The R^2 Statistic in Linear Regression

The R^2 Statistic in Linear Regression

What is the R2 statistic? What does the value of R2 tell us about the change in the dependent variable? The R2 statistic represents the proportion of the variance in the dependent variable that stems from the change in the independent variable. When using the R2 statistic to quantify the association between independent and dependent variables, it’s important to keep in mind that the R2 in linear regression only applies to linear relationships. It’s possible for two variables to be related, just not in a linear way. Here’s a look at the R2 statistic in linear regression.

What Is Selection Bias in Research?—Explained

What Is Selection Bias in Research?—Explained

What is selection bias in research methodology? How does selection bias affect research findings?  Selection bias occurs when individuals chosen to partake in a study are not representative of the population of interest. Selection bias can be subtle—if researchers aren’t cognizant of selection bias when developing data collection methods, the fact that a sample is not truly random might go unnoticed.  Here’s why it’s important to watch out for selection bias when collecting data for the purposes of research.

How Is Social Science Data Collected? Big Data!

How Is Social Science Data Collected? Big Data!

How can we use big data to study social science? How does data give us more insight into the social sciences? Through search data, researchers can discover psychological and sociological information that traditional surveys couldn’t provide. Seth Stephens-Davidowitz, the author of Everybody Lies, uses Freud’s theories of sexuality as an example. Read how to receive social science data with the help of big data.

The Key to Getting the Most Honest Information Is Big Data

The Key to Getting the Most Honest Information Is Big Data

Why does big data offer more honest information? How can big data spark hope? In Everybody Lies, Seth Stephens-Davidowitz says that big data offers more honest information than we’ve ever had before. This information can be found through Google search results that reveal truths about humanity. Learn why Stephens-Davidowitz believes this information can be used for good, and why others say differently.

Statistical Measures of Central Tendency Explained

Statistical Measures of Central Tendency Explained

What is central tendency in statistics? What are the different ways to measure central tendency? Central tendency is a descriptive statistic that represents the middle of a data set. There are three main statistical measures of central tendency: the mean, median, and mode. Each of these measures describes a slightly different central position within a data set. Let’s examine the three statistical measures of central tendency.

Recall Bias in Research: Self-Reporting Issues

Recall Bias in Research: Self-Reporting Issues

What is recall bias in research methodology? Why is self-reporting unreliable as a data-collection method? Recall bias is a major problem in studies where data is collected through self-reporting. Because human memory is not like a tape recorder, our recollection of the past is unreliable. There are significant psychological influences on how a memory is recollected (e.g. the personal meaning we’ve assigned to the events). Keep reading to learn about recall bias.

2 Benefits of Data Science: Why Data Matters

2 Benefits of Data Science: Why Data Matters

What benefits does data science have that human intuition doesn’t? Why is data an extension of our intuition? In Everybody Lies, Seth Stephens-Davidowitz looks at the bigger picture of what big data is and why we should care about it. Though data science might seem arcane, Stephens-Davidowitz argues that it’s an extension of our natural intuition. Let’s look at the major benefits of data science that natural intuition doesn’t have.

What People Search on Google: Confessions

What People Search on Google: Confessions

What do people typically search on Google? What do a person’s Google searches say about them? Google searches and other internet activity reveal truths that might never come out in traditional data-gathering methods like surveys. In Everybody Lies, Seth Stephens-Davidowitz claims that people research topics that they would lie about in real life, such as sexuality, prejudice, and child abuse. Keep reading to learn what people search on Google and why they won’t discuss it in real life.

What Is Regression Analysis in Statistics?

What Is Regression Analysis in Statistics?

What is regression analysis in statistics? What can a regression test tell us about the relationship between two variables? Regression analysis is an inferential statistic that can help us infer relationships between variables that we wouldn’t otherwise be able to study. Regression analysis quantifies the direction, magnitude, and significance of an independent variable’s relationship to a dependent variable. Here’s a look at what inferential analysis does and the statistics involved.