Modern robust statistical methods: an easy way to maximize the accuracy and power of your research.

DM Erceg-Hurn, VM Mirosevich - American Psychologist, 2008 - psycnet.apa.org
Classic parametric statistical significance tests, such as analysis of variance and least
squares regression, are widely used by researchers in many disciplines, including …

Why psychologists should by default use Welch's t-test instead of Student's t-test

M Delacre, D Lakens, C Leys - International Review of Social …, 2017 - research.tue.nl
When comparing two independent groups, psychology researchers commonly use Student's
t-Tests. Assumptions of normality and homogeneity of variance underlie this test. More often …

Stability and change in executive function abilities from late adolescence to early adulthood: A longitudinal twin study.

NP Friedman, A Miyake, LJ Altamirano… - Developmental …, 2016 - psycnet.apa.org
Executive functions (EFs)—the higher level cognitive abilities that enable us to control our
own thoughts and actions—continue to develop into early adulthood, yet no longitudinal …

[图书][B] Quantitative research methods in translation and interpreting studies

C Mellinger, T Hanson - 2016 - taylorfrancis.com
Quantitative Research Methods in Translation and Interpreting Studies encompasses all
stages of the research process that include quantitative research methods, from …

[图书][B] Effect sizes for research: Univariate and multivariate applications

RJ Grissom, JJ Kim - 2012 - taylorfrancis.com
Noted for its comprehensive coverage, this greatly expanded new edition now covers the
use of univariate and multivariate effect sizes. Many measures and estimators are reviewed …

Individual differences in executive functions are almost entirely genetic in origin.

NP Friedman, A Miyake, SE Young… - Journal of …, 2008 - psycnet.apa.org
Recent psychological and neuropsychological research suggests that executive functions--
the cognitive control processes that regulate thought and action--are multifaceted and that …

Metrics for evaluating the performance of machine learning based automated valuation models

M Steurer, RJ Hill, N Pfeifer - Journal of Property Research, 2021 - Taylor & Francis
ABSTRACT Automated Valuation Models (AVMs) based on Machine Learning (ML)
algorithms are widely used for predicting house prices. While there is consensus in the …

High-confidence off-policy evaluation

P Thomas, G Theocharous… - Proceedings of the AAAI …, 2015 - ojs.aaai.org
Many reinforcement learning algorithms use trajectories collected from the execution of one
or more policies to propose a new policy. Because execution of a bad policy can be costly or …

[图书][B] The Cambridge handbook of personality psychology

PJ Corr, G Matthews - 2020 - books.google.com
Research on personality psychology is making important contributions to psychological
science and applied psychology. This second edition of The Cambridge Handbook of …

[图书][B] Effect sizes for research: A broad practical approach.

RJ Grissom, JJ Kim - 2005 - psycnet.apa.org
The goal of this book is to inform a broad readership (broad with respect to fields of research
and extent of statistical knowledge) about a variety of measures and estimators of effect …