algner2022_mimi16

9,792 responses from 612 respondents to 16 items.

About this table

Description	Final validated 16-item MIMI scale (workplace gender microaggressions), Study 2 sample N=612
Reference	Algner & Lorenz (2022). You're Prettier When You Smile: Construction and Validation of a Questionnaire to Assess Microaggressions Against Women in the Workplace. Frontiers in Psychology, 13.
DOI	10.3389/fpsyg.2022.809862
Licence	CC BY 4.0
Source data	https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.809862/full

Size and shape

Responses	9,792
Respondents	612
Items	16
Response categories	6
Responses per respondent	16
Responses per item	612
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	ger

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	MIMI-16 (Microinsults and Microinvalidations against women in the workplace)
Mean words per item	12.438
Mean characters per item	72.562
Mean characters per response	7
Flesch-Kincaid grade level	8.235

Columns

cov_agecov_dur_worklifecov_durationcov_educationcov_equalitycov_feminismcov_gendercov_kldbcov_occupational_statuscov_size_residencecov_size_workplacecov_weekly_hourscov_workenvironmentiditemresp

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("algner2022_mimi16")

# Python
pip install irw

import irw
df = irw.fetch("algner2022_mimi16")

Version and provenance

IRW version	v393
Redivis dataset	item_response_warehouse_3 v7.0
Redivis dataset DOI	10.57761/pqqn-pm43
Manifest pin for this IRW version	v7.0
Metadata source	irw_meta v23.0