Factorial Analysis of Variance: Between-Within

Factorial ANOVA
Between-within design
Comparing means

This blog post explores Factorial Analysis of Variance (ANOVA) in a between-within design, covering key assumptions, equations, and calculations. Readers will learn about effect size measures, post-hoc analysis options, and non-parametric alternatives. The post also provides steps to perform Factorial ANOVA using popular statistical software packages like jamovi, SPSS, and R Studio, and guidance on reporting results in APA style, enabling readers to effectively apply this statistical method in real-world research settings.

May 1, 2023
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Factorial Analysis of Variance: Between-Between

Factorial ANOVA
Between-between design
Effect size
Post-hoc analysis

This blog post explores Factorial Analysis of Variance (ANOVA) in a between-between design, covering key assumptions, equations, and calculations. Readers will learn about effect size measures, post-hoc analysis options, and non-parametric alternatives. The post also provides steps to perform Factorial ANOVA using popular statistical software packages like jamovi, SPSS, and R Studio, and guidance on reporting results in APA style, enabling readers to effectively apply this statistical method in real-world research settings.

Apr 23, 2023
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Repeated-Measures ANOVA

Repeated-measures ANOVA
Friedman test
Assumptions
Effect size
Post hoc analysis
Kinesiology research

In this blog post, we will explore one-way repeated-measures ANOVA, its assumptions, and the non-parametric alternative, the Friedman test. We will guide you through performing these analyses in R, jamovi, and SPSS, while demonstrating how to interpret and report the results, including post hoc analysis and effect sizes. By the end of this post, you will be equipped with the knowledge and skills to confidently apply these techniques to your own research in the field of kinesiology.

Apr 16, 2023
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One-Way ANOVA

Biostatistics
ANOVA
Data Analysis
Interpretation

This blog post covers the basics of conducting and interpreting a one-way ANOVA for kinesiology research using R, SPSS, and jamovi..

Apr 8, 2023
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The Student’s t-test

Student's t-test
t-distribution
Independent samples t-test
Paired samples t-test
Effect size (Cohen's d)

This blog post provides a comprehensive guide to the Student’s t-test, covering its history, types, assumptions, applications, effect size interpretation, alternative tests, real-world examples, and software implementation, helping readers gain a thorough understanding of this fundamental statistical method.

Apr 1, 2023
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Bivariate Correlation Analysis in Kinesiology Research

Correlation Coefficient
Pearson Correlation
Spearman Correlation
Bivariate Analysis
Linear Relationship
Strength-of-Association
Significance Testing

This blog post provides an overview of correlation analysis in Kinesiology research, including types of coefficients, their strengths and limitations, and considerations for conducting bivariate correlation analysis.

Mar 8, 2023
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Fundamentals of Inferential Statistics

inferential statistics
probability distributions
hypothesis testing
sampling error
confidence intervals
type I error
type II error

This topic covers fundamental concepts in inferential statistics, including estimation, hypothesis testing, sampling error, levels of confidence, type I and type II errors, one-tailed and two-tailed tests, and probability distributions. These concepts are essential for conducting research in kinesiology and other scientific fields.

Feb 25, 2023
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Descriptive Statistics

mean
median
mode
variance
standard deviation
interquartile range
range
coefficient of variation

This post aims to provide master-level students in kinesiology with a strong foundation in descriptive statistics, including measures of central tendency and variability, the coefficient of variation, and tips for presenting and interpreting results.

Feb 18, 2023
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Understanding the Role of Statistics in Kinesiology

research
internal/external validity
dependent/independent variables
data analyses
measurement

Statistics is a critical component of Kinesiology, providing researchers with the tools to collect, analyze, and interpret data related to human movement and performance.

Jan 11, 2023
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Displaying Data

data
graph
table
descriptive statistics

Displaying data effectively is important in order to communicate information clearly and accurately, and there are many different types of data displays, such as bar charts, line graphs, and scatter plots, that can be used for this purpose.

Jan 1, 2023
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Percentiles

statistics
percentile
percentile rank

How to use percentiles to analyze and compare the distribution of data, and make informed decisions based on the results.

Dec 30, 2022
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