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28th International Congress of Psychology August 8 ... - U-netSURF

28th International Congress of Psychology August 8 ... - U-netSURF

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1028.67 Can structural equation models be used to examine implicit theories? Michael John<br />

Kiernan, Graham Tyson, Rachel Dryer, School <strong>of</strong> Scocial Sciences and Liberal Studies, Charles<br />

Sturt University, AU<br />

Research on implicit theories examines the beliefs held by individuals and groups about the causes<br />

and characteristics <strong>of</strong> problem behaviours, such as ADHD. Studies usually survey large samples,<br />

and then employ factor analysis to describe the underlying structure <strong>of</strong> these belief components.<br />

Few studies have examined the structural relationships between the components. In this<br />

re-analysis <strong>of</strong> data presented previously, structural equation modeling (SEM) was used to examine<br />

the relationships between the beliefs <strong>of</strong> health pr<strong>of</strong>essionals and parents about the characteristics,<br />

causes and treatment <strong>of</strong> ADHD. The benefits <strong>of</strong> using SEM in the study <strong>of</strong> implicit theories are<br />

considered.<br />

1028.68 Effects <strong>of</strong> the menstrual cycle on an ability to differentiate, Hiromi Taji, Masune<br />

Sukigara, Nagoya City University, Japan<br />

Researchers have reported changes in the cognitive and/or athletic abilities <strong>of</strong> women during the<br />

menstrual cycle. It is suggested that these changes are related to evolution and the reproductive<br />

activities <strong>of</strong> human beings. Also it said that the length <strong>of</strong> experience in mental training (MT) like<br />

qigong affects physical and psychological changes and the ability for non-verbal communication.<br />

This study examined whether the menstrual cycles (luteal and menstrual phases) affect the ability<br />

<strong>of</strong> the perception <strong>of</strong> a human hand and an artificial hand hovered. And we also investigated the<br />

changes <strong>of</strong> the individual difference <strong>of</strong> MT-experience.<br />

1028.69 A study on the learning <strong>of</strong> statistics with the rule space model, Qinghua Zhang, Haiqi<br />

Dai, School <strong>of</strong> Education, Jiangxi Normal University, China<br />

By using the rule space model which combines the cognitive psychology and psychometrics, a<br />

study on the students' attribute-mastery patterns in learning <strong>of</strong> described statistics was conducted.<br />

By analysis <strong>of</strong> the responses <strong>of</strong> 299 undergraduates to 22 described statistic items, it was found<br />

that there were twenty-three kinds <strong>of</strong> attribute-mastery pattern classified by the students. From<br />

which we can understand whether each one <strong>of</strong> the attribute is mastered by all the students, and that<br />

helps the teachers to bring forward remedy treatment for each kind <strong>of</strong> attribute-mastery pattern for<br />

the sake <strong>of</strong> improving the learning results <strong>of</strong> students.<br />

1028.70 A multilevel covariance structure model for causal connection research <strong>of</strong> group<br />

effectiveness, Jun Li, University <strong>of</strong> California, Berkeley, USA<br />

In group effectiveness research (for example, school effectiveness), multilevel analysis or<br />

hierarchical linear model (Raudenbush, 1988; Goldstein, 1997) and multilevel covariance<br />

structure models (Longford and Muthen, 1992; Muthen, 1994; Ansari and Jedidi, 2000) have been<br />

applied popularly. Based on the precedent research <strong>of</strong> school effectiveness with a multilevel<br />

covariance structure model (Li, 2002), this paper proposes an improved model and implements<br />

simulation studies for causal connection research <strong>of</strong> group effectiveness. Moreover, a Bayesian<br />

inference for this model is developed with MCMC procedure.<br />

1028.71 On the criterion transition, Yuan Shen 1 , Jing-Yuan Feng 1 , Jia-Li Feng 2 , Yong-Chang<br />

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