The Influence of Emotions on Cognitive Flexibility
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The Influence of Emotions on Cognitive Flexibility by Vera Sacharin A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Psychology) in The University of Michigan 2009 Doctoral Committee: Professor Phoebe C. Ellsworth, Co-Chair Professor Richard D. Gonzalez, Co-Chair Professor Norbert Schwarz Assistant Professor Scott A. Langenecker © Vera Sacharin 2009 Acknowledgements I would like to thank my committee members and advisors Rich Gonzalez, Phoebe Ellsworth, Norbert Schwarz, and Scott Langenecker for their support, advice, and inspiration regarding this dissertation and life as a researcher. I am particularly thankful to them for giving me the opportunity to be their student, for providing me with the freedom to pursue my ideas, and for pushing me to think and try harder. Part of this research was inspired by Xuezhao Lan’s presentation of cross-cultural differences in executive function development during a meeting of the Culture and Cognition lab group run by Shinobu Kitayama and Richard Nisbett. I am grateful for the opportunity to be a member in this lab as well as the PR lab, and thank the lab members for their support. The students who made this research possible by running many experiment hours and coding participants’ responses were Bryan Flory, Tiffany Izard, Nana Kori, Lolita Moss, Justin Hodge, Melissa Wolak, Jason Berger, Callan Burt, Maria Veksler, Josh Lee, and Wooseok Kim. I thank them for their patience, hard work, enthusiasm, and for teaching me how to run a lab. I am very grateful to James Waltz for sending his reversal learning e-prime script by email to an unknown graduate student. Always, I am thankful to Marianne and Walter Kleis, Nadja Sacharin, and David Shuman for their unconditional love and faith, and for always letting me know what matters most in life. Note Chapter 3 was co-authored with Professor Richard Gonzalez. ii Table of Contents Acknowledgements…………………………...……………………………………...……ii List of Figures…………………………………………………………...…………..……iv List of Tables……………………………………...…………………………….…..…....vi Chapter 1. Introduction………………………………………………………….....….....1 2. A Meta-Analysis of Positive and Negative Emotions’ Impact on Cognitive Breadth………...……………...……………………………...….10 3. Happiness Impairs Cognitive Flexibility in Reversal Learning…………….59 4. The Influence of Happiness and Relief on Different Types of Cognitive Flexibility…………………………………………………………...…..…..82 5. Summary and Conclusions……….……………………………...….…….162 iii List of Figures Figure 2.1 Normal q-q plot of standardized mean differences for quantitative cognitive breadth………………………………………………………………………......41 2.2 Normal q-q plot of standardized mean differences for quantitative cognitive breadth, positive vs. neutral emotions………………………………….....….....42 2.3 Normal q-q plot of standardized mean differences for quantitative cognitive breadth, neutral vs. negative emotions………………………………………….43 2.4 Normal q-q plot of standardized mean differences for quantitative cognitive breadth, positive vs. negative emotions………………………….…………..….44 2.5 Boxplot of standardized mean differences for quantitative cognitive breadth…………………………………………………………………………...45 2.6 Average effect size estimates for quantitative cognitive breadth with one study removed…………..……………………………………………….……………..46 2.7 Boxplot of standardized mean differences for quantitative cognitive breadth by performance goals…………………………………………………………….47 2.8 Normal q-q plot of standardized mean differences for qualitative cognitive breadth………………………………………………………..………………….48 2.9 Normal q-q plot of standardized mean differences for qualitative cognitive breadth, positive vs. neutral emotions…….……………….…………………….49 2.10 Normal q-q plot of standardized mean differences for qualitative cognitive breadth, neutral vs. negative emotions………………………………..……........50 2.11 Normal q-q plot of standardized mean differences for qualitative cognitive breadth, positive vs. negative emotions……….………………………………....50 2.12 Boxplot of standardized mean differences for qualitative cognitive breadth.…...52 iv Figure 2.13 Average effect size estimate for qualitative cognitive breadth with one study removed……………………………………………………………………….…53 2.14 Regression of task difficulty on standardized mean differences.………………..54 3.1 Mean number of trials to learn rules and reversals in different emotion conditions. …………………………………………………………………...…..78 4.1 The relation of variables at the group and individual level of analysis……..….149 4.2 Mean reversal learning scores in different samples by gender and time of data collection…………………………………………………………………..150 4.3 Mean number of sorts in the Free Sorting sub-task of the CCST for different blocks of experiment and emotion conditions……………………………….…151 4.4 Model for the mediation of the influence of happiness on reversal learning by global processing and low goal maintenance………………………………..…152 4.5 Regression of poor reversal learning on goal maintenance and global processing for women………………………………………………………..…153 4.6 Regression of poor reversal learning on goal maintenance and global processing for men………………………………………………………..……154 4.7 The resulting model of the influence of happiness and the interaction of goal maintenance and global processing on reversal learning………………………155 v List of Tables Table 2.1 Sample characteristics across comparisons and reports……………..…………..33 2.2 Effect size estimates for quantitative cognitive breadth........................................35 2.3 Average effect size estimate and 95% confidence interval for quantitative cognitive breadth by emotion group comparison for different models………….37 2.4 Average effect size estimate, 95% confidence interval, and homogeneity test for quantitative cognitive breadth by emotion group comparison and by performance goal………………………………………………………………...38 2.5 Effect size estimates for qualitative cognitive breadth…………………………..39 2.6 Average effect size estimate, 95% confidence interval, and homogeneity test for qualitative cognitive breadth by emotion group comparison for different models……………………………………………………………………………40 3.1 Predictions by different models for reversal learning performance impairment () or improvement () under positive and negative emotions……..77 4.1 Tasks associated with different types of flexibility…………………………….142 4.2 Predictions and results for the influence of happiness on various tasks……..…143 4.3 Frequency of responses in the idea generation task for unusual uses of a brick…………………………………………………………………………….144 4.4 Correlations between idea generation, remote associate, CCST, and reversal learning tasks…………………………………………………………………...145 4.5 Means and standard deviations of scores of the CCST…………………….…..146 4.6 Regulative and associative flexibility performance resulting from combinations of goal maintenance and global processing……….…………….147 4.7 Distribution of women in different emotion conditions according to combinations of goal maintenance and global processing……………………..148 vi Chapter I Introduction Cognitive flexibility is important for creativity, for learning when reward contingencies change, and for redirecting our attention. Previous research has shown that creative behavior improves with positive mood, but researchers disagree about whether other behaviors under the umbrella term “cognitive flexibility” are similarly facilitated. Also, the outcomes of positive mood might depend on the particular positive emotion. In my dissertation research, I contribute to the current debate on this issue by assessing which emotional states influence which types of cognitive flexibility, and why. I focus on the distinction between associative, regulative, and attentional flexibility. Breaking the set of typical associations and creating new associations is called associative flexibility. Associative flexibility underlies creative performance in idea generation and enhances inclusiveness in categorization tasks. Regulative flexibility is an executive function, and is important when people need to deal with changing rules and reward contingencies. It refers to the ability to identify and adjust to different contingencies. Attentional flexibility is the ability to switch attention between different types of tasks, or between different stimulus features. Other types of cognitive flexibility are not the topic of the dissertation; for example, flexibility can refer to evaluative flexibility (the ease of re-evaluating something), spatial flexibility (the ease of 1 re-constructing a spatial configuration), or temporal flexibility (e.g., variability in rhythm). Studies in social psychology have typically used associative flexibility tasks to measure cognitive flexibility. For example, ”[f]lexibility as a measure of creativity manifests itself in the use of different cognitive categories and perspectives and of broad and inclusive cognitive categories” (De Dreu, Baas, & Nijstad, 2008, p. 740). Similarly, “creativity, remote associations, perceptions of relatedness among cognitions . [are seen as] indications of integration and cognitive flexibility (Isen, 1990, p. 80). A typical finding is that positive emotions improve performance (e.g., Isen and colleagues). For example, positive affect increases fluency in idea generation (e.g., Isen, Labroo, & Durlach, 2004; Murray, Sujan, Hirt, & Sujan, 1990). Also, positive affect increases the number of items included in a category and the variety of elements chosen as acceptable category members (e.g., Isen & Daubman, 1984). However, in other areas of psychology, such as cognitive psychology,