It takes the average reader 7 hours and 23 minutes to read Machine Learning for Social and Behavioral Research by Ross Jacobucci
Assuming a reading speed of 250 words per minute. Learn more
Today's social and behavioral researchers increasingly need to know: "What do I do with all this data?" This book provides the skills needed to analyze and report large, complex data sets using machine learning tools, and to understand published machine learning articles. Techniques are demonstrated using actual data (Big Five Inventory, early childhood learning, and more), with a focus on the interplay of statistical algorithm, data, and theory. The identification of heterogeneity, measurement error, regularization, and decision trees are also emphasized. The book covers basic principles as well as a range of methods for analyzing univariate and multivariate data (factor analysis, structural equation models, and mixed-effects models). Analysis of text and social network data is also addressed. End-of-chapter "Computational Time and Resources" sections include discussions of key R packages; the companion website provides R programming scripts and data for the book's examples.
Machine Learning for Social and Behavioral Research by Ross Jacobucci is 435 pages long, and a total of 110,925 words.
This makes it 147% the length of the average book. It also has 136% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 6 minutes to read Machine Learning for Social and Behavioral Research aloud.
Machine Learning for Social and Behavioral Research is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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