Zobrazeno 1 - 10
of 27
pro vyhledávání: '"David J. Hauser"'
Autor:
David J. Hauser, Norbert Schwarz
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
In everyday language, concepts appear alongside (i.e., collocate with) related concepts. Societal biases often emerge in these collocations; e.g., female (vs. male) names collocate with art- (vs. science-) related concepts, and African American (vs.
Externí odkaz:
https://doaj.org/article/f776494b1a804560b0b018ed031bd453
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Social exclusion has the potential to alter subsequent social interactions with the members of personal networks, especially given their online availability in contemporary life. Nonetheless, there is minimal research examining how social challenges
Externí odkaz:
https://doaj.org/article/b9d74e50e6ce41db9170a75c83ae750c
Publikováno v:
Methoden, Daten, Analysen, Vol 10, Iss 2, Pp 195-221 (2016)
Instructional manipulation checks (IMCs) are frequently included in unsupervised online surveys and experiments to assess whether participants pay close attention to the questions. However, IMCs are more than mere measures of attention – they also
Externí odkaz:
https://doaj.org/article/2bc0fac43ec1493eae8cb95b59f82a87
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Researchers are concerned about whether manipulations have the intended effects. Many journals and reviewers view manipulation checks favorably, and they are widely reported in prestigious journals. However, the prototypical manipulation check is a v
Externí odkaz:
https://doaj.org/article/818c7c62ecd14de3a6f484f2e6ab4c17
Autor:
David J. Hauser, Norbert Schwarz
Publikováno v:
SAGE Open, Vol 5 (2015)
Instructional manipulation checks (IMCs) have become popular tools for identifying inattentive participants in online studies. IMCs function by attempting to trick inattentive participants into responding incorrectly. However, from a conversational p
Externí odkaz:
https://doaj.org/article/f7b0a82d5caa476ba70665f7f612ca60
Autor:
James G. Hillman, David J. Hauser
Publikováno v:
Social Cognition. 39:717-746
People hold narrative expectations for how humans generally change over the course of their lives. In some areas, people expect growth (e.g., wisdom), while in others, people expect stability (e.g., extroversion). However, do people apply those same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4777131811ab7c31dc4d6777718a028
https://doi.org/10.1521/soco.2021.39.6.717
https://doi.org/10.1521/soco.2021.39.6.717
Autor:
David J, Hauser, Aaron J, Moss, Cheskie, Rosenzweig, Shalom N, Jaffe, Jonathan, Robinson, Leib, Litman
Publikováno v:
Behavior research methods.
Maintaining data quality on Amazon Mechanical Turk (MTurk) has always been a concern for researchers. These concerns have grown recently due to the bot crisis of 2018 and observations that past safeguards of data quality (e.g., approval ratings of 95
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::fa741ab3e6741b31ebe5f5ade57ed035
https://pubmed.ncbi.nlm.nih.gov/36326997
https://pubmed.ncbi.nlm.nih.gov/36326997
Autor:
David J. Hauser, Norbert Schwarz
Publikováno v:
Social Psychological and Personality Science. 12:1225-1232
Bodily sensations impact metaphorically related judgments. Are such effects obligatory or do they follow the logic of knowledge accessibility? If the latter, the impact of sensory information should be moderated by the accessibility of the related me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8653ce0f9cd65422f9cffd72d6173e83
https://doi.org/10.1177/1948550620971968
https://doi.org/10.1177/1948550620971968
Autor:
David J. Hauser, Megan E. Fleming
Publikováno v:
Science Communication
Natural disasters are often described as having antagonistic qualities (e.g., wildfires ravage). The information deficit model presumes that when people assess the risk of weather hazards, they ignore irrelevant metaphoric descriptors. However, metap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1adab70155685c67e41e670d0acd1f6e
https://pubmed.ncbi.nlm.nih.gov/34489614
https://pubmed.ncbi.nlm.nih.gov/34489614
Autor:
David J. Hauser, Aaron J. Moss, Cheskie Rosenzweig, Shalom N. Jaffe, Jonathan Robinson, Leib Litman
Maintaining data quality on Amazon Mechanical Turk (MTurk) has always been a concern for researchers. These concerns have grown recently due to the bot crisis of 2018 and observations that past safeguards of data quality (e.g., approval ratings of 95
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98d180ecd2f004a3c54872a6a03774da
https://doi.org/10.31234/osf.io/48yxj
https://doi.org/10.31234/osf.io/48yxj
