東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

The Three Factor Accident Prediction...

Janicak, Christopher Allen.

Linked to FindBook

Google Book

Amazon

博客來

The Three Factor Accident Prediction Inventory.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Three Factor Accident Prediction Inventory./
Author:	Janicak, Christopher Allen.
Description:	125 p.
Notes:	Source: Dissertation Abstracts International, Volume: 54-05, Section: B, page: 2796.
Contained By:	Dissertation Abstracts International54-05B.
Subject:	Psychology, Industrial. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9326164

The Three Factor Accident Prediction Inventory.
Janicak, Christopher Allen.

The Three Factor Accident Prediction Inventory. - 125 p.

Source: Dissertation Abstracts International, Volume: 54-05, Section: B, page: 2796.

Thesis (Ph.D.)--Loyola University Chicago, 1993.

The Three Factor Accident Prediction Inventory was developed to be a tool for predicting work related accident involvement. The employees' loci of control in combination with six safety program components were found to be predictive of worker compensation claim involvement over a three year period.Subjects--Topical Terms:

520063
Psychology, Industrial.

The Three Factor Accident Prediction Inventory.
LDR:03481nmm 2200337 4500 001 1826181
005 20061214090100.5
008 130610s1993 eng d
035 $a (UnM)AAI9326164
035 $a AAI9326164
040 $a UnM $c UnM
100 1 $a Janicak, Christopher Allen. $3 1915152
245 1 4 $a The Three Factor Accident Prediction Inventory.
300 $a 125 p.
500 $a Source: Dissertation Abstracts International, Volume: 54-05, Section: B, page: 2796.
500 $a Director: Jack Kavanagh.
502 $a Thesis (Ph.D.)--Loyola University Chicago, 1993.
520 $a The Three Factor Accident Prediction Inventory was developed to be a tool for predicting work related accident involvement. The employees' loci of control in combination with six safety program components were found to be predictive of worker compensation claim involvement over a three year period.
520 $a Five-hundred Park District employees in Illinois were randomly sampled and asked to complete a twenty-four item inventory. Each item on the inventory was comprised of an internally based statement and an externally based statement. The subjects were asked to select the statement that they believed was most true.
520 $a Six safety program areas were evaluated for each district through their insurance pool, The Park District Risk Management Agency. These programs, which were identified as having significant impact on accident involvement in a prior pilot study, were (1) a disciplinary policy that covers safety infractions; (2) an accident investigation policy and training; (3) a return to work policy; (4) an Employee Assistance Program; (5) a hazard survey program; and (6) employee training on the use of power equipment.
520 $a Accident information was examined for each subject during January 1, 1990 to December 31, 1992. Accident frequencies were measured by summing the total worker's compensation claims filed with the Park District Risk Management Agency during this time period. Accident severity was measured by summing the total dollars incurred for the claims during the time period.
520 $a The linear discriminant analysis procedure was used to assign weights to each of the items and derive a total score based upon accident involvement. Significant validity coefficients were obtained between Inventory scores and accident involvement for employees that worked 6,000 hours during the three year accident history period (ETA =.512, Power $> $. 99). Spearman-Brown Split-half reliability coefficients for the population was.756 (N = 211, Power $> $. 99).
520 $a The linear discriminant analysis procedure was also used to derive scores for classifying subjects into low, moderate, and high accident severity groups. The procedure was perfect in classifying the accident cases into these groups, however, more accident cases are needed to confirm the results.
520 $a This study has shown that by combining the employee factors with safety program factors, it is possible to predict accident involvement at significant levels. More research should be conducted with this Instrument and the methodology to further develop the inventory and improve its validity and reliability.
590 $a School code: 0112.
650 4 $a Psychology, Industrial. $3 520063
650 4 $a Health Sciences, Occupational Health and Safety. $3 1017799
690 $a 0624
690 $a 0354
710 2 0 $a Loyola University Chicago. $3 1020295
773 0 $t Dissertation Abstracts International $g 54-05B.
790 1 0 $a Kavanagh, Jack, $e advisor
790 $a 0112
791 $a Ph.D.
792 $a 1993
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9326164