Dana L Joseph, Micaela Y Chan, Samantha J Heintzelman, Louis Tay, Ed Diener, Victoria S Scotney
{"title":"情感的操纵:情感诱导过程的元分析。","authors":"Dana L Joseph, Micaela Y Chan, Samantha J Heintzelman, Louis Tay, Ed Diener, Victoria S Scotney","doi":"10.1037/bul0000224","DOIUrl":null,"url":null,"abstract":"<p><p>Affect inductions have become essential for testing theories of affect and for conducting experimental research on the effects of mood and emotion. The current review takes stock of the vast body of existing literature on affect induction procedures (AIPs; also referred to as mood inductions) to evaluate the effectiveness of affect inductions as research tools and to test theories of affect (e.g., the bipolarity hypothesis, negativity bias, positivity offset, and theories of emotionality and gender) using meta-analytic data. In doing so, we seek to address whether AIPs are effective for inducing affective states, what conditions maximize their effectiveness, for which emotions they are most effective, for whom they are most effective, and whether affect induction findings can provide insight into theories of affect. A meta-analysis of 874 samples and 53,509 participants suggests that affect inductions are effective on average (δ = 1.32), but this effectiveness varies with the type of affect induction, the emotion being induced, and the gender of the participants. Further, results indicate coupled activation where the induction of positive (negative) emotions leads to a corresponding reduction in negative (positive) emotions, which provides support for the bipolar continuum of positive and negative affect. Results also revealed a negativity bias in which individuals display stronger reactions to negative stimuli than positive stimuli. A practical guide in the choice of affect induction procedures for researchers is presented and implications for emotion theory are discussed. (PsycINFO Database Record (c) 2020 APA, all rights reserved).</p>","PeriodicalId":20854,"journal":{"name":"Psychological bulletin","volume":null,"pages":null},"PeriodicalIF":17.3000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"67","resultStr":"{\"title\":\"The manipulation of affect: A meta-analysis of affect induction procedures.\",\"authors\":\"Dana L Joseph, Micaela Y Chan, Samantha J Heintzelman, Louis Tay, Ed Diener, Victoria S Scotney\",\"doi\":\"10.1037/bul0000224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Affect inductions have become essential for testing theories of affect and for conducting experimental research on the effects of mood and emotion. The current review takes stock of the vast body of existing literature on affect induction procedures (AIPs; also referred to as mood inductions) to evaluate the effectiveness of affect inductions as research tools and to test theories of affect (e.g., the bipolarity hypothesis, negativity bias, positivity offset, and theories of emotionality and gender) using meta-analytic data. In doing so, we seek to address whether AIPs are effective for inducing affective states, what conditions maximize their effectiveness, for which emotions they are most effective, for whom they are most effective, and whether affect induction findings can provide insight into theories of affect. A meta-analysis of 874 samples and 53,509 participants suggests that affect inductions are effective on average (δ = 1.32), but this effectiveness varies with the type of affect induction, the emotion being induced, and the gender of the participants. Further, results indicate coupled activation where the induction of positive (negative) emotions leads to a corresponding reduction in negative (positive) emotions, which provides support for the bipolar continuum of positive and negative affect. Results also revealed a negativity bias in which individuals display stronger reactions to negative stimuli than positive stimuli. A practical guide in the choice of affect induction procedures for researchers is presented and implications for emotion theory are discussed. 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The manipulation of affect: A meta-analysis of affect induction procedures.
Affect inductions have become essential for testing theories of affect and for conducting experimental research on the effects of mood and emotion. The current review takes stock of the vast body of existing literature on affect induction procedures (AIPs; also referred to as mood inductions) to evaluate the effectiveness of affect inductions as research tools and to test theories of affect (e.g., the bipolarity hypothesis, negativity bias, positivity offset, and theories of emotionality and gender) using meta-analytic data. In doing so, we seek to address whether AIPs are effective for inducing affective states, what conditions maximize their effectiveness, for which emotions they are most effective, for whom they are most effective, and whether affect induction findings can provide insight into theories of affect. A meta-analysis of 874 samples and 53,509 participants suggests that affect inductions are effective on average (δ = 1.32), but this effectiveness varies with the type of affect induction, the emotion being induced, and the gender of the participants. Further, results indicate coupled activation where the induction of positive (negative) emotions leads to a corresponding reduction in negative (positive) emotions, which provides support for the bipolar continuum of positive and negative affect. Results also revealed a negativity bias in which individuals display stronger reactions to negative stimuli than positive stimuli. A practical guide in the choice of affect induction procedures for researchers is presented and implications for emotion theory are discussed. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
期刊介绍:
Psychological Bulletin publishes syntheses of research in scientific psychology. Research syntheses seek to summarize past research by drawing overall conclusions from many separate investigations that address related or identical hypotheses.
A research synthesis typically presents the authors' assessments:
-of the state of knowledge concerning the relations of interest;
-of critical assessments of the strengths and weaknesses in past research;
-of important issues that research has left unresolved, thereby directing future research so it can yield a maximum amount of new information.