Statistical analysis
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Exploratory Factor Analysis: A Guide to Best Practice Open
Exploratory factor analysis (EFA) is a multivariate statistical method that has become a fundamental tool in the development and validation of psychological theories and measurements. However, researchers must make several thoughtful and e…
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Latent Class Analysis: A Guide to Best Practice Open
Latent class analysis (LCA) is a statistical procedure used to identify qualitatively different subgroups within populations who often share certain outward characteristics. The assumption underlying LCA is that membership in unobserved gr…
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Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data Open
The geographic spread of 2019 novel coronavirus (COVID-19) infections from the epicenter of Wuhan, China, has provided an opportunity to study the natural history of the recently emerged virus. Using publicly available event-date data from…
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Statistical and Machine Learning forecasting methods: Concerns and ways forward Open
Machine Learning (ML) methods have been proposed in the academic literature as alternatives to statistical ones for time series forecasting. Yet, scant evidence is available about their relative performance in terms of accuracy and computa…
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The Assistat Software Version 7.7 and its use in the analysis of experimental data Open
Statistical programs are essential tools for those who deal with scientific research and need to analyze experimental data. In agriculture, there are often uncontrolled factors, which determine the necessity of statistical analyses of the …
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Testing and Controlling for Common Method Variance: A Review of Available Methods Open
Several studies have debated over the prevalence of Common Method Variance (CMV) in organizational research.This paper highlights various procedural and statistical remedies to assess and control common method variance in any organizationa…
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The JASP guidelines for conducting and reporting a Bayesian analysis Open
Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply Bayesian procedures and interpret the results. Here we offer specific guidelines for …
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Network analysis: a brief overview and tutorial Open
Objective : The present paper presents a brief overview on network analysis as a statistical approach for health psychology researchers. Networks comprise graphical representations of the relationships (edges) between variables (nodes). Ne…
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<b>JASP</b>: Graphical Statistical Software for Common Statistical Designs Open
This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existi…
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The State of Working America Open
The abstract, table of contents, and first twenty-five pages are published with permission from the Cornell University Press. For ordering information, please visit the Cornell University Press at http://www.cornellpress.cornell.edu/.
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Common pitfalls in statistical analysis: Logistic regression Open
Logistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dichotomous). In this article, we discuss logistic …
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Power analysis for random‐effects meta‐analysis Open
One of the reasons for the popularity of meta‐analysis is the notion that these analyses will possess more power to detect effects than individual studies. This is inevitably the case under a fixed‐effect model. However, the inclusion of t…
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Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment Open
Futurists have anticipated that novel autonomous technologies, embedded with machine learning (ML), will substantially influence healthcare. ML is focused on making predictions as accurate as possible, while traditional statistical models …
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Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0) Open
In this paper I present new methods for bias adjustment and statistical downscaling that are tailored to the requirements of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP). In comparison to their predecessors, the new met…
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Understanding one-way ANOVA using conceptual figures Open
Analysis of variance (ANOVA) is one of the most frequently used statistical methods in medical research. The need for ANOVA arises from the error of alpha level inflation, which increases Type 1 error probability (false positive) and is ca…
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A Statistical Significance Test for Necessary Condition Analysis Open
In this article, we present a statistical significance test for necessary conditions. This is an elaboration of necessary condition analysis (NCA), which is a data analysis approach that estimates the necessity effect size of a condition X…
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Effects of flipping the classroom on learning outcomes and satisfaction: A meta-analysis Open
In a flipped classroom, students study instructional material before class and apply this material during class. To provide a statistical synthesis of current research on effects of flipped classrooms, we conducted meta-analyses that inclu…
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OASIS 2: online application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research Open
Online application for survival analysis (OASIS) has served as a popular and convenient platform for the statistical analysis of various survival data, particularly in the field of aging research. With the recent advances in the fields of …
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P value interpretations and considerations Open
Application and interpretation of statistical evaluation of relationships is a necessary element in biomedical research. Statistical analyses rely on P value to demonstrate relationships. The traditional level of significance, P0.05 for co…
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The P Value and Statistical Significance: Misunderstandings, Explanations, Challenges, and Alternatives Open
The calculation of a P value in research and especially the use of a threshold to declare the statistical significance of the P value have both been challenged in recent years. There are at least two important reasons for this challenge: r…
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Common pitfalls in statistical analysis: Measures of agreement Open
Agreement between measurements refers to the degree of concordance between two (or more) sets of measurements. Statistical methods to test agreement are used to assess inter-rater variability or to decide whether one technique for measurin…
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Basic statistical tools in research and data analysis Open
Statistical methods involved in carrying out a study include planning, designing, collecting data, analysing, drawing meaningful interpretation and reporting of the research findings. The statistical analysis gives meaning to the meaningle…
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Assessment of sources of heavy metals in soil and dust at children's playgrounds in Beijing using GIS and multivariate statistical analysis Open
Potentially toxic elements such as heavy metals are ubiquitous in the environment. Risk-based environmental management relies upon identifying pollution sources, pathways, and the exposed population. In a Chinese urban setting, many reside…
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PLS-SEM STATISTICAL PROGRAMS: A REVIEW Open
Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used methods of multivariate data analysis. Although previous research has discussed different aspects of PLS-SEM, little has been done to explain the a…
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Jamovi: An Easy to Use Statistical Software for the Social Scientists Open
This report aims to introduce the fundamental features of the free Jamovi software to academics in the field of educational measurement for use at undergraduate and graduate level research. As such, after introducing the R based interface …
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Estimating global, regional, and national daily and cumulative infections with SARS-CoV-2 through Nov 14, 2021: a statistical analysis Open
Bill & Melinda Gates Foundation, J Stanton, T Gillespie, and J and E Nordstrom.
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Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis Open
During the conduct of clinical trials, it is not uncommon to have protocol violations or inability to assess outcomes. This article in our series on common pitfalls in statistical analysis explains the complexities of analyzing results fro…
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Statistical Studies of Fading in Underwater Wireless Optical Channels in the Presence of Air Bubble, Temperature, and Salinity Random Variations Open
Optical signal propagation through underwater channels is affected by three main degrading phenomena, namely, absorption, scattering, and fading. In this paper, we experimentally study the statistical distribution of intensity fluctuations…
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A FRAMEWORK FOR THINKING ABOUT INFORMAL STATISTICAL INFERENCE Open
Informal inferential reasoning has shown some promise in developing students’ deeper understanding of statistical processes. This paper presents a framework to think about three key principles of informal inference – generalizations ‘beyon…
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Methods for testing statistical differences between groups in medical research: statistical standard and guideline of Life Cycle Committee Open
In medical research, when independent variables are categorical (i.e., dividing groups), statistical analysis is often required. This situation mostly occurs on randomized controlled trials and observational studies that have multiple pati…