Comparing the Factorial Structure of the ACII Test Based on Logic Versus ALMT Based on Feelings
Dr. Russell N. Cassel
1362 Santa Cruz Court
ChulaVista,California 91910
Dr. Brian R. Costello
Pearcedale, Victoria
Australia 3912
A comparison between logical content and the feelings of individuals as measured by use of biofeedback instruments. In 21 different independently organized factors; 18 were dominated by feelings as measured by biofeedback as opposed to three where logical content was organized.
The present study sought to compare the factorial structure of the Australian Career Interest Inventory (ACII) -(Costello, 1990) - based on logical reasoning versus the Australian Life Mission Test (ALMT) (Cassel and Costello, 1992) based on feelings. Both the CAII and the ALMT tests are based on the same 14 different job career areas:
1. Machine & Mechanical
2. Scientific & Assessment
3. Education & Social Science
4. Medical & Health Services
5. Clerical and Business
6. Management & Supervision
7. Agriculture & Life Science
8. Performing Arts & Aesthetics
9. Crafts & Trades
10. Law Enforcement & Military
11. Marketing & Sales
12. Labour (Labor) & Elemental
13. Engineering & Physical Science
14. Communication & Transportation
Based on the brain laterality theory described by Edwards (1979), The ACII is designed to assess dominant brain and conscious career interests while the ALMT deals with the non-dominant brain and non-conscious activity (Cacioppo, - 1990.) The ACII involves logical and conscious choice where the individual evaluates the 14 career choices by use of written items. The ALMT involves harmony in neural functioning as measured by four different biofeedback instruments simultaneously as eight slides of carefully selected scenes in each of the same 14 career areas (Cox, 1991):
1. GSR -Galvanic Skin Conductance- emotional lability
2. EMG- Electromyograph-muscle tension and kinesthesis
3. TEM - Thermistor - finger temperature and sympathetic pattern
4. PUL'- Pulse Rate - perceived stress load and commitment
Sample
The sample involved in this study consisted of 100 available persons, all Australians, ranging in age from l3 to 67 years with a mean age of 35.96 and a standard deviation of 13.24 years. The sample included 60 males and 40 females. In terms of marital status, 61 were married and 39 were single. In terms of "intensity" of career interest, as depicted by the Total Score for ACII, the scores ranged from 361 to 1,061 with a mean of 648.68 and a standard deviation of 145.61. Typically, individuals with a total score on the ACII of 500 or less are deemed to have an inadequate overall level of career interest (minus one standard deviation from the mean). It is maintained that career interest is a necessary but not sufficient condition for career success. How could one be expected to be effective in activity where there is little or no personal interest in the involvement.
Factorial Structure
A principal component factor analysis was conducted in relation to data from the Australian Career Interest Inventory (ACII) and the Australian Life Mission Test (ALMT). The independence of the organization was assured by extracting only factors with 0.5 eigen values or greater. The varimax rotation was accomplished to insure identity based on highest factor loadings.
ALMT and ACII Part Scores
Using all part scores for both ALMT and ACII plus the initial GSR (INIGSR), 21 independently organized factors were extracted as depicted and defined below. It is clear from Factors I, II, III, and XVII that 3 of the 4 principal neural functions involved in the ALMT (GSR, EMG, and PUL) are factorially pure, and are clearly independent of the 14 job career interests contained in ACII. The perceived stress load (PUL) has both a general factor (III), and a secondary factor (XVII). It is clear from factor XIX that 13 of the neural functions are influenced by job career interests since INIGSR (the initial GSR) is independently organized. The most characteristic thing we learn from the nature of the derived factors described is that l3 career interest fields are associated with a particular neural function (GSR, EMG, TEM, PUL, and INIGSR), as in V, VII. IX X, XI, XII, XIII, XIV, XV, XVI, XVII, XX, and XXI. Counting the four factors based on largely neural functioning, regardless of the career aspects, a total of 18 of the 21 factors are characterized by the nature of neural functioning. Five of the 21 factors extracted are characterized by negative loadings (V, X, XIX, XX, and XXI. Only three of the 12 factors are devoid of neural functioning: VI,VIII ,and XVIII. It is clear from the nature of independent factors extracted that feelings depicted by one's neural functioning are far more important than logical career interest as measured by ALMT and ACII. When we compare the factor content of both ALMT and ACII, the neural functioning elements (as measured by the biofeedback instruments), the real basis of one's personal satisfaction in life dwarf all other concerns. When one examines the amount of total variance explained by pure neural functions (Factors I, II, III, XVII, and XIX) a total of 58.804 percent of the total variance is explained as shown in Table 1. This means that more than half of what is being measured by ALMT and ACII is contained in ALMT. These 21 factors are identified as follows:
| FACTOR I | general + factor - TEM neural functioning |
| FACTOR II | general + factor - EMG neural functioning |
| FACTOR III | general + factor - PUL neural functioning |
| FACTOR IV | general + factor - MECH, LABO, CRAF, & LAW |
| FACTOR V | principal - factor MDGSR |
| FACTOR VI | general + factor - SCIE, AEST, COMM, ENGI, EDUC, AGRI & MANA |
| FACTOR VII | principal + factor - ENGSR |
| FACTOR VIII | principal + factor - MEDI |
| FACTOR IX | general + factor - EDGSR & SCGSR |
| FACTOR X | principal - factor - CRGSR |
| FACTOR XI | principal + factor - AGGSR |
| FACTOR XII | principal + factor - SAGSR |
| FACTOR XIII | principal + factor - AEGSR |
| FACTOR XIV | principal + factor - MEGSR |
| FACTOR XV | principal + factor - CLGSR |
| FACTOR XVI | principal + factor - LBGSR |
| FACTOR XVII | secondary - factor - CLPUL, MDPUL, EDPUL, SCPUL, &MEPUL |
| FACTOR XVIII | general + factor - SALE & CLER |
| FACTOR XIX | principal - factor - INIGSR |
| FACTOR XX | principal - factor - LAGSR |
| FACTOR XXI | principal - factor - MAGSR |
Table 1
Percentage of Variance Accounted for by Factors
|
Factors |
| Factors | Percentage of Total Variance |
| FACTOR I | 19.319. |
| FACTOR II | 19.222 |
| FACTOR III | 16.366 |
| FACTOR IV | 5.485 |
| FACTOR V | 2.040 |
| FACTOR VI | 5.521 |
| FACTOR VII | 1.651 |
| FACTOR VIII | 1.616 |
| FACTOR IX | 2.205 |
| FACTOR X | 1.704 |
| FACTOR XI | 1.759 |
| FACTOR XII | 1.644 |
| FACTOR XIII | 1.576 |
| FACTOR XIV | 1.809 |
| FACTOR XV | 1.656 |
| FACTOR XVI | 1.779 |
| FACTOR XVII | 2.219 |
| FACTOR XVIII | 2.391 |
| FACTOR XIX | 1.680 |
| FACTOR XX | 1.533 |
| FACTOR XXI | 1.673 |
References
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Costello, B.R. (1990). The Australian computerized vocational interest inventory. Education, 110(4),4517462.
Cox, J. (1991) The Cassel TRI-BI-SEN SOR (biofeedback equipment). 625 Palm Terrace, Escondido, California 92025.
Edwards, B. (1979),. Drawing on the right side of the brain. Los Angeles:P. Tarcher, Inc.