Students' engagement, persistence, and academic achievement have been explained by two different academic goal orientations of task involvement and ego orientation, which in turn were related to students' implicit entity or incremental theories of ability (Dweck, 2000; Dweck & Leggett, 1988). Task involvement goals have been distinguished from ego oriented goals in terms of students' conceptions of success, different reactions for approaching and engaging in achievement activity, and different ways of thinking about the self, the task and the task outcomes (Ames, 1992; Nicholls, Cheung, Lauer & Patashnick, 1989). Through factor analytic studies these two orientations have been determined as independent dimensions of both personal academic goals and beliefs about the causes of school success (Nicholls et al., 1989; Nicholls, Cobb, Wood, Yackel & Patashnick, 1990).
Goal theory researchers have suggested that task involvement and ego orientation goals were orthogonal to each other rather than simply ends of a continuum (Maehr & Pintrich, 1991; Meece & Holt, 1993; Miller et al., 1993; Nicholls & Thorkildsen, 1989; Roedel, Schraw & Plake, 1994). Four dichotomous goal configurations were thus possible, as any given student may be high on both task involvement and ego orientation dimensions, low in both or high in one and low on the other (Schraw, Horn, Thorndike-Christ & Bruning, 1995). In addition, the two goal orientations have been found to be independent of actual and perceived ability (Nicholls et al., 1990). Task involvement and ego orientation were not necessarily fixed characteristics, as they have been influenced by conditions in school environments (Ames, 1992). Dweck (1986, 1989) suggested that the nature of achievement goal orientation changed in relation to subject-matter areas, but Duda and Nicholls (1992) found that high school students' causal explanations of success generalised across subject areas.
As task involved students held an incremental view of ability, they sought to improve their competence by increasing their knowledge and understanding irrespective of the performance conditions (Dweck, 2000). Ames (1992) postulated that effort and outcome covaried within a task involvement goal, with this attributional pattern leading to stronger achievement directed behaviour over time. Students' attention was more likely to be focussed on the intrinsic value of learning (Nicholls, 1984; Butler, 1988; Meece & Holt, 1990), and on effort utilisation, with the belief that effort led to success and that mastery was intrinsic to self-efficacy. Task involved students were oriented towards the development of new skills, to understand their work, to improve their level of competence or to achieve a sense of mastery based on self referenced standards (Dweck, 2000). Within this mental frame, students perceived ability as being incremental and improvable and were more confident in expending or investing effort (Schunk, 1996).
By contrast, ego orientation goals entailed a focus upon ability as a fixed attribute which determined a sense of self-worth (Covington, 1984; Dweck, 1986; Nicholls, 1984). Ego oriented students were motivated by a desire to do better than others, to demonstrate their competence publicly or to achieve success with little effort (Ames, 1992; Covington, 1984; Schraw et al., 1995). Learning was viewed as a way to achieve this desired goal, with attention being directed towards achieving normatively defined success (Dweck, 2000). Effort became a double-edged sword as the self concept could be threatened if trying did not lead to immediate success (Covington & Omelich, 1979b). Over time, effort could be seen as counterproductive, with increased effort interpreted as an indication of lack of ability.
Differences between ego oriented and task involved students have been found in the amount of time students spent on learning tasks, persistence in the face of difficulty, quality of engagement in learning, and use of adaptive mental strategies (Butler, 1987; Elliott & Dweck, 1988; Meece Blumenfeld & Hoyle, 1988; Nolen, 1988; Nolen & Haladyna, 1990; Graham & Golan, 1991). Students' endorsement of task involvement learning goals have resulted in adaptive behavioural responses including strategy shifting, increased effort, reanalysing a problem and persistence in the face of difficulty (Meece & Holt, 1993; Pintrich & De Groot, 1990). Students who endorsed ego orientation goals have been found to be more likely to exhibit maladaptive learning behaviours including low task engagement, less persistence, and the adoption of some helpless responses(Ames & Archer, 1988; Elliott & Dweck, 1988; Meece, et al., 1988). Task involved students have responded to impending failure by remaining task focussed (Dweck & Leggett, 1988), while ego oriented students chose simpler tasks, used inefficient strategies, or adopted an attitude of academic alienation so as to preserve their self image (Dweck & Leggett, 1988).
Clearly then, the adoption of task involvement goals could be expected to lead to long term achievement motivation in students. However, the extent to which this source of achievement motivation is related to actual achievement has not been defined clearly within the existing literature. Furthermore, while achievement in mathematics has been in examined in relation to school-type factors, curriculum considerations, gender differences, student characteristics and background, students' goal oriented beliefs have received little consideration (Bong, 1996). In an earlier report task and ego goal orientation measures did not correlate significantly with concurrently measured achievement in a sample of primary school children (Yates, Yates & Lippett, 1995). The present study was therefore undertaken to investigate the nature of the relationship between measures of task involvement and ego orientation in primary and lower secondary school aged students and their achievement in mathematics over a period of almost three years.
Your Feelings in Mathematics: A Questionnaire
Task involvement and ego orientation goals in mathematics were measured with Your Feelings in Mathematics: A Questionnaire, a variant of the Motivation Orientation Scales (Nicholls et al., 1990; Duda & Nicholls, 1992). The questionnaire was composed of 25 items which commenced with the stem "Do you really feel pleased in maths when ..." followed by a statement reflecting either task involvement or ego orientation, with some filler items in random order. Students rated each statement on a five point scale ranging from strongly agree to strongly disagree.
Administration of test and questionnaire
The PATMaths were administered to intact classes in Term 1, 1993 by school personnel in one primary school and by a male researcher in the second. Your Feelings in Mathematics: A Questionnaire was administered to intact classes in both schools by a male researcher. When the students were traced in Term 4, 1995, the test and the questionnaire were administered by either a male or female researcher. PATMaths Test 1, 2 or 3 (Form A) was administered in accordance with the timed standardised procedures specified in the Teachers Handbook (ACER, 1984). The level of the test that was most appropriate for the grade level of the student was chosen, with Test 2 administered to all students in Years 6 and 7, and all Year 9 taking Test 3. Students recorded their responses in pencil on an ACER computer scoring response sheet.
Correlations between mean achievement scores, Grade level, and gender were determined for both 1993 and 1995 (see Table 1 and Figure 1). The significant relationship between Grade level and achievement in both 1993 and 1995 was confirmed with one way analysis of variance, but there was no significant relationship between gender and mathematics achievement(see Table 2). The predictive relationship between achievement in 1993 and 1995 was substantiated with multiple regression using direct entry of the variables, although the Grade level and gender variables were not significant (see Table 3).
1993 | Gender | n | Mean | SD | 1995 | Mean | SD |
Grade 3 | Combined Male Female | 18 10 8 |
37.89 38.70 36.88 | 4.15 4.00 4.39 |
Grade 5 | 48.11 49.40 46.50 | 3.38 3.86 1.77 |
Grade 4 | Combined Male Female | 62 34 28 |
44.31 43.94 44.75 | 5.05 5.65 4.26 |
Grade 6 | 52.94 53.42 52.36 | 5.52 5.93 5.01 |
Grade 5 | Combined Male Female | 43 22 21 |
51.30 52.36 50.19 | 6.24 5.91 6.53 |
Grade 7 | 54.86 55.82 53.86 | 5.80 5.68 5.89 |
Grade 6 | Combined Male Female | 66 38 28 |
50.18 50.29 50.04 | 4.37 4.22 4.64 |
Grade 8 | 57.67 57.23 58.30 | 4.66 4.91 4.29 |
Grade 7 | Combined Male Female | 54 30 24 |
53.33 53.53 53.08 | 4.44 4.14 4.88 |
Grade 9 | 56.81 57.79 56.84 | 4.22 4.63 3.78 |
Total | Combined Male Female | 243 134 109 |
48.68 48.88 48.41 | 6.64 6.68 6.60 |
Total | 55.07 55.34 54.72 | 5.60 5.60 5.59 |
![]() |
Figure 1: Mean achievement in mathematics by Grade level and gender
Table 2: Analysis of variance: Mathematics achievement in 1993 and 1995
by Grade level and gender
Source N = 243 |
Sum of Squares | DF | Mean Squares | F | Sig. F |
1993 Mathematics Achievement | |||||
1993 Grade level | 4837.11 | 4 | 1209.28 | 49.46 | 0.000 |
Gender | 29.13 | 1 | 29.13 | 1.19 | NS |
Interaction | 65.18 | 4 | 16.30 | 0.67 | NS |
Residual | 5696.52 | 233 | 24.45 | ||
Total | 10671.66 | 242 | 44.10 | ||
1995 Mathematics Achievement | |||||
1995 Grade level | 1817.89 | 4 | 454.47 | 18.54 | 0.000 |
Gender | 44.85 | 1 | 44.85 | 1.83 | NS |
Interaction | 89.13 | 4 | 2.28 | 0.91 | NS |
Residual | 5711.81 | 233 | 24.51 | ||
Total | 7584.95 | 242 | 31.34 | ||
NS = Not Significant |
Table 3: Regression analysis: Predicting mathematics achievement in 1995 by
1993 mathematics achievement, Grade level and gender
1995 Mathematics Achievement Variables N = 243 | r | Beta | t | Significance of t |
1993 Mathematics achievement | 0.74 | 0.75 | 13.54 | 0.000 |
1993 Grade level | 0.43 | -0.04 | -0.63 | NS |
Gender | -0.06 | -0.03 | 0.70 | NS |
Multiple R = 0.74 R square = 0.54 NS = Not Significant |
F = 93.73 Significance of F = 0.000 |
Task Involvement in Mathematics
The 15 items that composed the task involvement scale were Rasch analysed using the data from the 1993 administration of the scale to 328 subjects from Grades 3 to 7 (see Table 4). Items 16, 20 and 21 were deleted as their infit mean squares were outside the acceptable range of 0.83 to 1.20. Scores for each student were then calculated on the basis of the 12 items in the final scale, with the case estimates derived from the concurrent equating method. The raw scores for 1993 and 1995 were initially pooled, the case estimates determined from the 486 cases and the estimated scores calculated for each subject for the two occasions. Concurrent methods have been found to yield stronger estimates than equating based on common item difference or anchor item equating procedures (Morrison & Fitzpatrick, 1992; Mohandas, 1996).
n = 328 | First analysis | Final analysis | |||
Item No | Do you really feel pleased in maths when... | Infit mean square | Discrim. index | Infit mean square | Discrim. index |
1 | you really get busy with the work | 1.06 | 0.55 | 1.12 | 0.54 |
3 | you really understand things | 0.97 | 0.51 | 0.94 | 0.54 |
5 | you learn new things about mathematics | 1.06 | 0.52 | 1.04 | 0.56 |
6 | what the teacher says makes you think hard | 0.94 | 0.66 | 0.96 | 0.66 |
9 | the problems make you think hard | 0.96 | 0.66 | 1.03 | 0.66 |
10 | you are making good progress in learning difficult things | 1.04 | 0.52 | 1.03 | 0.55 |
13 | you find a new way to solve a problem | 1.02 | 0.52 | 1.02 | 0.54 |
15 | something you learn makes you want to find out more | 0.95 | 0.62 | 1.02 | 0.62 |
16 | you solve a problem by working hard | 0.73 | 0.70 | Deleted | |
17 | something you find out really makes sense | 1.01 | 0.55 | 1.00 | 0.55 |
18 | you work hard all the time | 0.92 | 0.63 | 0.94 | 0.65 |
20 | the teacher looks at your work | 1.16 | 0.53 | Deleted | |
21 | the teacher says its time for a test | 1.32 | 0.52 | Deleted | |
22 | you try your hardest | 0.91 | 0.58 | 0.90 | 0.61 |
24 | the teacher says you are doing excellent work | 0.95 | 0.46 | 0.93 | 0.48 |
Ego Orientation in Mathematics
The six item ego orientation in mathematics scale was analysed with the Rasch procedure using the 1993 data from 328 subjects from Grades 3 to 7. Item 14 was deleted as it did not fit the scale (see Table 5). Estimate scores for each student were then calculated on the basis of the remaining five items, with the case estimates being derived from the concurrent equating of the pooled 1993 and 1995 scores.
Stability of the achievement, task involvement and ego orientation measures
The consistency of relative performance in mathematics was calculated with the intraclass correlation (rho = 0.36) and interclass correlation (r = 0.73). When the stability of task involvement and ego orientation between 1993 and 1995 was measured with intraclass and interclass correlations, it was evident that while neither measure was particularly stable, the task involvement scale was more robust over time (see Table 6).
n = 328 | First analysis | Final analysis | |||
Item No | Do you really feel pleased in maths when... | Infit mean square | Discrim. index | Infit mean square | Discrim. index |
4 | you know more than the others | 0.91 | 0.75 | 0.94 | 0.79 |
8 | you do better than the other children | 0.85 | 0.77 | 0.88 | 0.80 |
12 | you are the only one who can answer a question | 1.05 | 0.70 | 1.11 | 0.73 |
14 | you can see others making mistakes | 1.49 | 0.59 | Deleted | |
19 | you finish before your friends | 1.03 | 0.74 | 1.17 | 0.75 |
23 | you score better on the test than others | 0.81 | 0.77 | 0.89 | 0.79 |
Table 6: Intraclass (rho) and interclass (r) correlations between the 1993 and 1995 measures of the Progressive Achievement Tests in Mathematics, Task involvement in Mathematics and Ego orientation in Mathematics.
N = 243 | rho | r |
Progressive Achievement Tests in Mathematics | 0.36 | 0.73 |
Task involvement in Mathematics | 0.32 | 0.34 |
Ego orientation in Mathematics | 0.18 | 0.20 |
The relationship between mathematics achievement and goal orientation in 1993 with achievement in and goal orientation in mathematics in 1995
The relationships between the measures of achievement and attitudes to mathematics in 1993 were examined by bivariate correlations (see Table 7), and by multiple regression (see Tables 8 and 9). There was a weak correlation between mathematics achievement and task involvement for both 1993 and 1995. There were also significant relationships between task involvement and ego orientation for both years. With direct entry multiple regression for both 1993 and 1995 mathematics achievement was most strongly predicted by prior performance in 1993, but neither task involvement nor ego orientation measured in 1993 significantly added to the prediction of achievement in 1995 (see Table 8).
n = 243 | 2 | 3 | 4 | 5 | 6 |
1 1993 Maths achievement | 0.74*** | 0.13* | ns | ns | ns |
2 1995 Maths achievement | 0.18** | 0.13* | ns | ns | |
3 1993 Task involvement | 0.39*** | ns | ns | ||
4 1995 Task involvement | 0.27*** | 0.26*** | |||
5 1993 Ego orientation | 0.20** | ||||
6 1995 Ego orientation | - | ||||
* p <.05, ** p <.01, *** p <.001 , ns correlation not significant |
Table 8: Regression analysis: Predicting mathematics achievement in 1995 by mathematics achievement, task involvement and ego orientation in 1993
1995 Mathematics achievement N = 243 |
r | Beta | t | Significance of t |
1993 Mathematics achievement | 0.73 | 0.73 | 16.39 | 0.00 |
1993 Task involvement | 0.18 | 0.08 | 1.78 | NS |
1993 Ego orientation | -0.03 | 0.02 | 0.51 | NS |
Multiple R = 0.74 R square = 0.55 |
F = 96.04 Significance of F = 0.000 |
Table 9: Regression analysis: Predicting task involvement and ego
orientation in 1995 by achievement in mathematics, task involvement and ego orientation in 1993
1995 Mathematics achievement N = 243 |
r | Beta | t | Significance of t |
1993 Mathematics achievement | 0.04 | 0.02 | 0.39 | NS |
1993 Task involvement | 0.34 | 0.29 | 4.68 | 0.000 |
1993 Ego orientation | 0.27 | 0.20 | 3.30 | 0.000 |
Gender | 0.01 | 0.13 | NS | |
Multiple R = 0.39 R square = 0.15 |
F = 10.81 Significance of F = 0.000 | |||
1993 Mathematics achievement | -0.06 | -0.04 | -0.64 | NS |
1993 Task involvement | -0.02 | -0.06 | -0.87 | NS |
1993 Ego orientation | 0.20 | 0.19 | 2.93 | 0.003 |
Gender | -0.16 | -0.14 | -2.29 | 0.02 |
Multiple R = 0.25 R square = 0.06 |
F = 4.11 Significance of F = 0.003 |
The effects of the three measures in 1993 on both task involvement and ego orientation respectively in 1995 were then analysed by multiple regression (see Table 9). While there was no significant relationship between mathematics achievement and the two indices of goal orientation, there were interesting relationships between the measures of task involvement and ego orientation. Specifically, there was a significant relationship between task involvement and ego involvement in 1993 with task involvement in 1995, while ego orientation in 1995 was predicted by ego involvement in 1993 only.
Goal orientation data, in the form of task involvement and ego orientation questionnaire measures, failed to add to the prediction of achievement over time. Task involvement significantly correlated with achievement across both time phases, but failed to account for additional variance in the 1995 achievement data once the effect of prior achievement had been accounted for in the regression analysis. The notion that goal orientation measured by task involvement, would facilitate actual achievement gain across time was not supported. The second goal dimension of ego orientation similarly did not add to the prediction of achievement gain over time. In hindsight it was evident that the measure of ego orientation was inadequate, as it was based on only five items, and possessed a weak level of stability.
It should be noted that the two goal orientation measures used in this project were based on a trait theory assumption: that it was possible to assess goal orientations at one point in time in order to tap into enduring dispositions. This assumption was supported by other research using similar measures (see Ames, 1992), but it should be recognised that many of the researchers in the goal theory tradition have regarded the goal dimensions as situationally induced states. The extent to which students can be meaningfully assigned to dispositional categories such as "ego oriented" and "task involved" is unknown.
In a further set of analyses, not reported above, quartile splits were used on the goal orientation measures to contrast students extremely high and low on the goal dimensions. In relation to achievement, none of these analyses was significant, thus paralleling the results reported above. Hence, overall, the current data suggest that it would be unwise to make predictions of future performance changes in achievement domains from simple questionnaire measures of dispositional goal orientation.
It certainly is possible, and very likely that goal orientation measures relate meaningfully to achievement gain, but uncovering the nature of this relationship will require designs and measures more complex that the ones used within this study. Past research been very productive in tracing relationships between goal orientation, achievement related indices, and other motivational variables. In the light of the existing literature it is possible that linkages between dispositional goal orientations and achievement gain could be mediated by environmental conditions such as classroom climate and perceived competitiveness which were not addressed in this study.
Ames, C. (1992). Classrooms: Goals, structure, and student motivation. Journal of Educational Psychology, 84, 261-271.
Ames, C., & Archer, J. (1987). Mothers' beliefs about the role of ability and effort in school learning. Journal of Educational Psychology, 79, 409-414.
Australian Council for Educational Research, (1984). The Progressive Achievement Tests in Mathematics. Melbourne: ACER.
Australian Council for Educational Research. (1984). The Progressive Achievement Tests in Mathematics Teachers Handbook. Melbourne: ACER.
Bong, M. (1996). Problems in academic motivation research and advantages and disadvantages of their solutions. Contemporary Educational Psychology, 21, 149-165.
Butler, R. (1987). Task-involving and ego-involving properties of evaluation: Effects of different feedback conditions on motivation, perceptions, interest, and performance. Journal of Educational Psychology, 79, 474-482.
Covington, M. V. (1984). The self-worth theory of achievement motivation: Findings and implications. Elementary School Journal, 85, 5-20.
Covington, M. V. & Omelich, C. L. (1979). Effort: The double-edged sword in school achievement. Journal of Educational Psychology, 71, 169-182.
Deci, E. L. & Ryan, R. M. (1991). A motivational approach to self. In R. A. Dienstbier (Ed.), Nebraska Symposium on Motivation 1990 (pp 149-1760. Hillsdale, NJ: Lawrence Erlbaum.
Duda, J. L. & Nicholls, J. G. (1992). Dimensions of academic motivation in schoolwork and sport. Journal of Educational Psychology, 84, 290-299.
Dweck, C. S. (1986). Motivational process affecting learning. American Psychologist, 41, 1040-1048.
Dweck, C. S. (1989). Motivation. In A. Lesgold, & R. Glaser (Eds.), Foundations for a psychology of education. Hillsdale, NJ: Erlbaum.
Dweck, C. S. (2000). Self theories: Their role in motivation, personality and development. Philadelphia: Taylor & Francis.
Dweck, C. S. & Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 95, 256-273.
Dweck, C. S. & Sorich, L. A. (1999). Mastery-oriented thinking. In C. R. Snyder (Ed.), Coping The psychology of what works. New York: Oxford University Press, 232-251.
Elliott, E. S. & Dweck, C. S. (1988). Goals: An approach to motivation and achievement. Journal of Personality and Social Psychology, 54, 5-12.
Graham, S. (1991). A review of attribution theory in achievement contexts. Educational Psychology Review, 3, 5-39.
Graham, S., & Golan, S. (1991). Motivational influences on cognition: Task involvement, ego orientation, and depth of information processing. Journal of Educational Psychology, 83, 187-194.
Keeves, J. P. (1972). Educational environment and student achievement. Melbourne: ACER.
Mahondas, R. (1996). Test equating, problems and solutions: Equating English test forms for the Indonesian Junior Secondary final examination administered in 1994. Unpublished MEd thesis. Flinders University of South Australia.
Meece, J. L., Blumenfeld, P. C., & Hoyle, R. (1988). Student's goal orientations and cognitive engagement in classroom activities. Journal of Educational Psychology, 80, 514-523.
Meece, J. L. & Holt, K. (1993). A pattern analysis of students' achievement goals. Journal of Educational Psychology, 85, 582-590.
Miller, R. B., Behrens, J. T., & Greene, B. (1993). Goals and perceived ability: Impact on student valuing, self-regulation, and persistence. Contemporary Educational Psychology, 18, 2-14.
Morrison, C. A. & Fitzpatrick, S. J. (1992). Direct and indirect equating: A comparison of four methods using the Rasch model. Measurement and Evaluation Center: The University of Texas at Austin. ERIC Document Reproduction Services No. ED 375152.
Nicholls J. G. (1984). Conceptions of ability and academic motivation. In R. Ames & C. Ames (Eds.), Research on motivation in education: Vol. 1. Student motivation. Orlando, Fl: Academic Press.
Nicholls, J. G., Cheung, P. C., Lauer, J., & Patashnick, M. (1989). Individual differences in academic motivation: Perceived ability, goals, beliefs, and values. Learning and Individual Differences, 1, 63-84.
Nicholls, J. G., Cobb, P., Wood,T., Yackel, E., & Patashnick, M. (1990). Assessing student's theories in mathematics: Individual and classroom differences. Journal for Research in Mathematics Education, 21, 109-122.
Nolen, S. B. (1988). Reasons for studying: motivational orientations and study strategies. Cognition and Instruction, 5, 269-287.
Nolen, S. B., & Haladyna, T. M. (1990). Motivation and studying in high school science. Journal of Research on Science Teaching, 27, 269-287.
Pintrich, P. R. & Garcia, T. (1991). Student goal orientations and self-regulation in the college classroom. In M. L. Maehr & P. R. Pintrich (Eds), Advances in motivation and achievement, vol 7 (pp 371-402). Greenwich, CT: JAI Press.
Schunk, D. H. (1996). Learning theories: An educational perspective. Englewood Cliffs, NJ: Merrill.
Yates, S. M., Yates, G. C. R., & Lippett, R. M. (1995). Explanatory style, ego-orientation and primary school mathematics. Educational Psychology, 15, 28-34.
Zimmerman, B. J. (1990). Self-regulated academic learning and achievement: The emergence of a social cognitive perspective. Educational Psychology Review, 2, 173-201.
Thanks are extended to Professor John Keeves for his kind patience, expert knowledge and encouragement throughout the project.
Thanks are also extended to the staff and students in the 50 schools without whom the study would not have been possible.
Author: Dr Shirley Yates, a senior lecturer in the School of Education at Flinders University, holds qualifications in Speech Pathology, Psychology and Education. Her research interests are centered around developmental and educational psychology. She is currently involved in longitudinal studies of co-education and school climate.
Please cite as: Yates, S. M. (2000). Task involvement and ego orientation in mathematics achievement: A three year follow-up. Issues in Educational Research, 10(1), 77-91. http://www.iier.org.au/iier10/yates.html |
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