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Dive into the research topics where Chris S. Hulleman is active.

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Featured researches published by Chris S. Hulleman.


Psychological Bulletin | 2010

A Meta-Analytic Review of Achievement Goal Measures: Different Labels for the Same Constructs or Different Constructs with Similar Labels?.

Chris S. Hulleman; Sheree M. Schrager; Shawn M. Bodmann; Judith M. Harackiewicz

This meta-analysis addresses whether achievement goal researchers are using different labels for the same constructs or putting the same labels on different constructs. We systematically examined whether conceptual and methodological differences in the measurement of achievement goals moderated achievement goal intercorrelations and relationships with outcomes. We reviewed 243 correlational studies of self-reported achievement goals comprising a total of 91,087 participants. The items used to measure achievement goals were coded as being goal relevant (future-focused, cognitively represented, competence-related end states that the individual approaches or avoids) and were categorized according to the different conceptual definitions found within the literature. The results indicated that achievement goal-outcome and goal-goal correlations differed significantly depending on the goal scale chosen, the individual items used to assess goal strivings, and sociodemographic characteristics of the sample under study. For example, performance-approach goal scales coded as having a majority of normatively referenced items had a positive correlation with performance outcomes (r = .14), whereas scales with a majority of appearance and evaluative items had a negative relationship (r = -.14). Mastery-approach goal scales that contained goal-relevant language were not significantly related to performance outcomes (r = .05), whereas those that did not contain goal-relevant language had a positive relationship with performance outcomes (r = .14). We concluded that achievement goal researchers are using the same label for conceptually different constructs. This discrepancy between conceptual and operational definitions and the absence of goal-relevant language in achievement goal measures may be preventing productive theory testing, research synthesis, and practical application.


Educational Psychologist | 2011

Achievement Goal Theory at the Crossroads: Old Controversies, Current Challenges, and New Directions

Corwin Senko; Chris S. Hulleman; Judith M. Harackiewicz

Achievement goal theory has been one of the most prominent theories of motivation in educational research for more than 25 years. It has undergone considerable revision during that span, most notably with the distinction between approach and avoidance goals, debate concerning the critical features of performance goals, and the emergence of a multiple goal perspective that emphasizes the positive potential of performance-approach goals alongside mastery goals. This multiple goal perspective has met several criticisms from theorists taking the traditional perspective that emphasizes mastery goals over performance goals. We review these criticisms and the ongoing debate in light of the relevant research. We then spotlight two areas for future research, with the aim of advancing theory development and bridging these perspectives.


Science | 2009

Promoting Interest and Performance in High School Science Classes

Chris S. Hulleman; Judith M. Harackiewicz

For the Love of Science Which is a better predictor of a students continued participation in science, facile understanding or personal interest? Hulleman and Harackiewicz (p. 1410) designed an experiment to find out what drives high-school students. First-year high-school students were asked either to write about what they had just learned or about how what they had just learned connected to some facet of their personal lives. Connections of personal relevance were stronger than good grades for predicting interest in further science courses and future science careers. This low-cost intervention seemed to have its largest effect on students who began the class with the least amount of confidence in their abilities. Spotlighting curriculum relevance improves high school outcomes. We tested whether classroom activities that encourage students to connect course materials to their lives will increase student motivation and learning. We hypothesized that this effect will be stronger for students who have low expectations of success. In a randomized field experiment with high school students, we found that a relevance intervention, which encouraged students to make connections between their lives and what they were learning in their science courses, increased interest in science and course grades for students with low success expectations. The results have implications for the development of science curricula and theories of motivation.


Journal of Educational Psychology | 2008

Task values, achievement goals, and interest: An integrative analysis

Chris S. Hulleman; Amanda M. Durik; Shaun B. Schweigert; Judith M. Harackiewicz

The research presented in this article integrates 3 theoretical perspectives in the field of motivation: expectancy-value, achievement goals, and interest. The authors examined the antecedents (initial interest, achievement goals) and consequences (interest, performance) of task value judgments in 2 learning contexts: a college classroom and a high school sports camp. The pattern of findings was consistent across both learning contexts. Initial interest and mastery goals predicted subsequent interest, and task values mediated these relationships. Performance-approach goals and utility value predicted actual performance as indexed by final course grade (classroom) and coach ratings of performance (sports camp). Implications for theories of motivation are discussed.


Psychological Science | 2012

Helping Parents to Motivate Adolescents in Mathematics and Science An Experimental Test of a Utility-Value Intervention

Judith M. Harackiewicz; Christopher S. Rozek; Chris S. Hulleman; Janet Shibley Hyde

The pipeline toward careers in science, technology, engineering, and mathematics (STEM) begins to leak in high school, when some students choose not to take advanced mathematics and science courses. We conducted a field experiment testing whether a theory-based intervention that was designed to help parents convey the importance of mathematics and science courses to their high school–aged children would lead them to take more mathematics and science courses in high school. The three-part intervention consisted of two brochures mailed to parents and a Web site, all highlighting the usefulness of STEM courses. This relatively simple intervention led students whose parents were in the experimental group to take, on average, nearly one semester more of science and mathematics in the last 2 years of high school, compared with the control group. Parents are an untapped resource for increasing STEM motivation in adolescents, and the results demonstrate that motivational theory can be applied to this important pipeline problem.


Journal of Behavioral Health Services & Research | 2012

A Procedure for Assessing Intervention Fidelity in Experiments Testing Educational and Behavioral Interventions

Michael Nelson; David S. Cordray; Chris S. Hulleman; Catherine L. Darrow; Evan C. Sommer

An interventions effectiveness is judged by whether it produces positive outcomes for participants, with the randomized experiment being the gold standard for determining intervention effects. However, the intervention-as-implemented in an experiment frequently differs from the intervention-as-designed, making it unclear whether unfavorable results are due to an ineffective intervention model or the failure to implement the model fully. It is therefore vital to accurately and systematically assess intervention fidelity and, where possible, incorporate fidelity data in the analysis of outcomes. This paper elaborates a five-step procedure for systematically assessing intervention fidelity in the context of randomized controlled trials (RCTs), describes the advantages of assessing fidelity with this approach, and uses examples to illustrate how this procedure can be applied.


Review of Educational Research | 2016

Motivation Interventions in Education A Meta-Analytic Review

Rory A. Lazowski; Chris S. Hulleman

This meta-analysis provides an extensive and organized summary of intervention studies in education that are grounded in motivation theory. We identified 74 published and unpublished papers that experimentally manipulated an independent variable and measured an authentic educational outcome within an ecologically valid educational context. Our analyses included 92 independent effect sizes with 38,377 participants. Our results indicated that interventions were generally effective, with an average mean effect size of d = 0.49 (95% confidence interval = [0.43, 0.56]). Although there were descriptive differences in the effect sizes across several moderator variables considered in our analyses, the only significant difference found was for the type of experimental design, with randomized designs having smaller effect sizes than quasi-experimental designs. This work illustrates the extent to which interventions and accompanying theories have been tested via experimental methods and provides information about appropriate next steps in developing and testing effective motivation interventions in education.


European Journal of Psychology of Education | 2009

Too complex for me! Why do performance-approach and performance-avoidance goals predict exam performance?

Céline Darnon; Fabrizio Butera; Gabriel Mugny; Alain Quiamzade; Chris S. Hulleman

Classroom research on achievement goals has revealed that performance-approach goals (goals to outperform others) positively predict exam performance whereas performance-avoidance goals (goals not to perform more poorly than others) negatively predict it. Because prior classroom research has primarily utilized multiple-choice exam performance, the first aim of the present study was to extend these findings to a different measure of exam performance (oral examination). The second aim of this research was to test the mediating role of perceived difficulty. Participants were 49 4th year psychology students of the University of Geneva. Participants answered a questionnaire assessing their level of performance-approach and performance-avoidance goal endorsement in one of their classes as well as the perceived difficulty of this class for themselves. Results indicated that performance-approach goals significantly and positively predicted exam grades. Performance-avoidance goals significantly and negatively predicted grades. Both of these relationships were mediated by the perceived difficulty of the class for oneself. Thus, the links previously observed between performance goals and exam performance were replicated on an oral exam. Perceived difficulty is discussed as a key dimension responsible for these findings.RésuméLes recherches sur les buts d’accomplissement ont montré que les buts de performance-approche (réussir mieux que les autres) prédisent positivement la performance alors que les buts de performanceévitement (ne pas réussir moins bien que les autres) la prédisent négativement. Celles-ci ayant principalement utilisé des examens à choix multiples, le premier objectif de la présente étude était d’étendre ces résultats à une mesure différente de performance (examen oral). Le second objectif de cette recherche était de tester le rôle médiateur de la difficulté perçue. Les participants étaient 49 étudiants de 4ème année de psychologie de l’Université de Genève. Les participants ont répondu à un questionnaire mesurant leur niveau de buts de performance-approche et performance-évitement dans l’une de leur classe, ainsi que leur perception du niveau de difficulté de cette classe. Les résultats indiquent que les buts de performance-approche prédisent de manière significative et positive la note obtenue à l’examen. Les buts de performance-évitement la prédisent négativement. Ces deux relations sont médiatisées par la difficulté perçue de la tache pour soi. Ainsi, les liens obtenus au préalable entre buts de performance et performance à l’examen sont répliqués sur un examen oral. La difficulté perçue est discutée comme la dimension clé responsable de ces liens.


International Encyclopedia of the Social & Behavioral Sciences (Second Edition) | 2015

Expectancy-Value-Cost Model of Motivation

Kenneth E. Barron; Chris S. Hulleman

Abstract Expectancy-Value models recognize the important role of two components in promoting overall motivation: having an expectancy of being successful in a task and having a value for engaging in the task. In this article, we highlight the additional role that the cost of engaging in an activity plays in influencing motivation and propose a revised Expectancy-Value-Cost model of motivation. Because cost has been less researched and written about, we pay particular attention to its past, present, and future role in an overall model of motivation.


American Journal of Evaluation | 2015

Using Indices of Fidelity to Intervention Core Components to Identify Program Active Ingredients.

Tashia Abry; Chris S. Hulleman; Sara E. Rimm-Kaufman

Identifying the active ingredients of an intervention—intervention-specific components serving as key levers of change—is crucial for unpacking the intervention black box. Measures of intervention fidelity can be used to identify specific active ingredients, yet such applications are rare. We illustrate how fidelity measures can be used to identify program active ingredients in the context of a social-emotional learning intervention (Responsive Classroom). We applied one customary and two novel approaches to create indices of fidelity. In the customary approach, we averaged fidelity ratings across all core components. In the novel approaches, we computed fidelity indices for specific components by (a) averaging responses from like items and (b) deriving factor scores from a multitrait, multimethod factor analysis. We then tested indices in relation to achievement gains (N = 1,442). Indices derived using novel approaches explained more outcome variance than indices from the customary approach. Further, novel approaches revealed one component as a potential active ingredient. Discussion highlights strengths and limitations of the indices and implications for identifying program active ingredients.

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Judith M. Harackiewicz

University of Wisconsin-Madison

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Janet Shibley Hyde

University of Wisconsin-Madison

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Corwin Senko

State University of New York System

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