| Name : R-IATanalytics
| |
| Version : 0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.1.1
| Date : 2024-09-09 11:06:22
|
| Group : Development/Libraries/Other
| Source RPM : R-IATanalytics-0.2.0-lp154.1.1.src.rpm
|
| Size : 0.02 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Compute Effect Sizes and Reliability for Implicit Association Test (IAT) Data
|
Description :
Quickly score raw data outputted from an Implicit Association Test
(IAT; Greenwald, McGhee, & Schwartz, 1998)
< doi:10.1037/0022-3514.74.6.1464>. IAT scores are calculated as
specified by Greenwald, Nosek, and Banaji (2003)
< doi:10.1037/0022-3514.85.2.197>. The output of this function is a
data frame that consists of four rows containing the following
information: (1) the overall IAT effect size for the participant\'s
dataset, (2) the effect size calculated for odd trials only, (3) the
effect size calculated for even trials only, and (4) the proportion of
trials with reaction times under 300ms (which is important for
exclusion purposes). Items (2) and (3) allow for a measure of the
internal consistency of the IAT. Specifically, you can use the
subsetted IAT effect sizes for odd and even trials to calculate
Cronbach\'s alpha across participants in the sample. The input function
consists of three arguments. First, indicate the name of the dataset to
be analyzed. This is the only required input. Second, indicate the
number of trials in your entire IAT (the default is set to 220, which
is typical for most IATs). Last, indicate whether congruent trials
(e.g., flowers and pleasant) or incongruent trials (e.g., guns and
pleasant) were presented first for this participant (the default is set
to congruent). Data files should consist of six columns organized in
order as follows: Block (0-6), trial (0-19 for training blocks, 0-39
for test blocks), category (dependent on your IAT), the type of item
within that category (dependent on your IAT), a dummy variable
indicating whether the participant was correct or incorrect on that
trial (0=correct, 1=incorrect), and the participant’s reaction time (in
milliseconds). A sample dataset (titled \'sampledata\') is included in
this package to practice with.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
