Marieke E. Timmerman

Management Science and Operations Research · 2003–2015

A researcher in the Science corpus: 10 papers; trusts 37 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 29 citations into it
• Statistics and Probability — 27 citations into it; #3,288 of 12,932 by trust here, #3,609 by citations
• Computer Networks and Communications — 22 citations into it; #7,969 of 9,886 by trust here, #4,594 by citations
• Social Psychology — 15 citations into it
• Clinical Psychology — 14 citations into it
• Food Science — 12 citations into it; #176 of 1,700 by trust here, #526 by citations
• Experimental and Cognitive Psychology — 11 citations into it
• Sociology and Political Science — 11 citations into it

Whom Marieke E. Timmerman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Brian O'Connor
2. Klaas Sijtsma
3. Douglas G. Bonett
4. Rasmus Bro
5. S. Reise
6. Jeffrey H. Kahn
7. Hanna Eklöf
8. Wayne F. Velicer
9. P. Peres‐Neto
10. Tenko Raykov

Who trusts Marieke E. Timmerman overall

1. Urbano Lorenzo-Seva
2. James Baglin
3. Thomas Franke
4. Hudson F. Golino
5. Wiebren Jansen
6. Pere J. Ferrando
7. Boele de Raad
8. Josef F. Krems
9. Joost R. Van Ginkel
10. Julien Boccard

Papers from Marieke E. Timmerman's perspective

Ordered by how strongly the researchers Marieke E. Timmerman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Estimating the Dimension of a Model
2. Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
3. In Search of Underlying Dimensions: The Use (and Abuse) of Factor Analysis in Personality and Social Psychology Bulletin
4. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. (Psychological methods)
5. Construct Explication through Factor or Component Analysis: A Review and Evaluation of Alternative Procedures for Determining the Number of Factors or Components
6. Item factor analysis: current approaches and future directions. (Psychological methods)
7. Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis
8. The greatest lower bound to the reliability of a test and the hypothesis of unidimensionality
9. INFERENCE AND MISSING DATA
10. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test (Behavoir research methods, instruments & computers)

Their papers

• Universal Intracultural and Intercultural Dimensions of the Recalled Frequency of Emotional Experience (2006) — 109 citations
• Towards A Pan–Cultural Personality Structure: Input from 11 Psycholexical Studies (2014) — 140 citations
• ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data (2005) — 646 citations
• Dimensionality assessment of ordered polytomous items with parallel analysis. (2011) — 1,424 citations
• Four simultaneous component models for the analysis of multivariate time series from more than one subject to model intraindividual and interindividual differences (2003) — 133 citations
• The psychometric evaluation of a questionnaire to measure attitudes towards inclusive education (2012) — 96 citations
• The Dutch Symptom Checklist-90-Revised: Is the use of the subscales justified? (2015) — 86 citations
• Using Exploratory Factor Analysis to Determine the Dimensionality of Discrete Responses (2015) — 160 citations
• The Hull Method for Selecting the Number of Common Factors (2011) — 493 citations
• The Empirical Verification of an Assignment of Items to Subtests (2008) — 53 citations