| Title |
The role of imagery-related properties in picture naming: A newly standardized set of 360 pictures for Japanese
|
|---|---|
| Published in |
Behavior Research Methods, January 2012
|
| DOI | 10.3758/s13428-011-0176-7 |
| Pubmed ID | |
| Authors |
Takehiko Nishimoto, Takashi Ueda, Kaori Miyawaki, Yuko Une, Masaru Takahashi |
| Abstract |
Picture naming was investigated primarily to determine its dependence on certain imagery-related variables, with a secondary aim of developing a new set of Japanese norms for 360 pictures. Pictures refined from the original Nishimoto, Miyawaki, Ueda, Une, and Takahashi (Behavior Research Methods 37:398-416, 2005) set were used. Naming behaviors were measured using four imagery-related measures (imageability, vividness, image agreement, and image variability) and four conventional measures (naming time, name agreement, familiarity, and age of acquisition), as well as a number of other measures (17 total). A simultaneous multiple regression analysis performed on naming times showed that the most reliable predictor was H, a measure of name diversity; two image-related measures (image agreement and vividness) and age of acquisition also contributed substantially to the prediction of naming times. The accuracy of picture naming (measured as name agreement) was predicted by vividness, age of acquisition, familiarity, and image agreement. This suggests that certain processes involving mental imagery play a role in picture naming. The full set of norms and pictures may be downloaded from http://www.psychonomic.org/archive/ or along with the article from http://www.springerlink.com . |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 48 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 23% |
| Student > Ph. D. Student | 11 | 21% |
| Student > Bachelor | 7 | 13% |
| Student > Master | 5 | 9% |
| Student > Postgraduate | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 28 | 53% |
| Linguistics | 8 | 15% |
| Agricultural and Biological Sciences | 2 | 4% |
| Neuroscience | 2 | 4% |
| Sports and Recreations | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 9 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 September 2016.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from Behavior Research Methods
#1,469
of 2,525 outputs
Outputs of similar age
#160,430
of 246,786 outputs
Outputs of similar age from Behavior Research Methods
#1
of 6 outputs
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