A cross-cultural validation of the implicit positive and negative affect test (IPANAT): Results from ten countries across three continents

Markus Quirin; Monika Wróbel; Andrea Norcini Pala; Stefan Stieger; Jos Brosschot; Miguel Kazén; Joshua A. Hicks; Olga Mitina; Dong Shanchuan; Ruta Lasauskaite; Nicolas Silvestrini; Patrizia Steca; Maria A. Padun; Julius Kuhl

doi:10.1027/1015-5759/a000315

A cross-cultural validation of the implicit positive and negative affect test (IPANAT): Results from ten countries across three continents

Markus Quirin, Monika Wróbel, Andrea Norcini Pala, Stefan Stieger, Jos Brosschot, Miguel Kazén, Joshua A. Hicks, Olga Mitina, Dong Shanchuan, Ruta Lasauskaite, Nicolas Silvestrini, Patrizia Steca, Maria A. Padun, Julius Kuhl

Research output: Journal article (peer-reviewed) › Journal article

28 Citations (Scopus)

Abstract

Self-report measures of affect come with a number of difficulties that can be circumvented by using indirect measurement procedures. The Implicit Positive and Negative Affect Test (IPANAT) is a recently developed measure of automatic activation of representations of affective states and traits that draws on participants' ratings of the extent to which nonsense words purportedly originating from an artificial language bear positive or negative meaning. Here we compared psychometric properties of this procedure across 10 countries and provide versions in corresponding languages (Chinese, Dutch, English, French, German, Italian, Polish, Russian, and Spanish). The results suggest good reliability, metric invariance, and construct validity across countries and languages. The IPANAT thus turns out as a useful tool for the indirect assessment of affect in different languages and cultures.

Original language	English
Pages (from-to)	52-63
Number of pages	12
Journal	European Journal of Psychological Assessment
Volume	34
Issue number	1
DOIs	https://doi.org/10.1027/1015-5759/a000315
Publication status	Published - Jan 2018
Externally published	Yes

Keywords

Implicit Affect
Indirect Assessment
Metric Invariance
Negative Affect
Positive Affect

ASJC Scopus subject areas

Applied Psychology

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10.1027/1015-5759/a000315

Cite this

Quirin, M., Wróbel, M., Pala, A. N., Stieger, S., Brosschot, J., Kazén, M., Hicks, J. A., Mitina, O., Shanchuan, D., Lasauskaite, R., Silvestrini, N., Steca, P., Padun, M. A., & Kuhl, J. (2018). A cross-cultural validation of the implicit positive and negative affect test (IPANAT): Results from ten countries across three continents. European Journal of Psychological Assessment, 34(1), 52-63. https://doi.org/10.1027/1015-5759/a000315

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title = "A cross-cultural validation of the implicit positive and negative affect test (IPANAT): Results from ten countries across three continents",

abstract = "Self-report measures of affect come with a number of difficulties that can be circumvented by using indirect measurement procedures. The Implicit Positive and Negative Affect Test (IPANAT) is a recently developed measure of automatic activation of representations of affective states and traits that draws on participants' ratings of the extent to which nonsense words purportedly originating from an artificial language bear positive or negative meaning. Here we compared psychometric properties of this procedure across 10 countries and provide versions in corresponding languages (Chinese, Dutch, English, French, German, Italian, Polish, Russian, and Spanish). The results suggest good reliability, metric invariance, and construct validity across countries and languages. The IPANAT thus turns out as a useful tool for the indirect assessment of affect in different languages and cultures.",

keywords = "Implicit Affect, Indirect Assessment, Metric Invariance, Negative Affect, Positive Affect",

author = "Markus Quirin and Monika Wr{\'o}bel and Pala, {Andrea Norcini} and Stefan Stieger and Jos Brosschot and Miguel Kaz{\'e}n and Hicks, {Joshua A.} and Olga Mitina and Dong Shanchuan and Ruta Lasauskaite and Nicolas Silvestrini and Patrizia Steca and Padun, {Maria A.} and Julius Kuhl",

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year = "2018",

month = jan,

doi = "10.1027/1015-5759/a000315",

language = "English",

volume = "34",

pages = "52--63",

journal = "European Journal of Psychological Assessment",

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Quirin, M, Wróbel, M, Pala, AN, Stieger, S, Brosschot, J, Kazén, M, Hicks, JA, Mitina, O, Shanchuan, D, Lasauskaite, R, Silvestrini, N, Steca, P, Padun, MA & Kuhl, J 2018, 'A cross-cultural validation of the implicit positive and negative affect test (IPANAT): Results from ten countries across three continents', European Journal of Psychological Assessment, vol. 34, no. 1, pp. 52-63. https://doi.org/10.1027/1015-5759/a000315

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T2 - Results from ten countries across three continents

AU - Quirin, Markus

AU - Wróbel, Monika

AU - Pala, Andrea Norcini

AU - Stieger, Stefan

AU - Brosschot, Jos

AU - Kazén, Miguel

AU - Hicks, Joshua A.

AU - Mitina, Olga

AU - Shanchuan, Dong

AU - Lasauskaite, Ruta

AU - Silvestrini, Nicolas

AU - Steca, Patrizia

AU - Padun, Maria A.

AU - Kuhl, Julius

PY - 2018/1

Y1 - 2018/1

N2 - Self-report measures of affect come with a number of difficulties that can be circumvented by using indirect measurement procedures. The Implicit Positive and Negative Affect Test (IPANAT) is a recently developed measure of automatic activation of representations of affective states and traits that draws on participants' ratings of the extent to which nonsense words purportedly originating from an artificial language bear positive or negative meaning. Here we compared psychometric properties of this procedure across 10 countries and provide versions in corresponding languages (Chinese, Dutch, English, French, German, Italian, Polish, Russian, and Spanish). The results suggest good reliability, metric invariance, and construct validity across countries and languages. The IPANAT thus turns out as a useful tool for the indirect assessment of affect in different languages and cultures.

AB - Self-report measures of affect come with a number of difficulties that can be circumvented by using indirect measurement procedures. The Implicit Positive and Negative Affect Test (IPANAT) is a recently developed measure of automatic activation of representations of affective states and traits that draws on participants' ratings of the extent to which nonsense words purportedly originating from an artificial language bear positive or negative meaning. Here we compared psychometric properties of this procedure across 10 countries and provide versions in corresponding languages (Chinese, Dutch, English, French, German, Italian, Polish, Russian, and Spanish). The results suggest good reliability, metric invariance, and construct validity across countries and languages. The IPANAT thus turns out as a useful tool for the indirect assessment of affect in different languages and cultures.

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KW - Indirect Assessment

KW - Metric Invariance

KW - Negative Affect

KW - Positive Affect

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A cross-cultural validation of the implicit positive and negative affect test (IPANAT): Results from ten countries across three continents

Abstract

Keywords

ASJC Scopus subject areas

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