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Full-Text Articles in Social and Behavioral Sciences
Comparison Of Higher Stratum Motivational Factors Across Sexes Using The Children's Motivation Analysis Test, Gregory J. Boyle, K B. Start
Comparison Of Higher Stratum Motivational Factors Across Sexes Using The Children's Motivation Analysis Test, Gregory J. Boyle, K B. Start
Gregory J. Boyle
The Children's Motivation Analysis Test (CMAT) is a newly developed objective instrument for quantifying several important motivational dynamic traits among primary school children. The CMAT is a downward extension of the MAT and SMAT instruments, which have put motivation measurement onto a new level of sophistication. These pencil-and-paper instruments avoid the most serious handicap of self-report questionnaires, namely the obvious transparency of items, and concomitant ease of faking good or faking bad, as well as other kinds of response distortion which may result from inadequate self-insight of one's motivational attributes. The CMAT was administered to separate groups of male and …
Prediction Of Academic Achievement Using The School Motivation Analysis Test., Gregory J. Boyle, Brian K. Start, John E. Hall
Prediction Of Academic Achievement Using The School Motivation Analysis Test., Gregory J. Boyle, Brian K. Start, John E. Hall
Gregory J. Boyle
Mathematics and English achievement was investigated among 277 Year 10 Australian students. Using the School Motivation Analysis Test (SMAT) as the measure of dynamic motivational traits, significant achievement variance (25 percent for Mathematics; 34 percent for English) was accounted for independently from that due to abilities and personality traits. Male students tended to invest a greater proportion of intellectual abilities (indexed via the SMAT General Information Intelligence score) than did females in the learning of Mathematics (accounting for 25 percent of the variance for males), whereas females demonstrated a higher investment of abilities in English. The specific motivational dynamic traits …
Sex Differences In The Prediction Of Academic Achievement Using The Children's Motivation Analysis Test, Gregory J. Boyle, Brian K. Start
Sex Differences In The Prediction Of Academic Achievement Using The Children's Motivation Analysis Test, Gregory J. Boyle, Brian K. Start
Gregory J. Boyle
The Children's Motivation Analysis Test (CMAT), together with standardised achievement tests in mathematics and reading, was administered to a large sample of Australian elementary school children. Stepwise forward regression analyses were conducted on subsamples of 209 males and 179 females (cases with missing data previously excluded). Several of the CMAT dynamic traits significantly predicted achievement scores. The most useful predictors were conscientiousness (Superego) and family (Home) orientation. These results, based on objective motivation measurement, represent the beginnings of a new approach for research into children's motivation structure.
Are Employment-Interview Skills A Correlate Of Subtypes Of Schizophrenia?, James Charisiou, Henry J. Jackson, Gregory J. Boyle, Philip Burgess, Harry I. Minas, Stephen D. Joshua
Are Employment-Interview Skills A Correlate Of Subtypes Of Schizophrenia?, James Charisiou, Henry J. Jackson, Gregory J. Boyle, Philip Burgess, Harry I. Minas, Stephen D. Joshua
Gregory J. Boyle
46 inpatients with a DSM-III diagnosis of schizophrenia were assessed in the week prior to discharge from hospital on measures of positive and negative symptoms and on 12 measures of employment interview skills (i.e., eye contact, facial gestures, body posture, verbal content, voice volume, length of speech, motivation, self-confidence, ability to communicate, manifest adjustment, manifest intelligence, over-all interview skill), and a global measure of employability. A cluster analysis based on the total positive and negative symptom scores produced two groups. The group with the lower mean negative symptom score exhibited better employment-interview skills and higher ratings on employability.
Collaborative Research In Genetics, Maheswarappa B S
Collaborative Research In Genetics, Maheswarappa B S
Prof B S Maheswarappa
Studies the collaborative research in Genetics based on authorship data collected from Genetics Abstracts 1970, 1975, 1980 and 1985. Slightly less than 80% of papers in genetics were by multiple authors. Two author papers outnumber single-author papers as well as papers with three or more authors and the proportions have changed over the years in favour of multiple authorship. The average number of papers has increased from 2•3 to 3•13 and so also the degree of collaboration from 0•70 to 0•84. The two-author papers were a maximum in 14 research fronts. The highest proportion of multi-author papers (80%) were found …
Seed Pathology Literature, Maheswarappa B. S, Usha G. N
Seed Pathology Literature, Maheswarappa B. S, Usha G. N
Prof B S Maheswarappa
No abstract provided.