| Adding immersive virtual reality to a science lab simulation causes more presence but less learning G Makransky, TS Terkildsen, RE Mayer Learning and Instruction 60, 225-236, 2019 | 250 | 2019 |
| Critical Values for Yen’s Q3: Identification of Local Dependence in the Rasch Model Using Residual Correlations KB Christensen, G Makransky, M Horton Applied psychological measurement 41 (3), 178-194, 2017 | 163 | 2017 |
| Improving biotech education through gamified laboratory simulations MT Bonde, G Makransky, J Wandall, MV Larsen, M Morsing, H Jarmer, ... Nature biotechnology 32 (7), 694-697, 2014 | 147 | 2014 |
| Testing vocational interests and personality as predictors of person-vocation and person-job fit KH Ehrhart, G Makransky Journal of Career Assessment 15 (2), 206-226, 2007 | 107 | 2007 |
| A structural equation modeling investigation of the emotional value of immersive virtual reality in education G Makransky, L Lilleholt Educational Technology Research and Development 66 (5), 1141-1164, 2018 | 92 | 2018 |
| Simulation based virtual learning environment in medical genetics counseling: an example of bridging the gap between theory and practice in medical education G Makransky, MT Bonde, JSG Wulff, J Wandall, M Hood, PA Creed, ... BMC medical education 16 (1), 1-9, 2016 | 89 | 2016 |
| Early productive vocabulary predicts academic achievement 10 years later D Bleses, G Makransky, PS Dale, A Højen, BA Ari Applied Psycholinguistics 37 (6), 1461-1476, 2016 | 69 | 2016 |
| Virtual simulations as preparation for lab exercises: Assessing learning of key laboratory skills in microbiology and improvement of essential non-cognitive skills G Makransky, MW Thisgaard, H Gadegaard PloS one 11 (6), e0155895, 2016 | 69 | 2016 |
| Development and validation of the Multimodal Presence Scale for virtual reality environments: A confirmatory factor analysis and item response theory approach G Makransky, L Lilleholt, A Aaby Computers in Human Behavior 72, 276-285, 2017 | 65 | 2017 |
| Investigating the effect of pre-training when learning through immersive virtual reality and video: A media and methods experiment OA Meyer, MK Omdahl, G Makransky Computers & Education 140, 103603, 2019 | 50 | 2019 |
| An automatic online calibration design in adaptive testing G Makransky, CAW Glas Journal of Applied Testing Technology 11 (1), 1-20, 2014 | 46 | 2014 |
| Motivational and cognitive benefits of training in immersive virtual reality based on multiple assessments G Makransky, S Borre‐Gude, RE Mayer Journal of Computer Assisted Learning 35 (6), 691-707, 2019 | 41 | 2019 |
| Psychometric properties of the parent and teacher ADHD Rating Scale (ADHD-RS) measurement invariance across gender, age, and informant G Makransky, N Bilenberg Assessment 21 (6), 694-705, 2014 | 40 | 2014 |
| Investigating the process of learning with desktop virtual reality: A structural equation modeling approach G Makransky, GB Petersen Computers & Education 134, 15-30, 2019 | 36 | 2019 |
| A gender matching effect in learning with pedagogical agents in an immersive virtual reality science simulation G Makransky, P Wismer, RE Mayer Journal of Computer Assisted Learning 35 (3), 349-358, 2019 | 36 | 2019 |
| Virtual learning simulations in high school: Effects on cognitive and non-cognitive outcomes and implications on the development of STEM academic and career choice M Thisgaard, G Makransky Frontiers in Psychology 8, 805, 2017 | 31 | 2017 |
| Improving personality facet scores with multidimensional computer adaptive testing: An illustration with the NEO PI-R G Makransky, EL Mortensen, CAW Glas Assessment 20 (1), 3-13, 2013 | 30 | 2013 |
| Does the Over-Claiming Questionnaire measure overclaiming? Absent convergent validity in a large community sample. SG Ludeke, G Makransky Psychological Assessment 28 (6), 765, 2016 | 29 | 2016 |
| Role of subjective and objective measures of cognitive processing during learning in explaining the spatial contiguity effect G Makransky, TS Terkildsen, RE Mayer Learning and Instruction 61, 23-34, 2019 | 24 | 2019 |
| Analysis of the construct validity and measurement invariance of the career decision self-efficacy scale: A Rasch model approach G Makransky, ME Rogers, PA Creed Journal of Career Assessment 23 (4), 645-660, 2015 | 24 | 2015 |
Richard E MayerUniversity of California, Santa BarbaraVerified email at psych.ucsb.edu
