Polynomial regression analysis and response surface methodology in leadership research

The Leadership Quarterly ◽

10.1016/j.leaqua.2021.101592 ◽

2022 ◽

pp. 101592

Author(s):

Chou-Yu Tsai ◽

Jayoung Kim ◽

Fuhe Jin ◽

Minjong Jun ◽

Minyoung Cheong ◽

...

Keyword(s):

Response Surface Methodology ◽

Regression Analysis ◽

Response Surface ◽

Polynomial Regression ◽

Polynomial Regression Analysis ◽

Leadership Research

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Comparison between Full-timers and Part-timers of the Effect of Person–Organization Fit on Working Attitude: A Hypothesis-Generating Case Study Using Polynomial Regression Analysis with Response Surface Methodology

Proceedings of The International Conference on Research in Human Resource Management ◽

10.33422/icrhrm.2019.03.106 ◽

2019 ◽

Author(s):

Norihiko Ogawa ◽

Daisuke Osato ◽

Kiyoshi Takahashi

Keyword(s):

Response Surface Methodology ◽

Regression Analysis ◽

Response Surface ◽

Polynomial Regression ◽

Polynomial Regression Analysis ◽

Person Organization Fit

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Using Polynomial Regression Analysis and Response Surface Methodology to Make a Stronger Case for Value Congruence in Place Marketing

Psychology and Marketing ◽

10.1002/mar.20686 ◽

2014 ◽

Vol 31 (3) ◽

pp. 184-202 ◽

Author(s):

Sebastian Zenker ◽

Tobias Gollan ◽

Niels Van Quaquebeke

Keyword(s):

Response Surface Methodology ◽

Regression Analysis ◽

Response Surface ◽

Polynomial Regression ◽

Value Congruence ◽

Place Marketing ◽

Polynomial Regression Analysis

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It’s complicated: explaining the relationship between trust, distrust, and ambivalence in online transaction relationships using polynomial regression analysis and response surface analysis

European Journal of Information Systems ◽

10.1057/s41303-016-0027-9 ◽

2017 ◽

Vol 26 (4) ◽

pp. 379-413 ◽

Author(s):

Gregory D. Moody ◽

Paul Benjamin Lowry ◽

Dennis F. Galletta

Keyword(s):

Regression Analysis ◽

Response Surface ◽

Surface Analysis ◽

Polynomial Regression ◽

Response Surface Analysis ◽

Polynomial Regression Analysis ◽

The Relationship

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Polynomial Regression and Response Surface Methodology in Leadership Research

Academy of Management Proceedings ◽

10.5465/ambpp.2021.14262abstract ◽

2021 ◽

Vol 2021 (1) ◽

pp. 14262

Author(s):

Chou-Yu Tsai ◽

Jayoung Kim ◽

FUHE JIN ◽

Min Jong Jun ◽

Minyoung Cheong

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Polynomial Regression ◽

Leadership Research

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Some practical advice on polynomial regression analysis from blocked response surface designs

Communication in Statistics- Theory and Methods ◽

10.1080/03610920008832601 ◽

2000 ◽

Vol 29 (9-10) ◽

pp. 2157-2180 ◽

Author(s):

Steven G. Gilmour ◽

Luzia A. Trinca

Keyword(s):

Regression Analysis ◽

Response Surface ◽

Polynomial Regression ◽

Practical Advice ◽

Polynomial Regression Analysis ◽

Response Surface Designs

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Alternatives to Difference Scores: Polynomial Regression and Response Surface Methodology

PsycEXTRA Dataset ◽

10.1037/e576892011-020 ◽

2003 ◽

Author(s):

Jeffrey R. Edwards

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Polynomial Regression ◽

Difference Scores

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A Method for Improving the Accuracy of Polynomial Regression Analysis

Journal of Quality Technology ◽

10.1080/00224065.1971.11980487 ◽

1971 ◽

Vol 3 (4) ◽

pp. 149-155 ◽

Author(s):

Alan F. Dutka ◽

Fred J. Ewens

Keyword(s):

Regression Analysis ◽

Polynomial Regression ◽

Polynomial Regression Analysis

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INDICATORS OF THE FIRST LEVEL IN POLYNOMIAL REGRESSION ANALYSIS

Proceedings of Irkutsk State Technical University ◽

10.21285/1814-3520-2018-5-97-104 ◽

2018 ◽

Vol 22 (5) ◽

pp. 97-104

Author(s):

Alexander V. Petrov ◽

Keyword(s):

Regression Analysis ◽

Polynomial Regression ◽

Polynomial Regression Analysis

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An Assessment of Reaction Time Development in Females Using Polynomial Regression Analysis

Human Movement ◽

10.2478/humo-2014-0007 ◽

2014 ◽

Vol 15 (2) ◽

Author(s):

Janusz Jaworski ◽

Grażyna Kosiba ◽

Eligiusz Madejski

Keyword(s):

Regression Analysis ◽

Reaction Time ◽

Polynomial Regression ◽

Time Development ◽

Polynomial Regression Analysis

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Computer-Aided Calibration Methodology for Spark Advance Control Using Engine Cycle Simulation and Polynomial Regression Analysis

10.4271/2007-01-4023 ◽

2007 ◽

Author(s):

Kunihiko Suzuki ◽

Mamoru Nemoto ◽

Kenichi Machida

Keyword(s):

Regression Analysis ◽

Polynomial Regression ◽

Polynomial Regression Analysis ◽

Cycle Simulation ◽

Computer Aided ◽

Engine Cycle ◽

Spark Advance Control

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