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Kiray, Seyit Ahmet – International Journal of Research in Education and Science, 2016
Today, it is of great importance that teachers have pedagogical and technological knowledge in addition to content knowledge. For this reason, the present study aims to develop a TPACK self-efficacy scale for preservice science teachers by following the theoretical framework of technological pedagogical and content knowledge (TPACK), as suggested…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Self Efficacy, Test Construction
Pagano, Maria E.; Kelly, John F.; Scur, Michael D.; Ionescu, Rebecca A.; Stout, Robert N.; Post, Stephen D. – Grantee Submission, 2013
The positive outcomes derived from participation in Alcoholics Anonymous-related helping (AAH) found among adults has spurred study of AAH among minors with addiction. AAH includes acts of good citizenship in AA, formal service positions, public outreach, and transmitting personal experience to another fellow sufferer. Addiction research with…
Descriptors: Adolescents, Patients, Participation, Alcohol Abuse
Chiang, Wen-Wei; Liu, Chia-Ju – International Journal of Science Education, 2014
Contemporary research into science education has generally been conducted from the perspective of "conceptual change" in learning. This study sought to extend previous work by recognizing that human rationality can be influenced by the emotions generated by the learning environment and specific actions related to learning. Methods used…
Descriptors: Science Education, Educational Environment, Educational Psychology, Emotional Development
Peer reviewedRindskopf, David; Rose, Tedd – Multivariate Behavioral Research, 1988
Confirmatory factor analysis was applied to test second- and higher-order factor models in the areas of structure of abilities, allometry, and the separation of specific and error variance estimates. The estimation of validity and reliability, second-order models within factor analysis models, and the concept of discriminability were also studied.…
Descriptors: Discriminant Analysis, Error of Measurement, Estimation (Mathematics), Factor Analysis
PDF pending restorationLarsson, Bernt – 1974
This report gives some simple examples of stability for one factor and 2 x 2 factorial analysis of variance, reliability and correlations. The findings are very different: from superstability (no transformation whatsoever can change the result) to almost total instability. This is followed by a discussion of applications to multivariate analysis,…
Descriptors: Analysis of Variance, Correlation, Discriminant Analysis, Factor Analysis
Robinson, Viviane M. J.; Eddy, David; Irving, Earl – School Leadership & Management, 2006
Any programme of principal induction must find ways to respond to the diversity of its participants, in terms of their backgrounds and learning needs. New Zealand's national principal induction programme uses a self assessment of each principal's capability in the leadership of teaching and learning as one of its main sources of information about…
Descriptors: Principals, Self Evaluation (Individuals), Foreign Countries, Factor Analysis
Davidson, Patricia S. – 1983
This second volume of the final report contains the statistical tables, coding key, and the rating manual for the coding key. Data on interrater reliability, factor analyses, and discriminant analyses are included and described. The manual for the coding key includes the data base and/or criteria for each item to be coded. (MNS)
Descriptors: Cerebral Dominance, Clinical Diagnosis, Criteria, Discriminant Analysis
Rodger, Susan; Cummings, Anne; Leschied, Alan W. – Child Abuse & Neglect: The International Journal, 2006
Objective: Responding to the need for more foster families to provide care for increasing numbers of children coming into care, this study was designed to understand the motivations and needs of foster parents in order to improve recruitment and retention. To meet this goal, the study identified characteristics of current foster families,…
Descriptors: Motivation, Foster Care, Child Welfare, Factor Analysis

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