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A Meta-Analysis on Gender Differences in Mental Rotation Ability Measured by the Purdue Spatial Visualization Tests: Visualization of Rotations (PSVT:R)

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Abstract

This meta-analysis was conducted to estimate the magnitude of gender difference in three-dimensional (3-D) mental rotation ability and to investigate how factors related to test administration conditions play a role in varying gender difference effect sizes and threatening validity. Individuals’ 3-D mental rotation ability was measured by the Purdue Spatial Visualization Tests: Visualization of Rotations (PSVT:R). We integrated 70 effect sizes of gender differences in mental rotation ability measured by the PSVT:R which were obtained from 40 primary studies. The results indicated that male participants outperformed females on the test (Hedges’ g = 0.57). The I 2 statistic indicated 41.7 % of variation in effect sizes reflects real heterogeneity. The moderator analysis indicated that male superiority on spatial ability tasks measured by the PSVT:R is related to the implementation of time limits. The gender difference became larger when stringent time limits (equal or less than 30 s per item) were implemented.

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Notes

  1. The MRT consists of 20 items and each multiple choice item of the MRT had two correct answers when it was developed. A participant gets one point when he or she identifies the two correct answers. A participant gets no point when he or she identifies only one or none of the two correct answers. Thus, the maximum score of the MRT is 20 points. An alternative scoring method gives a point for each correct answer and accordingly the maximum score is 40 points.

  2. The instrument is also cataloged in the Educational Testing Service Test Collection (Educational Testing Service 2009) and An International Directory of Spatial Tests (Eliot and Smith, 1983).

  3. The Purdue Visualization of Rotations Test (ROT) is a shortened version of the PSVT:R with 20 items, and the PSV:R is a 12-item shortened version of the PSVT:R

  4. References with * in the reference list indicate the studies used for the current meta-analysis.

References

References marked with an asterisk indicate studies included in the meta-analysis. The in-text citations to studies selected for meta-analysis are not preceded by asterisks.

  • Alkhateeb, H. M. (2004). Spatial visualization of undergraduate education majors classified by thinking styles. Perceptual and Motor Skills, 98, 865–868. doi:10.2466/PMS.98.3.865-868.

    Article  Google Scholar 

  • American Educational Research Association (AERA), American Psychological Association (APA), and National Council on Measurement in Education (NCME). (1999). Standards for educational and psychological testing. Washington, NW: American Educational Research Association.

    Google Scholar 

  • Anastasi, A., & Urbina, S. (1997). Psychological testing (7th ed.). Upper Saddle River, NJ: Prentice-Hall.

    Google Scholar 

  • *Battista, M. T. (1980). Interrelationships between problem solving ability, right hemisphere processing facility and mathematics learning. Focus on Learning Problems in Mathematics, 2, 53–60.

  • *Battista, M. T. (1990). Spatial visualization and gender differences in high school geometry. Journal for Research in Mathematics Education, 21, 47-60. doi:10.2307/749456.

    Google Scholar 

  • Battista, M. T., Wheatley, G. H., & Talsma, G. (1982). The importance of spatial visualization and cognitive development for geometry learning in pre-service elementary teachers. Journal for Research in Mathematics Education, 13, 332–340. doi:10.2307/749007.

    Article  Google Scholar 

  • Bennett, G. K., Seashore, H. G., & Wesman, A. G. (1973). Differential aptitude tests. New York, NY: The Psychological Corporation.

    Google Scholar 

  • *Black, A. A. (2005). Spatial ability and earth science conceptual understanding. Journal of Geoscience Education, 53, 402-414. Retrieved from http://www.nagt.org/nagt/jge/abstracts/sep05.html#v53p402.

  • *Bock, A. M. (2005). Gaze duration estimates and eye movements related to mental rotation tasks. Unpublished master’s thesis. The University of Iowa, Iowa.

  • Bodner, G. M., & Guay, R. B. (1997). The Purdue visualization of rotations test. The Chemical Educator, 2(4), 1–18. doi:10.1333/s00897970138a.

    Article  Google Scholar 

  • Boles, D. B. (1980). X-linkage of spatial ability: a critical review. Child Development, 51, 625–635.

    Article  Google Scholar 

  • Borenstein, M. (2009). Effect sizes for continuous data. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (2nd ed., pp. 221–235). New York: Russell Sage.

    Google Scholar 

  • *Branoff, T. J. (1998). The effects of adding coordinate axes to a mental rotations task in measuring spatial visualization ability: an information processing approach relating to teaching methods of undergraduate technical graphics education. Dissertation Abstracts International, 59(03), 709A. (UMI Number: 9825977).

  • *Branoff, T. J. (1999). Coordinate axes and mental rotation tasks: a Solomon four group design. Engineering Design Graphics Journal, 63(3), 5–14.

    Google Scholar 

  • *Branoff, T. J. (2000). Spatial visualization measurement: a modification of the Purdue Spatial Visualization Test—Visualization of Rotations. Engineering Design Graphics Journal, 64(2), 14–22.

    Google Scholar 

  • *Branoff, T. J., Connolly, P. E. (1999, June). The addition of coordinate axes to the Purdue Spatial Visualization Test—Visualization of Rotations: a study at two universities. Proceedings of the American Society for Engineering Education (ASEE) Annual conference and expositions, Charlotte, North Carolina.

  • *Brownlow, S., McPheron, T. K. Acks, C. N. (2003). Science background and spatial abilities in men and women. Journal of Science Education and Technology, 12, 371-380. 10.1023/B:JOST.0000006297.90536.7c.

  • *Brownlow, S., Janas, A. J., Blake, K. A., Rebadow, K. T., Mello, L. M. (2011). Getting by with a little help from my friends: mental rotation ability after tacit peer encouragement. Psychology, 2, 363-370. 10.4236/psych.2011.24057.

  • *Brus, C., Zhao, L., Jessop, J. (2004, June). Visual–spatial ability in first-year engineering students: a useful retention variable? Proceedings of the American Society for Engineering Education (ASEE) Annual Conference and Expositions, Salt Lake City, Utah.

  • Caplan, P. J., MacPherson, G. M., & Tobin, P. (1985). Do sex-related differences in spatial abilities exist? A multilevel critique with new data. American Psychologist, 40, 789–799. doi:10.1037/0003-066X.40.7.786.

    Article  Google Scholar 

  • Carroll, J. B. (1993). Human cognitive abilities: a survey of factor-analytic studies. New York: Cambridge Univ. Press.

    Book  Google Scholar 

  • *Chae, Y., Chae, S., Mann, R. L. (2008, November). Gifted Spatial Learners: Class selection and Gender. Poster session presented at the Research Gala of Research and Evaluation Division at the 55th Annual Convention of the National Association for Gifted Children in Tampa, Florida.

  • Cherney, I. D. (2008). Mom, let me play more computer games: they improve my mental rotation ability. Sex Roles, 59, 776–786. doi:10.1007/s11199-008-9498-z.

    Article  Google Scholar 

  • Cohen, J. (1977). Statistical power analysis for the behavioral sciences. New York: Academic.

    Google Scholar 

  • College Entrance Examination Board. (1939). CEEB Special Aptitude Test in spatial relations. New York, NY: College Entrance Examination Board.

    Google Scholar 

  • *Connolly, P., Harris, L. V. A., Sadowski, M. (2009, June). Measuring and enhancing spatial visualization in engineering technology students. Proceedings of the American Society for Engineering Education (ASEE) Annual conference and expositions, Austin, Texas.

  • Contero, M., Naya, F., Company, P., Saorin, J. L., & Conesa, J. (2005). Improving visualization skills in engineering education. Computer Graphics in Education, 25(5), 24–31.

    Google Scholar 

  • Cooke-Simpson, A., & Voyer, D. (2007). Confidence and gender differences on the Mental Rotations Test. Learning and Individual Differences, 17, 181–186. doi:10.1016/j.lindif.2007.03.009.

    Article  Google Scholar 

  • *Dean, D. H. (2009). Spatial visualization and the gender gap in videogame interest among young adults. Young Consumers: Insight and Ideas for Responsible Marketers, 10, 225–237.

    Google Scholar 

  • Deno, J. (1995). The relationship of previous experiences to spatial visualization ability. Engineering Design Graphics Journal, 59, 5–17. doi:10.1108/17473610910986035.

    Google Scholar 

  • Educational Testing Service (2009). Educational Testing Service Test Collection. Retrieved from http://204.50.92.130/ETS_Test_Collection/Portal.aspx?lang=en-US.

  • Eliot, J. (1987). Models of psychological space: psychometric, developmental, and experimental approaches. New York: Springer.

    Book  Google Scholar 

  • *Eraso, M. (2007). Connecting visual and analytic reasoning to improve students’ spatial visualization abilities: A constructivist approach. Unpublished doctoral dissertation, Florida International University, Florida.

  • *Ernst, J. V., Clark, A. C. (2009). Technology-based content through virtual and physical modeling: a national research study. Journal of Technology Education, 20(2), 23–36.

    Google Scholar 

  • Feng, J., Spence, I., & Pratt, J. (2007). Playing an action video game reduces gender differences in spatial cognition. Psychological Science, 18, 850–855. doi:10.1111/j.1467-9280.2007.01990.x.

    Article  Google Scholar 

  • Field, B. W. (2007). Visualization, intuition, and mathematics metrics as predictors of undergraduate engineering design performance. Journal of Mechanical Design, 129, 735–743. doi:10.1115/1.2722790_.

    Article  Google Scholar 

  • Geiser, C., Lehmann, W., & Eid, M. (2006). Separating “rotators” from “non-rotators” in the Mental Rotations Test: a multigroup latent class analysis. Multivariate Behavioral Research, 41, 261–293. doi:10.1207/s15327906mbr4103_2.

    Article  Google Scholar 

  • Geiser, C., Lehmann, W., & Eid, M. (2008). A note on sex differences in mental rotation in different age groups. Intelligence, 36, 556–563. doi:10.1016/j.intell.2007.12.003.

    Article  Google Scholar 

  • Ginn, S. R., & Pickens, S. J. (2005). Relationships between spatial activities and scores on the mental rotation test as a function of sex. Perceptual and Motor Skills, 100, 877–881. doi:10.2466/PMS.100.3.877-881.

    Article  Google Scholar 

  • Goldstein, D., Haldane, D., & Mitchell, C. (1990). Sex differences in visual-spatial ability: the role of performance factors. Memory & Cognition, 18, 546–550.

    Article  Google Scholar 

  • Gohm, C. L., Humphreys, L. G., & Yao, G. (1998). Underachievement among spatially gifted students. American Educational Research Journal, 35, 515–531.

    Google Scholar 

  • *Grabow, R. (2003). The relationship of visual spatial ability to performance in solving stoichiometric problems in a high school chemistry class. Unpublished masters’ thesis, California State University, California.

  • Guay, R. B. (1976). Purdue spatial visualization test. West Lafayette, IN: Purdue Research Foundation.

    Google Scholar 

  • *Guay, R. B. (1978). Factors affecting spatial test performance: Sex, handedness, birth order, and experience. Paper presented at the Annual Meeting of the American Educational Research Association, Toronto, CA (ERIC Document Reproduction Service No. ED167612).

  • Guay, R. B. (1980). Spatial ability measurement: a critique and an alternative. Paper presented at the Annual Meeting of the American Educational Research Association, Boston, MA. (ERIC Document Reproduction Service No. ED189166).

  • *Guay, R. B., McDaniel, E. (1978). Correlates of performance on spatial aptitude tests. (A final report on Grant No. DAHC 19-77-G-0019) Alexandria, VA: U. S. Army Research Institute for the Behavioral and Social Sciences.

  • Guay, R. B., McDaniel, E., & Angelo, S. (1978). Analytic factors confounding spatial ability measurement. Paper presented at the annual convention of the American Psychological Association, Toronto, CA. In R. B. Guay & E. McDaniel (Eds.), Correlates of performance on spatial aptitude tests. Alexandria, VA: U. S. Army Research Institute for the Behavioral and Social Sciences.

    Google Scholar 

  • *Hagevik, R. A., (2003). The effects of online science instruction using geographic information systems to foster inquiry learning of teachers and middle school science students. Dissertation Abstracts International, 64(10), 3635A. (UMI Number: 3107767).

  • *Hake, R. R. (2002). Relationship of individual student normalized learning gains in Mechanics with gender, high-school physics, and pretest scores on mathematics and spatial visualization. Poster session presented at the Physics Education Research Conference (PERC), Boise, Idaho.

  • Haladyna, T. M., & Downing, S. M. (2004). Construct-irrelevant variance in high-stakes testing. Educational Measurement: Issues and Practice, 23, 17–27. doi:10.1111/j.1745-3992.2004.tb00149.x.

    Article  Google Scholar 

  • Harris, L. J. (1978). Sex differences in spatial ability: Possible environmental, genetic, and neurological factors. In M. Kinsbourne (Ed.), Asymmetrical function of the brain (pp. 405–522). New York: Cambridge University Press.

    Google Scholar 

  • *Harris, M. A., Peck, R. P., Colton, S., Morris, J., Neto, E. C., Kallio, J. (2009). A combination of hand-held models and computer imaging programs helps students answer oral questions about molecular structure and function: A controlled investigation of student learning. CBE Life Sciences Education, 8, 29-43. 10.1187/cbe.08-07-0039.

  • *Hassan, M. M., Abed, A. S. (1999). Differences in spatial visualization as a function of scores on hemisphericity of mathematics teachers. Perceptual and motor skills, 88, 387-390. 10.2466/PMS.88.2.387-390.

  • Hausmann, M., Slabbekoorn, D., Van Goozen, S. H. M., Cohen-Kettenis, P. T., & Güntürkün, O. (2000). Sex hormones affect spatial abilities during the menstrual cycle. Behavioral Neuroscience, 114, 1245–1250. doi:10.1037/0735-7044.114.6.1245.

    Article  Google Scholar 

  • Hedges, L. V. (1981). Distribution theory for Glass’s estimator of effect size and related estimators. Journal of Educational Statistics, 6, 107–128. doi:10.3102/10769986006002107.

    Article  Google Scholar 

  • Hedges, L. V., & Nowell, A. (1995). Sex differences in mental test scores, variability, and numbers of high scoring individuals. Science, 269, 41–45.

    Article  Google Scholar 

  • Hedges, L. V., & Olkin, I. (1985). Statistical model of meta-analysis. New York: Academic.

    Google Scholar 

  • Higgins, J., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analysis. British Medical Journal, 327, 557–560. doi:10.1136/bmj.327.7414.557.

    Article  Google Scholar 

  • Hirnstein, M., Bayer, U., & Hausmann, M. (2009). Sex-specific response strategies in mental rotation. Learning and Individual Differences, 19, 225–228. doi:10.1016/j.lindif.2008.11.006.

    Article  Google Scholar 

  • Höffler, T. N. (2010). Spatial ability: Its influence on learning with visualizations—a meta-analytic review. Educational Psychology Review, 245–269. doi:10.1007/s10648-010-9126-7.

  • Huff, K. L., & Sireci, S. G. (2001). Validity issues in computer-based testing. Educational Measurement: Issues and Practice, 20(3), 16–25. doi:10.1111/j.1745-3992.2001.tb00066.x.

    Article  Google Scholar 

  • Humphreys, L. G., Lubinski, D., & Yao, G. (1993). Utility of predicting group membership and the role of spatial visualization in becoming an engineer, physical scientist, or artist. Journal of Applied Psychology, 78, 250–261.

    Article  Google Scholar 

  • Jordan, K., Wüstenberg, T., Heinze, H.-J., Peters, M., & Jäncke, L. (2002). Women and men exhibit different cortical activation patterns during mental rotation tasks. Neuropsychologia, 40, 2397–2408. doi:10.1016/S0028-3932(02), 00076-3.

    Article  Google Scholar 

  • Just, M. A., & Carpenter, P. A. (1985). Cognitive coordinate systems: accounts of mental rotation and individual differences in spatial ability. Psychological Review, 92, 137–172.

    Article  Google Scholar 

  • *Koch, D. S. (2006). The effects of solid modeling and visualization on technical problem solving. Unpublished doctoral dissertation, The Virginia Polytechnic Institute and State University, Virginia.

  • Koscik, T., O’Leary, D., Moser, D. J., Andreasen, N. C., & Nopoulos, P. (2009). Sex differences in parietal lobe morphology: relationship to mental rotation performance. Brain and Cognition, 69, 451–459. doi:10.1016/j.bandc.2008.09.004.

    Article  Google Scholar 

  • *Kovac, R. J. Rensselaer, B. (1989). The validation of selected spatial ability tests via correlational assessment and analysis of user-processing strategy. Educational Research Quarterly, 13(2), 26–35.

    Google Scholar 

  • *Lindsay, H. A. (2001). Factors related to achievement in sophomore organic chemistry at the University of Arkansas, Unpublished Doctoral dissertation, University of Arkansas.

  • Linn, M. C., & Petersen, A. C. (1985). Emergence and characterization of sex differences in spatial ability: a meta-analysis. Child Development, 56, 1479–1498. doi:10.2307/1130467.

    Article  Google Scholar 

  • Lipsey, M. W. (2009). Identifying interesting variables and analysis opportunities. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (2nd ed., pp. 147–158). New York: Sage.

    Google Scholar 

  • Lu, Y., & Sireci, S. G. (2007). Validity issues in test speededness. Educational Measurement: Issues and Practice, 26(4), 29–37. doi:10.1111/j.1745-3992.2007.00106.x.

    Article  Google Scholar 

  • Lohman, D. F. (1996). Spatial ability and G. In I. Dennis & P. Tapsfield (Eds.), Human abilities: their nature and measurement (pp. 97–116). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Lubinski, D. (2010). Spatial ability and STEM: a sleeping giant for talent identification and development. Personality and Individual Differences, 49, 344–351. doi:10.1016/j.paid.2010.03.022.

    Article  Google Scholar 

  • *Maeda, Y., Yoon, S. Y. (2011). Scaling the Revised PSVT-R: Characteristics of the first year engineering students’ spatial ability. Proceedings of the American Society for Engineering Education (ASEE) Annual Conference and Exposition, 2011-2582, Vancouver, BC, Canada.

  • Masters, M. S. (1998). The gender difference on the Mental Rotations Test is not due to performance factors. Memory & Cognition, 26, 444–448.

    Article  Google Scholar 

  • McCallin, R. C. (2006). Test administration. In S. M. Downing & T. M. Haladyna (Eds.), Handbook of test development (pp. 625–652). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Messick, S. (1984). The psychology of educational measurement. Journal of Educational Measurement, 21, 215–237.

    Article  Google Scholar 

  • Moè, A. (2009). Are males always better than females in mental rotation? Exploring a gender belief explanation. Learning and Individual Differences, 19, 21–27. doi:10.1016/j.lindif.2008.02.002.

    Article  Google Scholar 

  • Moè, A., & Pazzaglia, F. (2006). Following the instructions: effects of gender beliefs in mental rotation. Learning and Individual Differences, 16, 369–377. doi:10.1016/j.lindif.2007.01.002.

    Article  Google Scholar 

  • Monahan, J. S., Harke, M. A., & Shelley, J. R. (2008). Computerizing the Mental Rotations Test: are gender differences maintained? Behavior Research Methods, 40, 422–427. doi:10.3758/BRM.40.2.422.

    Article  Google Scholar 

  • Morris, S. B., & DeShon, R. P. (2002). Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs. Psychological Methods, 7, 105–125. doi:10.1037/1082-989X.7.1.105.

    Article  Google Scholar 

  • Moses, B. E. (1977). The nature of spatial ability and its relationship to mathematical problem-solving. Indiana University, IN: Unpublished doctoral dissertation.

    Google Scholar 

  • Netemeyer, R. G., Bearden, W. O., & Sharma, S. (2003). Scaling procedures. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Ortner, T. M., & Sieverding, M. (2008). Where are the gender differences? Male priming boosts spatial skills in women. Sex Roles, 59, 274–281. doi:10.1007/s11199-008-9448-9.

    Article  Google Scholar 

  • *Parolini, L. L. (1994). Gender differences on predictors of success on the Purdue Spatial Visualization Test: Rotations. Unpublished master’s thesis, Michigan Technological University, Michigan.

  • Peters, M. (2005). Sex differences and the factor of time in solving Vandenberg and Kuse mental rotation problems. Brain and Cognition, 57, 176–184. doi:10.1016/j.bandc.2004.08.052.

    Article  Google Scholar 

  • Peters, M., Laeng, B., Lathan, K., Jackson, M., Zaiouna, R., & Richardson, C. (1995). A redrawn Vandenberg and Kuse Mental Rotations Test: different versions and factors that affect performance. Brain and Cognition, 28, 39–58.

    Article  Google Scholar 

  • *Poulin, M., O’Connell, R. L., Freeman, L. M. (2004). Picture recall skills correlate with 2D:4D ratio in women but not men. Evolution and Human Behavior, 25, 174-181. 10.1016/j.evolhumbehav.2004.03.004.

  • *Provo, J. A. (1996). The effect of examination of a cross section on studentsability to visualize anatomy in three dimensions. Unpublished master’s thesis, Purdue University, Indiana.

  • Quaiser-Pohl, C., Geiser, C., & Lehmann, W. (2006). The relationship between computer-game preference, gender, and mental-rotation ability. Personality and Individual Differences, 40, 609–619. doi:10.1016/j.paid.2005.07.015.

    Article  Google Scholar 

  • *Santone, A. (2009). Visuospatial characterization and analysis of spatial ability of video game players. Unpublished doctoral dissertation, Purdue University, IN.

  • *Schoenfeld-Tacher, R. M. (2000). Relation of student characteristics to learning of basic biochemistry concepts from a multimedia goal-based scenario. Unpublished doctoral dissertation, University of Northern Colorado.

  • Sharps, M. J., Price, J. L., & Williams, J. K. (1994). Spatial cognition and gender: instructional and stimulus influence on mental image rotation performance. Psychology of Women Quarterly, 18, 413–425. doi:10.1111/j.1471-6402.1994.tb00464.x.

    Article  Google Scholar 

  • Shea, D. L., Lubinski, D., & Benbow, C. P. (2001). Importance of assessing spatial ability in intellectually talented young adolescents: a 20-year longitudinal study. Journal of Educational Psychology, 93, 604–614. doi:10.1037//0022-0663.93.3.604.

    Article  Google Scholar 

  • Shepard, R. N. (1978). Externalization of mental images and the act of creation. In B. S. Randhawa & W. E. Coffman (Eds.), Visual learning, thinking, and communication (pp. 133–190). New York: Academic.

    Google Scholar 

  • Smith, I. M. (1964). Spatial ability: its educational and social significance. London: University of London Press.

    Google Scholar 

  • *Smith, M. E. (2009). The correlation between a pre-engineering student’s spatial ability and achievement in an electronics fundamentals course. Unpublished doctoral dissertation, Utah State University, UT.

  • Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D solid modeling software. Engineering Design Graphics Journal, 64(3), 30–35.

    Google Scholar 

  • Sorby, S. A. (2009). Educational research in developing 3-D spatial skills for engineering students. International Journal of Science Education, 31, 459–480.

    Article  Google Scholar 

  • Sorby, S. A., & Baartmans, B. J. (1996). A course for the development of 3-D spatial visualization skills. Engineering Design Graphics Journal, 60(1), 13–20.

    Google Scholar 

  • Sorby, S. A., & Baartmans, B. J. (2000). The development and assessment of a course for enhancing the 3-D spatial visualization skills of first year engineering students. Journal of Engineering Education, 89, 301–307.

    Article  Google Scholar 

  • *Sorby, S. A., Drummer, T., Hungwe, K., Parolini, L., Molzon, R. (2006a, July). Preparing for engineering studies: Improving the 3-D spatial skills of K-12 students. Proceedings of 9th International Conference on Engineering Education (ICEE), San Juan, Puerto Rico.

  • *Sorby, S. A., Drummer, T., Molzon, R. (2006b). Experiences in using spatial skills testing instruments with younger audiences. Journal for Geometry and Graphics, 10, 227–235.

    Google Scholar 

  • Stieff, M. (2007). Mental rotation and diagrammatic reasoning in science. Learning and Instruction, 17, 219–234. doi:10.1016/j.learninstruc.2007.01.012.

    Article  Google Scholar 

  • Strong, S., & Smith, R. (2001/2002). Spatial visualization: Fundamentals and trends in engineering graphics. Journal of Industrial Technology, 18, 1–6.

    Google Scholar 

  • Strube, M. J. (1987). A general model for estimating and correcting the effects of non-independence in meta-analysis. Multiple Linear Regression Viewpoints, 16, 40–47.

    Google Scholar 

  • *Stumpf, H., Eliot, J. (1995). Gender-related differences in spatial ability and the k factor of general spatial ability in a population of academically talented students. Personality and Individual Differences, 19, 33–45. 10.1016/0191-8869(95)00029-6.

  • *Titus, S., Horsman, E. (2009). Characterizing and improving spatial visualization skills. Journal of Geoscience Education, 57, 242–254.

    Google Scholar 

  • Titze, C., Heil, M., & Janse, P. (2008). Gender differences in the Mental Rotations Test (MRT) are not due to task complexity. Journal of Individual Differences, 29, 130–133. doi:10.1027/1614-0001.29.3.130.

    Article  Google Scholar 

  • Thomas, H., & Kail, R. (1991). Sex differences in speed of mental rotation and the X-linked genetic hypothesis. Intelligence, 15, 17–32. doi:10.1016/0160-2896(91)90020-E.

    Article  Google Scholar 

  • Thomsen, T., Hugdahl, K., Ersland, L., Barndon, R., Lundervold, A., Smievoll, A. I., Roscher, B. E., & Sundberg, H. (2000). A functional magnetic resonance imaging (fMRI) study of sex differences in a mental rotation task. Medical Science Monitor, 6, 1186–1196.

    Google Scholar 

  • Vandenberg, S. G., & Kuse, A. R. (1978). Mental rotations: a group test of three-dimensional spatial visualization. Perceptual and Motor Skills, 47, 599–604. doi:10.2466/PMS.47.6.599-604.

    Article  Google Scholar 

  • Voyer, D., Rodgers, M., & McCormick, P. A. (2004). Timing conditions and the magnitude of gender differences on the Mental Rotations Test. Memory & Cognition, 32, 72–82.

    Article  Google Scholar 

  • Voyer, D., & Saunders, K. A. (2004). Gender differences on the mental rotations test: a factor analysis. Acta Psychologica, 117, 74–94. doi:10.1016/j.actpsy.2004.05.003.

    Article  Google Scholar 

  • Voyer, D., Voyer, S., & Bryden, M. P. (1995). Magnitude of sex differences in spatial abilities: a meta-analysis and consideration of critical variables. Psychological Bulletin, 117, 250–270. doi:10.1037/0033-2909.117.2.250.

    Article  Google Scholar 

  • Wai, J., Lubinski, D., & Benbow, C. P. (2009). Spatial ability for STEM domains: aligning over fifty years of cumulative psychological knowledge solidifies its importance. Journal of Educational Psychology, 101, 817–835. doi:10.1037/a0016127.

    Article  Google Scholar 

  • Wilson, D. B. (2009). Systematic coding. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis (2nd ed., pp. 159–176). New York: Sage.

    Google Scholar 

  • Wilkinson, L., & Task Force on Statistical Inference. (1999). Statistical methods in psychology journals: guidelines and explanations. American Psychologist, 54, 594–604. doi:10.1037/0003-066X.54.8.594.

    Article  Google Scholar 

  • Wood, J. A. (2008). Methodology for dealing with duplicate study effects in a meta-analysis. Organizational Research Methods, 11, 79–95. doi:10.1177/1094428106296638.

    Article  Google Scholar 

  • *Yoon, S. Y. (2011). Psychometric properties of the Revised Purdue Spatial Visualization Tests: Visualization of Rotations (The Revised PSVT:R) (Doctoral Dissertation). Retrieved from ProQuest Dissertations and Theses. (Order Number: 3480934).

  • *Yue, J. (2002, June). Spatial visualization skills at various educational levels. Proceedings of the American Society for Engineering Education (ASEE) Annual Conference and Expositions, Montréal, Quebec, Canada.

  • Yue, J. (2004, June). Spatial visualization by orthogonal rotations. Proceedings of the American Society for Engineering Education (ASEE) Annual Conference and Expositions, Salt Lake City, Utah.

  • Yue, J. (2006, October). Spatial visualization by isometric drawing. Proceedings of the2006 IJME-INTERTECH Conference, Union, New Jersey.

  • *Yue, J. Chen, D. M. (2001, June). Does CAD improve spatial visualization ability? Proceedings of the American Society for Engineering Education (ASEE) Annual Conference and Expositions, Albuquerque, New Mexico.

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Correspondence to Yukiko Maeda.

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Maeda, Y., Yoon, S.Y. A Meta-Analysis on Gender Differences in Mental Rotation Ability Measured by the Purdue Spatial Visualization Tests: Visualization of Rotations (PSVT:R). Educ Psychol Rev 25, 69–94 (2013). https://doi.org/10.1007/s10648-012-9215-x

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