Probing for the Multiplicative Term in Modern Expectancy-Value Theory: A Latent Interaction Modeling Study.

In modern expectancy--value theory (EVT) in educational psychology, expectancy and value beliefs additively predict performance, persistence, and task choice. In contrast to earlier formulations of EVT, the multiplicative term Expectancy × Value in regression-type models typically plays no major role in educational psychology. The present study used latent moderated structural equation modeling to explore whether there is empirical support for a multiplicative effect in a sample of 2,508 students at the end of secondary education. Expectancy and four facets of value beliefs (attainment, intrinsic, and utility value as well as cost) predicted achievement when entered separately into a regression equation. Moreover, in models with both expectancy and value beliefs as predictor variables, the expectancy component as well as the multiplicative term Expectancy × Value were consistently found to predict achievement positively.

[1]  Thomas Brox,et al.  Maximum Likelihood Estimation , 2019, Time Series Analysis.

[2]  Moritz Heene,et al.  Masking misfit in confirmatory factor analysis by increasing unique variances: a cautionary note on the usefulness of cutoff values of fit indices. , 2011, Psychological methods.

[3]  Ulrich Trautwein,et al.  Who took the "x" out of expectancy-value theory? A psychological mystery, a substantive-methodological synergy, and a cross-national generalization. , 2011, Psychological science.

[4]  Dieter Zapf,et al.  Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects , 2011 .

[5]  K. Fiedler Voodoo Correlations Are Everywhere—Not Only in Neuroscience , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[6]  Iris Marušić,et al.  Expectancy-value Theory of Motivation and the Choice of Teaching as a Career , 2011 .

[7]  Andreas G. Klein,et al.  Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM , 2010 .

[8]  U. Trautwein,et al.  Voruniversitäre Mathematikleistungen vor und nach der Neuordnung der gymnasialen Oberstufe in Baden-Württemberg , 2010 .

[9]  Ulrich Trautwein,et al.  Schulleistungen von Abiturienten: Die neu geordnete gymnasiale Oberstufe auf dem Prüfstand , 2010 .

[10]  J. Tangney,et al.  Social psychological foundations of clinical psychology , 2010 .

[11]  Gabriele Oettingen,et al.  Strategies of setting and implementing goals: Mental contrasting and implementation intentions , 2010 .

[12]  Ulrich Trautwein,et al.  Different forces, same consequence: conscientiousness and competence beliefs are independent predictors of academic effort and achievement. , 2009, Journal of personality and social psychology.

[13]  Allan Wigfield,et al.  Expectancy-Value Theory , 2009 .

[14]  Allan Wigfield,et al.  Handbook of motivation at school , 2009 .

[15]  P. Gollwitzer,et al.  Making goal pursuit effective : Expectancy-dependent goal setting and planned goal striving , 2009 .

[16]  Ab Mooijaart,et al.  On Insensitivity of the Chi-Square Model Test to Nonlinear Misspecification in Structural Equation Models , 2008 .

[17]  Ulrich Trautwein,et al.  What makes lessons interesting?: The role of situational and individual factors in three school subjects , 2008 .

[18]  K. Bollen,et al.  An Empirical Evaluation of the Use of Fixed Cutoff Points in RMSEA Test Statistic in Structural Equation Models , 2008, Sociological methods & research.

[19]  Ulrich Trautwein,et al.  Gendered high school course selection as a precursor of gendered careers : The mediating role of self-concept and intrinsic value , 2008 .

[20]  Jacquelynne S. Eccles,et al.  Gender and Occupational Outcomes. Longitudinal Assessments of Individual, Social, and Cultural Influences , 2008 .

[21]  Pui-Wa Lei,et al.  Evaluating estimation methods for ordinal data in structural equation modeling , 2009 .

[22]  Herbert W. Marsh,et al.  Do university teachers become more effective with experience? A multilevel growth model of students' evaluations of teaching over 13 years. , 2007 .

[23]  Jacquelynne S. Eccles,et al.  Development of achievement motivation. , 2007 .

[24]  Ulrich Trautwein,et al.  Students' Self-Reported Effort and Time on Homework in Six School Subjects: Between-Students Differences and Within-Student Variation. , 2007 .

[25]  Jacquelynne S Eccles,et al.  I like to do it, I'm able, and I know I am: longitudinal couplings between domain-specific achievement, self-concept, and interest. , 2007, Child development.

[26]  J. Harackiewicz,et al.  American Educational Research Association Motivating the Academically Unmotivated : A Critical Issue for the 21 st Century Author ( s ) : , 2007 .

[27]  H. Marsh,et al.  Tracking, grading, and student motivation : Using group composition and status to predict self-concept and interest in ninth-grade mathematics , 2006 .

[28]  Ulrich Trautwein,et al.  Effort on homework in grades 5-9: development, motivational antecedents, and the association with effort on classwork. , 2006, Child development.

[29]  Ulrich Trautwein,et al.  Predicting Homework Effort: Support for a Domain-Specific, Multilevel Homework Model. , 2006 .

[30]  André Beauducel,et al.  On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA , 2006 .

[31]  U. Trautwein,et al.  Entwicklung eines Instruments zur Erfassung des Selbstkonzepts junger Erwachsener , 2005 .

[32]  Ulrich Trautwein,et al.  Academic self-concept, interest, grades, and standardized test scores: reciprocal effects models of causal ordering. , 2005, Child development.

[33]  Craig K. Enders,et al.  Missing Data in Educational Research: A Review of Reporting Practices and Suggestions for Improvement , 2004 .

[34]  B. Muthén,et al.  Applying Multigroup Confirmatory Factor Models for Continuous Outcomes to Likert Scale Data Complicates Meaningful Group Comparisons , 2004 .

[35]  H. Marsh,et al.  In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings , 2004 .

[36]  O. Köller,et al.  Wege zur Hochschulreife in Baden-Württemberg: TOSCA - eine Untersuchung an allgemein bildenden und beruflichen Gymnasien , 2004 .

[37]  O. Köller,et al.  Englischleistungen von Schülerinnen und Schülern an allgemein bildenden und beruflichen Gymnasien , 2004 .

[38]  David A. Wood,et al.  What a performance , 2004 .

[39]  Andreas Krapp,et al.  Structural and Dynamic Aspects of Interest Development: Theoretical Considerations from an Ontogenetic Perspective. , 2002 .

[40]  J. Schafer,et al.  Missing data: our view of the state of the art. , 2002, Psychological methods.

[41]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[42]  J. Eccles,et al.  Motivational beliefs, values, and goals. , 2002, Annual review of psychology.

[43]  J. Eccles,et al.  The Development of Competence Beliefs, Expectancies for Success, and Achievement Values from Childhood through Adolescence , 2002 .

[44]  Franz J. Neyer,et al.  Personality-Relationship transaction in young adulthood. , 2001, Journal of personality and social psychology.

[45]  Mimi Bong,et al.  Between- and Within-Domain Relations of Academic Motivation Among Middle and High School Students: Self-Efficacy, Task-Value, and Achievement Goals , 2001 .

[46]  Helfried Moosbrugger,et al.  Maximum likelihood estimation of latent interaction effects with the LMS method , 2000 .

[47]  J. Harackiewicz,et al.  Motivating the Academically Unmotivated: A Critical Issue for the 21st Century , 2000 .

[48]  J. Eccles,et al.  Expectancy-Value Theory of Achievement Motivation. , 2000, Contemporary educational psychology.

[49]  Wilfried Bos,et al.  TIMSS/III Dritte Internationale Mathematik- und Naturwissenschaftsstudie — Mathematische und naturwissenschaftliche Bildung am Ende der Schullaufbahn , 2000 .

[50]  Richard E. Clark,et al.  Comparison between self-concept and self-efficacy in academic motivation research , 1999 .

[51]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[52]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[53]  Margaret Wu,et al.  ACER conquest: generalised item response modelling software , 1998 .

[54]  Phyllis C. Blumenfeld,et al.  Change in Children's Competence Beliefs and Subjective Task Values across the Elementary School Years: A 3-Year Study. , 1997 .

[55]  Frank M. Pajares,et al.  Self-Efficacy Beliefs in Academic Settings , 1996 .

[56]  Jacquelynne S. Eccles,et al.  Development between the ages of 11 and 25. , 1996 .

[57]  Fan Yang,et al.  Nonlinear structural equation models: The Kenny-Judd model with Interaction effects , 1996 .

[58]  H. Marsh,et al.  An evaluation of incremental fit indices: A clarification of mathematical and empirical properties. , 1996 .

[59]  Donald R. Bacon,et al.  Composite Reliability in Structural Equations Modeling , 1995 .

[60]  Conor V. Dolan,et al.  Factor analysis of variables with 2, 3, 5, and 7 response categories: A comparison of categorical variable estimators using simulated data , 1994 .

[61]  C. Judd,et al.  Statistical difficulties of detecting interactions and moderator effects. , 1993, Psychological bulletin.

[62]  J. Sinacore Multiple regression: Testing and interpreting interactions , 1993 .

[63]  J. Eccles,et al.  Age and gender differences in children's self- and task perceptions during elementary school. , 1993, Child development.

[64]  J. Eccles,et al.  The development of achievement task values: A theoretical analysis , 1992 .

[65]  Deborah A. Prentice,et al.  When small effects are impressive , 1992 .

[66]  S. West,et al.  Multiple Regression: Testing and Interpreting Interactions , 1991 .

[67]  Jacquelynne S. Eccles,et al.  Predictors of math anxiety and its influence on young adolescents' course enrollment intentions and performance in mathematics , 1990 .

[68]  R. P. McDonald,et al.  Structural Equations with Latent Variables , 1989 .

[69]  N. Feather,et al.  Values, valences, and course enrollment: Testing the role of personal values within an expectancy-valence framework. , 1988 .

[70]  R. P. McDonald,et al.  Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size , 1988 .

[71]  H. Marsh Verbal and Math Self-Concepts: An Internal/External Frame of Reference Model , 1986 .

[72]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[73]  Herbert W. Marsh,et al.  Self Description Questionnaire III: The construct validity of multidimensional self-concept ratings by late adolescents. , 1984 .

[74]  J. Spence,et al.  Achievement and achievement motives : psychological and sociological approaches , 1984 .

[75]  J. Meece,et al.  Sex differences in achievement: A test of alternate theories. , 1984 .

[76]  L. E. Jones,et al.  Analysis of multiplicative combination rules when the causal variables are measured with error. , 1983 .

[77]  J. Eccles Expectancies, values and academic behaviors , 1983 .

[78]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[79]  N. Feather,et al.  Subjective probability and decision under uncertainty. , 1959, Psychological review.

[80]  J. W. Atkinson Motivational determinants of risk-taking behavior. , 1957, Psychological review.