Latent variable models
John C. Loehlin
Reading Time
at 250 WPM6h 30m
The average reader, reading at a speed of 250 WPM, would take 6h 30m to read Latent variable models.
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13
days at 30 min/day
390
total minutes
Latent variable models
Published
2016
Publisher
Taylor & Francis Group
Pages
390
ISBN-13
9781317285267
Subjects
Latent structure analysis
Latent structure analysis
Latent structure analysis
Analyzing qualitative/categorical data
Latent class and latent transition analysis
Applied latent class analysis
Frequently Asked Questions
How many pages are in Latent variable models?
This edition of Latent variable models has approximately 390 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Latent variable models?
For most readers, Latent variable models typically takes between 8h 8m and 5h 25m to complete. This is based on the book's length of approximately 97,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 6h 30m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 13 days • Estimated word count: 97,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Latent variable models?
The estimated word count for Latent variable models is approximately 97,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Latent variable models?
Latent variable models was written by John C. Loehlin.
When was Latent variable models published?
The publication date for this specific edition is 2016. The original work may have been published on a different date.