw Data from an Implicit Association Test (IAT)",
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