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Original Articles

Structural Model of the Effects of Cognitive and Affective Factors on the Achievement of Arabic-Speaking Pre-service Teachers in Introductory Statistics

References

  • Adams, N. A., and Holcomb, W. R. (1986), “Analysis of the relationship between anxiety about mathematics and performance,” Psychological Reports, 59, 943–948.
  • Aiken, L. R. (1980), “Attitudes measurement research,” in Recent developments in affective measurement, ed. D. A. Payne, San Francisco: Jossey-Bass, pp. 1–24.
  • Anderson, J. C., and Gerbing, D. W. (1984), “The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis,” Psychometrica, 49, 155–173.
  • Auzmendi, E. (1991, April), “Factors related to attitudes toward statistics: A study with a Spanish sample,” paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL.
  • Bell, A. J. (1998), “International students have statistics anxiety too,” Education, 118, 634–636.
  • Bollen, A. K. (1989), Structural equations with latent variables, New York: Wiley.
  • Bollen, A. K., and Long, J, S. (1993), Testing structural equation models, Newbury Park, CA: Sage.
  • Broadbrooks, J. W., Elmore, B. P., Pederson, K., and Bleyer, R. D. (1981), “A construct validation study of the fennema-sherman mathematics attitudes scales,” Educational and Psychological Measurement, 41, 551–557.
  • Cohen, J. (1988), Statistical power analysis for the behavioral sciences (2nd ed.), Hillsdale, NJ: Erlbaum.
  • Colvin, S., and Vos, E. K. (1997), “Authentic assessment models for statistics education,” in The assessment challenges in statistics education, eds. I. Gal and J. B. Garfield, Amsterdam: IOS, pp. 27–36.
  • Cruise, J. R., Cash, R.W., and Bolton, L. D. (1985), “Development and validation of an instrument to measure statistical anxiety,” in Proceedings of the Section on Statistical Education, American Statistical Association, pp. 92–98.
  • Del Vecchio, A. (1995), “A psychological model of introductory statistics course completion,” paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
  • Fan, X., Thompson, B., and Wang, L. (1999), “The effects of sample size, estimation methods, and model specification on SEM fit indices,” Structural Equation Modeling, 6, 56–83.
  • Feinberg, F., and Halprin, S. (1978), “Affective and cognitive correlates of course performance in introductory statistics,” Journal of Experimental Education, 46, 11–18.
  • Fennema, L., and Sherman, J. A. (1976), “Fennema-Sherman mathematics attitude scales: Instruments designed to measure attitude toward the learning of mathematics by females and males,” Journal for Research in Mathematics Education, 7, 324–326.
  • Fidell, L., and T. Tabachnick, G. B. (2003), “Preparatory data analysis,” in Handbook of psychology: Research methods in psychology (Vol. 2), eds. A. J. Schinka and W. F. Velicer, New York, John Wiley & Sons, pp. 115–141.
  • Fontaine, M. A. (1991), “Impact of social context on the relationship between achievement motivation and anxiety, expectation or social conformity,” Personality and Individual Differences, 12, 457–466.
  • Gable, K. R. and Wolf, B. M. (1993), Instrument development in the affective domain (2nd ed.), Boston: Kluwer.
  • Gal, I., and Garfield, J. B., (1997), “Curricular goals and assessment challenges in statistics education,” in The assessment challenges in statistics education, eds. I. Gal and J. B. Garfield, Amsterdam: IOS, pp. 1–13.
  • Gal, L. B., and Ginsburg, L. (1994), “The rule of beliefs and attitude in learning statistics: Toward an assessment framework. Journal of Statistics Education [Online], 2(2). ww2.amstat.org/publications/jse/v2n2/gal.html
  • Gal, L. B., Ginsburg, L., and Schau, C. (1997), “Mentoring attitudes and beliefs in statistics education,” in The assessment challenges in statistics education, eds. I. Gal and J. B. Garfield, Amsterdam: IOS, pp. 37–51.
  • Galagedera, D. (1998), “Is remedial mathematics a real remedy? Evidence from learning statistics at tertiary level,” International Journal of Mathematics Education, Sciences and Technology, 29, 475–480.
  • Galagedera, D., Woodward, G., and Degamboda, S. (2000), “An investigation of how perceptions of mathematics ability can affect elementary statistics performance,” International Journal of Mathematics Education, Sciences and Technology, 31, 679–689.
  • Gerbing, D. W., and Anderson, J. C. (1985), “The effects of sampling error and model characteristics on parameter estimation for maximum likelihood confirmatory factor analysis”, Multivariate Behavioral Research, 20, 255–271.
  • Gerson, F. R. (1999), “The people side of performance improvement,” Performance Improvement, 38, 19–23.
  • Glencross, M. J., and Cherian, V. I. (1992), “Attitude toward applied statistics of postgraduate students in Transco,” Psychological Reports, 70, 67–75.
  • Hunsley, J. (1987), “Cognitive processes in mathematics anxiety and test anxiety: The rule of appraisals, internal dialogue and attributions,” Journal of Educational Psychology, 79, 388–392.
  • Keller, L. M. (1983), “Motivational design instruction,” in Instructional design theories and models: An overview of their current status, ed. C. M. Reigeluth, Hillsdale, N. J.: Erlbaum.
  • Krathwohl, D. R. Bloom, B. S., and Masia, B. B. (1964), Taxonomy of educational objectives: The classification of educational goals, Handbook II: Affective domain, New York: David.
  • Lalonde, R, N., and Gardner, R. C. (1984), “Investigating a causal model of second language acquisition: Where does personality fit?,” Canadian Journal of Behavioral Science, 16, 224–237.
  • Lalonde, R. N., and Gardner, R. C. (1993), “Statistics as a second language: Predicting performance of psychology students,” Canadian Journal of Behavioral Science, 25, 108–125.
  • Levin, T., and Long, R. (1981), Effective instruction, Alexandria, VA: Association for Supervision and Curriculum Development.
  • Llabre, M., and Suarez, E. (1985), “Predicting math anxiety and course performance in college women and men,” Journal of Counseling Psychology, 32, 283–287.
  • Man, F., NygȨrd, R., and Gjesme, T. (1994), “The achievement motives scale (AMS): Theoretical basis results from a first try-out of Czech form,” Scandinavian Journal of Educational Research, 38, 3–4.
  • Marsh, H. W., Hau, K.-T., Balla, J. R., and Grayson, D. (1998), “Is more ever too much? The number of indicators per factor in confirmatory factor analysis,” Multivariate Behavioral Research, 33, 181–220.
  • McDonald, A. R., and Seifert, F. C. (1999, October), “Full and limited information strategies for incorporating measurement error in regression models,” paper presented at the Southern Management Association Meeting. Atlanta GA.
  • McLeod, D. B. (1992), “Research on affect in mathematics learning in the JRME: 1970 to present,” Journal of Research in Mathematics Education, 25, 637–647.
  • Nasser, F. (1998, July), “Attitude toward statistics and statistics anxiety among college students: Structure and relationship to prior mathematics experience and performance in introductory statistics course,” paper presented at the Annual Meeting of the Stress and Anxiety Society (STAR), Istanbul, Turkey.
  • Nasser, F. (1999), “Prediction of statistics achievement,” in Proceedings of the International Statistical Institute 52nd Conference, Helsinki, Finland, (3), pp. 7–8.
  • Nasser, F., and Wisenbaker, J. (2002, April), “A Monte Carlo study investigating the impact of item parceling strategies on measures of fit in confirmatory factor analysis,” paper presented at the Annual Meeting of the American Educational Research Association. New Orleans, LA.
  • Nygärd, R., and Gjesme, T. (1973), “Assessment of achievement motives: Comments and suggestions,” Scandinavian Journal of Educational Research, 17, 39–46.
  • Olson, J. M., and Zanna, M. P. (1993), “Attitude and attitude change,” Annual Review of Psychology, 44, 117–154.
  • Onwuegbuzie, J. A. (1998), “Statistics anxiety: A function of learning style?,” Research in Schools, 5, 43–52.
  • Onwuegbuzie, J. A. (2000), “Statistics anxiety and the role of self-perception,” Journal of Educational Research, 93, 323–330.
  • Ossola, Y. (1970), “Attitude toward statistics of Flemish students in psychology and education,” Psychological Belgica, 10, 83–98.
  • Parker, C. S., and Plake, B. S. (1982), “The development and validation of the Revised Version of the Mathematics Anxiety Rating Scale,” Educational and Psychological Measurement, 42, 551–557.
  • Perney J., and Ravid, R. (1991), “The relationship between attitude toward statistics, mathematics self-concept, test anxiety and graduate students' achievement in introductory statistics course,” unpublished manuscript, National College of Education, Evanston, IL.
  • Ramsden, M. J. (1992), “If it's enjoyable, is it science?,” School Science Review, 73, 65–71.
  • Roberts, D. M., and Bilderback, E. W. (1980), “Reliability and validity of the of a statistics attitude survey,” Educational and Psychological Measurement, 40, 235–238.
  • Roberts, D. M., and Saxe, J. E. (1982), “Validity of statistics attitude survey: A follow up study,” Educational and Psychological Measurement, 42, 907–912.
  • Schau, C., and Mattern, N. (1997), “Assessing students' connected understanding of statistical relationship,” in The assessment challenges in statistics education, eds. I. Gal and J. B. Garfield, Amsterdam: IOS, pp. 91–104.
  • Schau, C., Stevens, J., Dauphinee, T., and Del Vecchio, A. (1995), “The development and validation of the Survey of Attitude toward Statistics,” Educational and Psychological Measurement, 55, 868–875.
  • Scott, J. S., and Wisenbaker, J. M. (1994, July), “A multiple method study of student attitude toward statistics,” paper presented at the Fourth International Conference on Teaching Statistics, Marrakech, Morocco.
  • Simon, J. L., and Bruce, P. (1991), “Resampling: A tool for everyday statistical work,” Chance, 4, 22–32.
  • Tabachanick G.B., and Fidell, L. T. (2001), Using multivariate statistics (4th ed.), Boston, MA: Allyn & Bacon.
  • Thompson, A. P., and Smith, L. M. (1982), “Conceptual, computational, and attitudinal correlates of student performance in introductory statistics,” Australian Psychologist, 17, 191–197.
  • Uguroglu, M., and Walburg, H. J. (1979), “Motivation and achievement: A quantitative synthesis,” American Educational Research Journal, 16, 375–389.
  • Vidal-Madjar, A. (1978), “Teaching mathematics and statistics to adults who are keen on psychology,” Educational Studies in Mathematics, 9, 381–390.
  • Velicer, F. W., and Fava, L. J. (1998), “Affects of variable and subject sampling on factor pattern recovery,” Psychological-Methods, 3(2), 231–251.
  • Watts, D. G. (1991), “Why introductory statistics is difficult to learn? And what we can do to make it easier?,” The American Statistician, 45, 290–405.
  • West, S. G., Fich, J. E., and Curran, P. J. (1995), “Structural equation models with nonnormal variables: problems, and remedies,” in Structural equation modeling: Concepts, issues and applications, ed. R. H. Hoyle, Thousand Oaks, CA: Sage, pp. 56–75.
  • Wise, S. L. (1985), “The development and validation of a scale measuring attitude toward statistics,” Educational and Psychological Measurement, 45, 401–405.
  • Wisenbaker, J. M., and Scott, J. S. (1995, April), “Attitude about statistics and achievement in introductory statistics course,” paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, CA.
  • Wisenbaker, J. M., and Scott, J. S. (1997, March), “Modeling aspects of students' attitude and achievement in introductory statistics course,” paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL.
  • Wisenbaker, J., Nasser, F., and Scott, J. (1998, June), “A multicultural exploration of the interrelation among attitude about and achievement in introductory statistics,” paper presented at the Annual Meeting of the International Conference of Teaching Statistics, Singapore.
  • Wisenbaker, J., Scott, J., and Nasser, F. (2000, August), “Structural equation models relating attitude about and achievement in introductory statistics courses: A comparison of results from U.S. and Israel,” paper presented at the Annual Meeting of the International Group for the Psychology of Mathematics Education, Akito, Japan.
  • Wlodkowski, J. R. (1993), Enhancing adult motivation to learn, A guide to improving instruction and increasing learner achievement. San Francisco: Jossey-Bass.
  • Wooten, C. T. (1998), “Factors influencing student learning in introductory accounting classes: A comparison of traditional and nontraditional students,” Issues Accounting Education, 13, 357–373.
  • Zeidner, M. (1991), “Statistics and mathematics anxiety in social science students: Some interesting parallels,” British Journal of Educational Psychology, 61, 319–328.

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