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Advances in Temporal Analysis in Learning and Instruction

field instruction

Molenaar I.
GSID: fy2QBjrgrG8J
I Molenaar - Frontline Learning Research, 2014 - ERIC

… and instruction research, the need for temporal analysis is becoming more prevalent. This paper focuses on the developing trend in learning and instruction research to analyze temporal characteristics of different constructs. The rationale for temporal analysis in our...

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Molenaar, I. (2014). Advances in Temporal Analysis in Learning and Instruction. Frontline Learning Research, 2(4), 15-24.
Molenaar, Inge. "Advances in Temporal Analysis in Learning and Instruction." Frontline Learning Research 2.4 (2014): 15-24.
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[The referral of patients within secondary health services].

Nederlands tijdschrift voor geneeskunde

Molenaar JC.
PMID: 3796750
Ned Tijdschr Geneeskd. 1986 Nov 22;130(47):2114-5.

No abstract available.

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Molenaar JC. Het verwijzen van patiënten binnen het tweede echelon. [The referral of patients within secondary health services]. Ned Tijdschr Geneeskd. 1986;130(47):2114-5
Molenaar, J. C. (1986). Het verwijzen van patiënten binnen het tweede echelon. [The referral of patients within secondary health services]. Nederlands tijdschrift voor geneeskunde, 130(47), 2114-5.
Molenaar, J C. "Het verwijzen van patiënten binnen het tweede echelon." [The referral of patients within secondary health services]. Nederlands tijdschrift voor geneeskunde vol. 130,47 (1986): 2114-5.
Molenaar JC. Het verwijzen van patiënten binnen het tweede echelon. [The referral of patients within secondary health services]. Ned Tijdschr Geneeskd. 1986 Nov 22;130(47):2114-5. Dutch. PMID: 3796750.
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In memoriam--Professor Dr G. Den Otter, 1921-1990.

The Netherlands journal of surgery

de Boer HM, Molenaar JC.
PMID: 2057092
Neth J Surg. 1991 Apr;43(2):27-8.

No abstract available.

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de Boer HM, Molenaar JC. In memoriam--Professor Dr G. Den Otter, 1921-1990. Neth J Surg. 1991;43(2):27-8
de Boer, H. M., & Molenaar, J. C. (1991). In memoriam--Professor Dr G. Den Otter, 1921-1990. The Netherlands journal of surgery, 43(2), 27-8.
de Boer, H M, and Molenaar, J C. "In memoriam--Professor Dr G. Den Otter, 1921-1990." The Netherlands journal of surgery vol. 43,2 (1991): 27-8.
de Boer HM, Molenaar JC. In memoriam--Professor Dr G. Den Otter, 1921-1990. Neth J Surg. 1991 Apr;43(2):27-8. PMID: 2057092.
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Stagewise cognitive development: an application of catastrophe theory.

Psychological review

van der Maas HL, Molenaar PC.
PMID: 1502272
Psychol Rev. 1992 Jul;99(3):395-417. doi: 10.1037/0033-295x.99.3.395.

In this article an overview is given of traditional methodological approaches to stagewise cognitive developmental research. These approaches are evaluated and integrated on the basis of catastrophe theory. In particular, catastrophe theory specifies a set of common criteria for...

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van der Maas HL, Molenaar PC. Stagewise cognitive development: an application of catastrophe theory. Psychol Rev. 1992;99(3):395-417doi: 10.1037/0033-295x.99.3.395.
van der Maas, H. L., & Molenaar, P. C. (1992). Stagewise cognitive development: an application of catastrophe theory. Psychological review, 99(3), 395-417. https://doi.org/10.1037/0033-295x.99.3.395
van der Maas, H L, and Molenaar, P C. "Stagewise cognitive development: an application of catastrophe theory." Psychological review vol. 99,3 (1992): 395-417. doi: https://doi.org/10.1037/0033-295x.99.3.395
van der Maas HL, Molenaar PC. Stagewise cognitive development: an application of catastrophe theory. Psychol Rev. 1992 Jul;99(3):395-417. doi: 10.1037/0033-295x.99.3.395. PMID: 1502272.
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FOLFIRINOX in Locally Advanced and Metastatic Pancreatic Cancer: A Single Centre Cohort Study.

Journal of Cancer

Rombouts SJ, Mungroop TH, Heilmann MN, van Laarhoven HW, Busch OR, Molenaar IQ, Besselink MG, Wilmink JW.
PMID: 27698926
J Cancer. 2016 Aug 26;7(13):1861-1866. doi: 10.7150/jca.16279. eCollection 2016.

No abstract available.

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Rombouts SJ, Mungroop TH, Heilmann MN, et al. FOLFIRINOX in Locally Advanced and Metastatic Pancreatic Cancer: A Single Centre Cohort Study. J Cancer. 2016;7(13):1861-1866doi: 10.7150/jca.16279.
Rombouts, S. J., Mungroop, T. H., Heilmann, M. N., van Laarhoven, H. W., Busch, O. R., Molenaar, I. Q., Besselink, M. G., & Wilmink, J. W. (2016). FOLFIRINOX in Locally Advanced and Metastatic Pancreatic Cancer: A Single Centre Cohort Study. Journal of Cancer, 7(13), 1861-1866. https://doi.org/10.7150/jca.16279
Rombouts, S J, et al. "FOLFIRINOX in Locally Advanced and Metastatic Pancreatic Cancer: A Single Centre Cohort Study." Journal of Cancer vol. 7,13 (2016): 1861-1866. doi: https://doi.org/10.7150/jca.16279
Rombouts SJ, Mungroop TH, Heilmann MN, van Laarhoven HW, Busch OR, Molenaar IQ, Besselink MG, Wilmink JW. FOLFIRINOX in Locally Advanced and Metastatic Pancreatic Cancer: A Single Centre Cohort Study. J Cancer. 2016 Aug 26;7(13):1861-1866. doi: 10.7150/jca.16279. eCollection 2016. PMID: 27698926; PMCID: PMC5039370.
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Prediction uncertainty assessment of a systems biology model requires a sample of the full probability distribution of its parameters.

PeerJ

van Mourik S, Ter Braak C, Stigter H, Molenaar J.
PMID: 25024907
PeerJ. 2014 Jun 17;2:e433. doi: 10.7717/peerj.433. eCollection 2014.

Multi-parameter models in systems biology are typically 'sloppy': some parameters or combinations of parameters may be hard to estimate from data, whereas others are not. One might expect that parameter uncertainty automatically leads to uncertain predictions, but this is...

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van Mourik S, Ter Braak C, Stigter H, et al. Prediction uncertainty assessment of a systems biology model requires a sample of the full probability distribution of its parameters. PeerJ. 2014;2:e433doi: 10.7717/peerj.433.
van Mourik, S., Ter Braak, C., Stigter, H., & Molenaar, J. (2014). Prediction uncertainty assessment of a systems biology model requires a sample of the full probability distribution of its parameters. PeerJ, 2e433. https://doi.org/10.7717/peerj.433
van Mourik, Simon, et al. "Prediction uncertainty assessment of a systems biology model requires a sample of the full probability distribution of its parameters." PeerJ vol. 2 (2014): e433. doi: https://doi.org/10.7717/peerj.433
van Mourik S, Ter Braak C, Stigter H, Molenaar J. Prediction uncertainty assessment of a systems biology model requires a sample of the full probability distribution of its parameters. PeerJ. 2014 Jun 17;2:e433. doi: 10.7717/peerj.433. eCollection 2014. PMID: 25024907; PMCID: PMC4081139.
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Scaffolding of small groups' metacognitive activities with an avatar.

International journal of computer-supported collaborative learning

Molenaar I, Chiu MM, Sleegers P, van Boxtel C.
PMID: 27069424
Int J Comput Support Collab Learn. 2011;6:601-624. doi: 10.1007/s11412-011-9130-z. Epub 2011 Oct 12.

Metacognitive scaffolding in a computer-supported learning environment can influence students' metacognitive activities, metacognitive knowledge and domain knowledge. In this study we analyze how metacognitive activities mediate the relationships between different avatar scaffolds on students' learning. Multivariate, multilevel analysis of...

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Molenaar I, Chiu MM, Sleegers P, et al. Scaffolding of small groups' metacognitive activities with an avatar. Int J Comput Support Collab Learn. 2011;6:601-624doi: 10.1007/s11412-011-9130-z.
Molenaar, I., Chiu, M. M., Sleegers, P., & van Boxtel, C. (2011). Scaffolding of small groups' metacognitive activities with an avatar. International journal of computer-supported collaborative learning, 6601-624. https://doi.org/10.1007/s11412-011-9130-z
Molenaar, Inge, et al. "Scaffolding of small groups' metacognitive activities with an avatar." International journal of computer-supported collaborative learning vol. 6 (2011): 601-624. doi: https://doi.org/10.1007/s11412-011-9130-z
Molenaar I, Chiu MM, Sleegers P, van Boxtel C. Scaffolding of small groups' metacognitive activities with an avatar. Int J Comput Support Collab Learn. 2011;6:601-624. doi: 10.1007/s11412-011-9130-z. Epub 2011 Oct 12. PMID: 27069424; PMCID: PMC4811593.
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Parameter estimation in tree graph metabolic networks.

PeerJ

Astola L, Stigter H, Gomez Roldan MV, van Eeuwijk F, Hall RD, Groenenboom M, Molenaar JJ.
PMID: 27688960
PeerJ. 2016 Sep 20;4:e2417. doi: 10.7717/peerj.2417. eCollection 2016.

We study the glycosylation processes that convert initially toxic substrates to nutritionally valuable metabolites in the flavonoid biosynthesis pathway of tomato (Solanum lycopersicum) seedlings. To estimate the reaction rates we use ordinary differential equations (ODEs) to model the enzyme...

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Astola L, Stigter H, Gomez Roldan MV, et al. Parameter estimation in tree graph metabolic networks. PeerJ. 2016;4:e2417doi: 10.7717/peerj.2417.
Astola, L., Stigter, H., Gomez Roldan, M. V., van Eeuwijk, F., Hall, R. D., Groenenboom, M., & Molenaar, J. J. (2016). Parameter estimation in tree graph metabolic networks. PeerJ, 4e2417. https://doi.org/10.7717/peerj.2417
Astola, Laura, et al. "Parameter estimation in tree graph metabolic networks." PeerJ vol. 4 (2016): e2417. doi: https://doi.org/10.7717/peerj.2417
Astola L, Stigter H, Gomez Roldan MV, van Eeuwijk F, Hall RD, Groenenboom M, Molenaar JJ. Parameter estimation in tree graph metabolic networks. PeerJ. 2016 Sep 20;4:e2417. doi: 10.7717/peerj.2417. eCollection 2016. PMID: 27688960; PMCID: PMC5036115.
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Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time.

PeerJ

van Dijk ADJ, Molenaar J.
PMID: 28439467
PeerJ. 2017 Apr 19;5:e3197. doi: 10.7717/peerj.3197. eCollection 2017.

The appropriate timing of flowering is crucial for the reproductive success of plants. Hence, intricate genetic networks integrate various environmental and endogenous cues such as temperature or hormonal statues. These signals integrate into a network of floral pathway integrator...

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van Dijk ADJ, Molenaar J. Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time. PeerJ. 2017;5:e3197doi: 10.7717/peerj.3197.
van Dijk, A. D. J., & Molenaar, J. (2017). Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time. PeerJ, 5e3197. https://doi.org/10.7717/peerj.3197
van Dijk, Aalt D J, and Molenaar, Jaap. "Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time." PeerJ vol. 5 (2017): e3197. doi: https://doi.org/10.7717/peerj.3197
van Dijk ADJ, Molenaar J. Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time. PeerJ. 2017 Apr 19;5:e3197. doi: 10.7717/peerj.3197. eCollection 2017. PMID: 28439467; PMCID: PMC5399868.
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A voxelwise approach to determine consensus regions-of-interest for the study of brain network plasticity.

Frontiers in neuroanatomy

Rajtmajer SM, Roy A, Albert R, Molenaar PC, Hillary FG.
PMID: 26283928
Front Neuroanat. 2015 Jul 28;9:97. doi: 10.3389/fnana.2015.00097. eCollection 2015.

Despite exciting advances in the functional imaging of the brain, it remains a challenge to define regions of interest (ROIs) that do not require investigator supervision and permit examination of change in networks over time (or plasticity). Plasticity is...

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Rajtmajer SM, Roy A, Albert R, et al. A voxelwise approach to determine consensus regions-of-interest for the study of brain network plasticity. Front Neuroanat. 2015;9:97doi: 10.3389/fnana.2015.00097.
Rajtmajer, S. M., Roy, A., Albert, R., Molenaar, P. C., & Hillary, F. G. (2015). A voxelwise approach to determine consensus regions-of-interest for the study of brain network plasticity. Frontiers in neuroanatomy, 997. https://doi.org/10.3389/fnana.2015.00097
Rajtmajer, Sarah M, et al. "A voxelwise approach to determine consensus regions-of-interest for the study of brain network plasticity." Frontiers in neuroanatomy vol. 9 (2015): 97. doi: https://doi.org/10.3389/fnana.2015.00097
Rajtmajer SM, Roy A, Albert R, Molenaar PC, Hillary FG. A voxelwise approach to determine consensus regions-of-interest for the study of brain network plasticity. Front Neuroanat. 2015 Jul 28;9:97. doi: 10.3389/fnana.2015.00097. eCollection 2015. PMID: 26283928; PMCID: PMC4517380.
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Relating Factor Models for Longitudinal Data to Quasi-Simplex and NARMA Models.

Multivariate behavioral research

Rovine MJ, Molenaar PC.
PMID: 26822274
Multivariate Behav Res. 2005 Jan 01;40(1):83-114. doi: 10.1207/s15327906mbr4001_4.

In this article we show the one-factor model can be rewritten as a quasi-simplex model. Using this result along with addition theorems from time series analysis, we describe a common general model, the nonstationary autoregressive moving average (NARMA) model,...

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Rovine MJ, Molenaar PC. Relating Factor Models for Longitudinal Data to Quasi-Simplex and NARMA Models. Multivariate Behav Res. 2005;40(1):83-114doi: 10.1207/s15327906mbr4001_4.
Rovine, M. J., & Molenaar, P. C. (2005). Relating Factor Models for Longitudinal Data to Quasi-Simplex and NARMA Models. Multivariate behavioral research, 40(1), 83-114. https://doi.org/10.1207/s15327906mbr4001_4
Rovine, Michael J, and Molenaar, Peter C M. "Relating Factor Models for Longitudinal Data to Quasi-Simplex and NARMA Models." Multivariate behavioral research vol. 40,1 (2005): 83-114. doi: https://doi.org/10.1207/s15327906mbr4001_4
Rovine MJ, Molenaar PC. Relating Factor Models for Longitudinal Data to Quasi-Simplex and NARMA Models. Multivariate Behav Res. 2005 Jan 01;40(1):83-114. doi: 10.1207/s15327906mbr4001_4. PMID: 26822274.
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A Structural Modeling Approach to a Multilevel Random Coefficients Model.

Multivariate behavioral research

Rovine MJ, Molenaar PC.
PMID: 26777231
Multivariate Behav Res. 2000 Jan 01;35(1):51-88. doi: 10.1207/S15327906MBR3501_3.

A method for estimating the random coefficients model using covariance structure modeling is presented. This method allows one to estimate both fixed and random effects. A way of translating the general linear mixed model into a structural equation modeling...

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Rovine MJ, Molenaar PC. A Structural Modeling Approach to a Multilevel Random Coefficients Model. Multivariate Behav Res. 2000;35(1):51-88doi: 10.1207/S15327906MBR3501_3.
Rovine, M. J., & Molenaar, P. C. (2000). A Structural Modeling Approach to a Multilevel Random Coefficients Model. Multivariate behavioral research, 35(1), 51-88. https://doi.org/10.1207/S15327906MBR3501_3
Rovine, M J, and Molenaar, P C. "A Structural Modeling Approach to a Multilevel Random Coefficients Model." Multivariate behavioral research vol. 35,1 (2000): 51-88. doi: https://doi.org/10.1207/S15327906MBR3501_3
Rovine MJ, Molenaar PC. A Structural Modeling Approach to a Multilevel Random Coefficients Model. Multivariate Behav Res. 2000 Jan 01;35(1):51-88. doi: 10.1207/S15327906MBR3501_3. PMID: 26777231.
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Showing 1 to 12 of 228 entries