Linda Reichwein Zientek

Statistics and Probability · 2006–2012

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 22 citations into it; #12,191 of 12,932 by trust here, #7,508 by citations
• Computer Networks and Communications — 7 citations into it
• Management Science and Operations Research — 7 citations into it; #4,817 of 11,946 by trust here, #6,563 by citations
• Food Science — 5 citations into it

Whom Linda Reichwein Zientek trusts overall

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

1. B. Thompson
2. M. Tatsuoka
3. Richard D. Gonzalez
4. Sara J. Finney
5. J. Graham
6. Tapabrata Maiti
7. R. Steinmayr
8. R. Henson
9. Birgit Spinath
10. K. Wentzel

Who trusts Linda Reichwein Zientek overall

1. Kim F. Nimon
2. Amanda Kraha
3. Ayana N. Kee
4. B. Thompson
5. Heather J. Turner
6. T. Vacha-haase
7. F. Oswald
8. Laura L. Nathans

Papers from Linda Reichwein Zientek's perspective

Ordered by how strongly the researchers Linda Reichwein Zientek trusts endorse each paper. Same corpus, a different order for every researcher.

1. Applied Multivariate Statistics for the Social Sciences
2. Multiple regression in psychological research and practice.
3. A Heuristic Method for Estimating the Relative Weight of Predictor Variables in Multiple Regression (Multivariate Behavioral Research)
4. A Primer on the Understanding, Use, and Calculation of Confidence Intervals that are Based on Central and Noncentral Distributions
5. Applied multivariate statistics for the social sciences, 4th ed.
6. Book Review: Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications
7. MULTIVARIATE ANALYSIS OF VARIANCE (Applied Univariate, Bivariate, and Multivariate Statistics)
8. The General Linear Model as Structural Equation Modeling
9. Matrix Summaries Improve Research Reports: Secondary Analyses Using Published Literature
10. Commonality Analysis: Partitioning Variance to Facilitate Better Understanding of Data

Their papers

• Matrix Summaries Improve Research Reports: Secondary Analyses Using Published Literature (2009) — 98 citations
• Commonality Analysis: Partitioning Variance to Facilitate Better Understanding of Data (2006) — 102 citations
• Tools to Support Interpreting Multiple Regression in the Face of Multicollinearity (2012) — 344 citations
• Preparing High-Quality Teachers: Views From the Classroom (2007) — 95 citations