SEO report of computationalpsychology.org

Computational Psychology Laboratory | Department of Psychology at ...

computationalpsychology.org/

Error! The "meta description" is missing, the page has no summary description!


 Tasks

  • Avoid using deprecated HTML tags.

 SEO

URL

Domain : computationalpsychology.org/

Character length : 28

Title
Computational Psychology Laboratory | Department of Psychology at the University of Central Florida
Keywords (meta keywords)
Good! The website does not use “meta keywords”.
Open Graph Protocol

Error! The website does not use the OG (Open Graph) protocol.

Dublin Core
Dublin Core is not used
Underscores in the URLs
Good! No underscore (_) found in the URLs.
Search engine friendly URLs
Good! The website uses SEO friendly URLs.
Checking the robots.txt file
There is robots.txt file.
https://computationalpsychology.org/robots.txt
User-agentDisallowed for the search engines
*
  • /wp-admin/


 Social

Social Engagement

No info found.

 Content

Doctype
HTML 5
Encoding
Perfect! The character encoding is set: UTF-8.
Language
We have found the language localisation: ”en”.
Title
Computational Psychology Laboratory | Department of Psychology at the University of Central Florida

Character length : 99

Improve! The website address (title) should be between 10 and 70 characters in length.
Text / HTML ratio
Ratio : 18%

Acceptable! The text / code ratio is between 15 and 25 percent.
Headings
H1H2H3H4H5H6
316006
Heading structure in the source code
  • <H1> Computational Psychology Laboratory
  • <H2> Department of Psychology at the University of Central Florida
  • <H3> Menu
  • <H1> Welcome!
  • <H6> In today’s new era of information technology, we are constantly generating different varieties of data at an unprecedented rate; yet how to effectively turn such massive data into useful information and meaningful wisdom is a challenge. This is especially true for psychologists as our goal is to understand, predict, and intervene behaviors in the environment of overwhelmingly large amount of information.
  • <H6> Our Laboratory embraces this era of challenge and excitement. Specifically,  our Laboratory seeks to derive insightful wisdom to advance our current understanding of behaviors by harnessing the massive data with state-of-the-art Big Data techniques along with a variety of analytical methods, including social network analysis, applied psychometrics, text analysis, etc.
  • <H6> Our research topics in the laboratory include turnover, work stress, employee engagement, leadership and team process, emotional intelligence, personality, and personnel selection and assessment that are surround and related to people analytics. Our daily basis analytical tools are R and Python, we also develop computer programs in C++ and analyze data with MPlus.
  • <H1> Lab News & Events
  • <H6> Dr. Wang’s new paper received The Academy of Management Best Convention Paper Award, in addition to The Academy of Management Best Paper Proceeding Award (August, 2016)
  • <H6> Our newly published Big Data research on work stress and emotion on Twitter is reported in
  • <H6> The measurement equivalence study on emotional intelligence is reported in
  • <H3> Search
  • <H3> Web Visitors Stats
  • <H3> Science News
  • <H3> AMJ Recent
  • <H3> JAP Articles
Word cloud
  • data7
  • turnover5
  • social5
  • laboratory5
  • information4
  • psychology4
  • research4
  • work4
  • stress3
  • study3
  • it’s3
  • big3
  • psychometrics3
  • new3
  • paper3
  • intelligence3
  • applied3
  • news3
  • people3
  • emotional3
  • emotions3
  • timing2
  • effect2
  • diagnosticity2
  • computational2
  • large2
  • source2
  • behaviors2
  • recruitment2
  • analytical2
  • award2
  • best2
  • management2
  • enhance2
  • analysis2
  • selection2
  • academy2
  • network2
  • contagion2
  • theory2
  • publications2
  • resources2
  • applicants’2
  • campion2
  • networks2
  • home2
  • face2
  • tweets2
  • massive2
  • human2
  • occupation-specific2
  • wisdom2
  • challenge2
  • cosnews2
  • capital2
  • era2
  • reported2
Keyword matrix
wordtitledescriptionsheading
data
turnover
social
laboratory
information
psychology
Two Word cloud
  • resources contact2
  • our laboratory2
  • big data2
  • massive data2
  • emotional intelligence2
  • networks applied2
Three Word cloud
  • diagnosticity to enhance applicants’2
  • publications resources contact2
  • research social networks2
404 Page
The website has a 404 error page.
Flash content
Good! The website does not have any flash contents.
Frame
Good! The website does not use iFrame solutions.
Images
We found 5 images on this web page.

Alternate attributes for the following 2 images are missing. Search engines use "alt" tags to understand image content efficiently. We strongly recommend fixing this issue.

 Readability

Flesch–Kincaid Grade Level
7.70
Flesch Reading Ease
52.10
Coleman Liau Index
12.00
Automated Readability Index (ARI)
4.70
Dale–Chall Readability
8.00
SMOG Index
10.00
Spache Readibility
5.00
Number of letters
5321
Number of words
1099
Number of sentences
163
Average words per sentences
7
Number of syllables
1921
Syllables in words
1839
Average syllables in words
1.75
Number of words in first three syllables
229
Percentage of word / syllables
20.84
Words not in Dale-Chall easy-word list
538
Words not in Spache easy-word list
284

 Technologies

Mobile optimization
This website is optimal for mobile devices!
Deprecated HTML elements
Good! No deprecated HTML tags are detected.
Redirection (www / not www)
Good! The web address is accessible in only one version. The www version is redirected to the version without www.
Deprecated HTML elements
Good! No deprecated HTML tags are detected.
Printability
Suggestion! Unfortunately, no printer-friendly CSS found.
Meta Tag (viewport tag, mobile devices)
Error! The meta tag named viewport is missing.

 Speed test

Server response time
The server response time is not fast enough: 0.64 seconds have passed until the page started to load.
Loading time
2,621 ms
Table layout
Good! No nested tables found.
Number of HTTP resources
24
Number of source domains
8
Render blocking resources
The elements below are blocking the “above the fold” rendering.
List of render blocking javascript files
  • http://computationalpsychology.org/.. /jquery.js?ver=1.11.1
  • http://computationalpsychology.org/.. /jquery-migrate.min.js?ver=1.2.1
  • http://computationalpsychology.org/.. /srr-js.js?ver=4.1.4
  • http://computationalpsychology.org/.. /spacious-custom.js?ver=4.1.4
List of render blocking css files
  • http://computationalpsychology.org/.. /srr-css.css?ver=4.1.4
  • http://computationalpsychology.org/.. /main.min.css?ver=2.2.9.3
  • http://computationalpsychology.org/.. /style.css?ver=4.1.4
  • http://fonts.googleapis.com/css?family=Lato&ver=4.1.4
  • http://computationalpsychology.org/.. /easy-columns.css

 Speed test – Javascript

Javascript
Good! Just a few javascript files are detected on the website.
  • http://computationalpsychology.org/wp-includes/js/jquery/jquery.js?ver=1.11.1
  • http://computationalpsychology.org/wp-includes/js/jquery/jquery-migrate.min.js?ver=1.2.1
  • http://computationalpsychology.org/wp-content/plugins/super-rss-reader/public/srr-js.js?ver=4.1.4
  • http://computationalpsychology.org/wp-content/themes/spacious/js/spacious-custom.js?ver=4.1.4
  • http://computationalpsychology.org/wp-content/themes/spacious/js/navigation.js?ver=4.1.4
File size of all javascript files combined
304.60KB
Javascript minifying
You can save 673B (30% compression) on the analysed URL by minifying the javascript files.

 Speed test – CSS

CSS
Good! Just a few CSS files are used on this website.
  • http://computationalpsychology.org/wp-content/plugins/super-rss-reader/public/srr-css.css?ver=4.1.4
  • http://computationalpsychology.org/wp-content/plugins/wpclef/assets/dist/css/main.min.css?ver=2.2.9.3
  • http://computationalpsychology.org/wp-content/themes/spacious/style.css?ver=4.1.4
  • http://computationalpsychology.org/wp-content/plugins/easy-columns/css/easy-columns.css
File size of all css files combined
62.25KB
CSS minifying
You can save 2.9KB (27% compression) on the analysed URL by minifying the CSS files.

 Speed test – Compression

Uncompressed size of the of the HTML
20.96KB
Gzip compression
Your site uses compression.

 Speed test – Browser cache

Number of static resources (image, JS, CSS)
9
Browser cache
The browser cache is not set correctly for all elements.
URLDuration
http://clustrmaps.com/generated_content/backs/bg-w_300.pngExpiry time is not specified
http://computationalpsychology.org/.. /easy-columns.cssExpiry time is not specified
http://computationalpsychology.org/.. /genericons-regular-webfont.woffExpiry time is not specified
http://computationalpsychology.org/.. /AOM-HR-Research-Best-Convention-Paper.jp...Expiry time is not specified
http://computationalpsychology.org/.. /ad21-300x2572.jpgExpiry time is not specified
http://computationalpsychology.org/.. /cropped-DSC_0284.jpgExpiry time is not specified

 Speed test – Images

File size of all images combined
113.49KB
Image optimisation
You can save 47.1KB (43% compression) by optimising the images below:

 Website security

IP
160.153.91.129
External hidden links
Good! No hidden external links found
Looking for eval()
Good! No eval(bas64_decode()) scripts are found
Checking for XSS vulnerability
No XSS vulnerability found
Email encryption
Good! We have not found any unencrypted email addresses.

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 Icons

Favicon
Good! The website uses favicon.

 Order of Heading elements on mobile by position

  • H1 : Computational Psychology Laboratory , ( 30px from top )
  • H2 : Department of Psychology at the University of Central Florida, ( 157px from top )
  • H3 : Menu, ( 225px from top )
  • H1 : Welcome!, ( 412px from top )
  • H6 : In today’s new era of information technology, we are constantly generating different varieties of data at an unprecedented rate; yet how to effectively turn such massive data into useful information and meaningful wisdom is a challenge. This is especially true for psychologists as our goal is to understand, predict, and intervene behaviors in the environment of overwhelmingly large amount of information., ( 466px from top )
  • H6 : Our Laboratory embraces this era of challenge and excitement. Specifically,  our Laboratory seeks to derive insightful wisdom to advance our current understanding of behaviors by harnessing the massive data with state-of-the-art Big Data techniques along with a variety of analytical methods, including social network analysis, applied psychometrics, text analysis, etc., ( 809px from top )
  • H6 : Our research topics in the laboratory include turnover, work stress, employee engagement, leadership and team process, emotional intelligence, personality, and personnel selection and assessment that are surround and related to people analytics. Our daily basis analytical tools are R and Python, we also develop computer programs in C++ and analyze data with MPlus., ( 1127px from top )

 Typos

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