A path-analytic investigation of the determinants of career withdrawal intentions of engineers: some HRM issues arising in a professional labour market in Singapore

1993 ◽  
Vol 4 (1) ◽  
pp. 213-230 ◽  
Author(s):  
Samuel Aryee
Keyword(s):  
Labour Market ◽  
Analytic Investigation ◽  
Path Analytic

Egoistic, altruistic, and biospheric environmental concerns: A path analytic investigation of their determinants

2010 ◽  
Vol 51 (2) ◽  
pp. 139-145 ◽  
Author(s):  
VIREN SWAMI ◽  
TOMAS CHAMORRO-PREMUZIC ◽  
ROSEMARY SNELGAR ◽  
ADRIAN FURNHAM
Keyword(s):  
Environmental Concerns ◽  
Analytic Investigation ◽  
Path Analytic

A Path Analytic Investigation of Teleworking Challenges During the Covid-19 Pandemic in Qatar

2021 ◽  
Author(s):  
Rima Charbaji El-Kassem ◽  
Noora Lari ◽  
Maryam F. Al-Thani ◽  
Buthaina Al-Khelaifi
Keyword(s):  
Analytic Investigation ◽  
Path Analytic

The lonely road to paranoia. A path-analytic investigation of loneliness and paranoia

2017 ◽  
Vol 74 ◽  
pp. 35-43 ◽  
Author(s):  
Fabian Lamster ◽  
Tania M. Lincoln ◽  
Clara M. Nittel ◽  
Winfried Rief ◽  
Stephanie Mehl
Keyword(s):  
Analytic Investigation ◽  
Path Analytic

A Meta-Analytic Investigation of the Relationship Between Scale-Item Length, Label Format, and Reliability

Methodology ◽  
2016 ◽  
Vol 12 (3) ◽  
pp. 89-96 ◽  
Author(s):  
Tyler Hamby ◽  
Robert A. Peterson
Keyword(s):  
Item Response ◽  
Big Five ◽  
Rating Scales ◽  
Category Label ◽  
Response Category ◽  
Analytic Investigation ◽  
Scale Item ◽  
Item Characteristics ◽  
The Relationship ◽  
Reliability Coefficients

Abstract. Using two meta-analytic datasets, we investigated the effect that two scale-item characteristics – number of item response categories and item response-category label format – have on the reliability of multi-item rating scales. The first dataset contained 289 reliability coefficients harvested from 100 samples that measured Big Five traits. The second dataset contained 2,524 reliability coefficients harvested from 381 samples that measured a wide variety of constructs in psychology, marketing, management, and education. We performed moderator analyses on the two datasets with the two item characteristics and their interaction. As expected, as the number of item response categories increased, so did reliability, but more importantly, there was a significant interaction between the number of item response categories and item response-category label format. Increasing the number of response categories increased reliabilities for scale-items with all response categories labeled more so than for other item response-category label formats. We explain that the interaction may be due to both statistical and psychological factors. The present results help to explain why findings on the relationships between the two scale-item characteristics and reliability have been mixed.

Sign in / Sign up

Export Citation Format

Share Document