This research aimed to analyse individual differences in recognition of semantic memory by means of a statistical modelling approach, because some difficulties arise when traditional experimental designs and statistical hypotheses tests are used. In this field, statistical modelling provides the possibility of obtaining a data-fitted model for each experimental condition. One hundred and thirty five adult students, both males and females, agreed to participate in our study and were classified as high, middle and low extraverts. Sentences with a high semantic organisation were used as material to be recognised. A statistical modelling process was then applied using the lEM program. Differences in recognition memory for hits were found between middle and low extraversion levels, as revealed by the different data-fitted models.
Quality & Quantity – Springer Journals
Published: Mar 14, 2007
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera