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APPENDIX B<br />

ENGINEERING SELF-CONFIDENCE FACTORS<br />

The indices of engineering self-confidence were derived from a fac<strong>to</strong>r analysis of<br />

about 20 survey items related <strong>to</strong> self-confidence that <strong>the</strong> students were asked in <strong>the</strong> Fall<br />

survey. Items with low commonality were excluded. The remaining items and <strong>the</strong>ir<br />

loading on <strong>the</strong> four resulting fac<strong>to</strong>rs are presented in Table Appendix B-1.<br />

TABLE APPENDIX B-1<br />

LOADINGS OF SURVEY ITEMS ON SELF-CONFIDENCE FACTORS AND<br />

% VARIANCE EXPLAINED BY EACH FACTOR<br />

Survey Item<br />

CONF<br />

STAY<br />

ENG<br />

SELF-CONFIDENCE FACTOR<br />

CONF<br />

ENG<br />

ABIL<br />

CONF<br />

COMM<br />

SKILL<br />

CONF<br />

ACAD<br />

ABIL<br />

Engin right major for me .839 .188<br />

Consider dropping out .813<br />

Well suited for college major .763 .271 .238<br />

Well-suited for chosen career .694 .452 .102 .143<br />

Mechanically inclined .836<br />

Technically inclined .233 .827 .128<br />

Good at designing .208 .786 .197<br />

Confidence in speaking skills .869<br />

Highest 10% in communication skills .787 .150<br />

Confidence in writing skills .116 .718<br />

Highest 10% in academic ability .124 .865<br />

Highest 10% in ma<strong>the</strong>matical ability .106 -.123 .848<br />

Highest 10% in science interest .263 .106 .164 .471<br />

% variance explained 20.1 18.1 15.5 14.0<br />

Extraction Method: Principal Component Analysis<br />

Rotation Method: Varimax with Kaiser Normalization<br />

Statistical analysis showed that <strong>the</strong> fac<strong>to</strong>r structure of females and males is similar enough <strong>to</strong> compare<br />

scores of <strong>the</strong> different genders.<br />

Appendix B - 313

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