This study investigated the relationship among sex, attitude toward intelligence, and self-estimation of multiple intelligences for self and parents among Portuguese adolescents in secondary schools. Two hundred and forty-two adolescents estimated their own and their parents' IQ scores on each of Gardner's 10 multiple intelligences: verbal…

Lahey and Waldman proposed a developmental propensity model in which three dimensions of children's emotional dispositions are hypothesized to transact with the environment to influence risk for conduct disorder, heterogeneity in conduct disorder, and comorbidity with other disorders. To prepare for future tests of this model, a new measure of…

This study was designed to assess the (score) construct-related validity of an instrument called the School-Wide Cultural Competence Observation Checklist (SCCOC). The instrument was developed to use as a tool in conducting culture audits as a means of assessing school-wide cultural competence, or how well a school's programs, policies, and…

Two studies are reported which describe the development and evaluation of a new instrument, the Computer Technology Use Scale (CTUS), comprising three domains: computer self-efficacy, attitudes to technology, and technology related anxiety. Study 1 describes the development of the instrument and explores its factor structure. Study 2 used…

This study adopted a person-centered approach to examine organized patterns of psychological factors and their relations to achievement and engagement in a sample of high school students. Four types of students characterized by unique configurations of cognitive, motivational, and affective characteristics were identified in both the male and…

The authors report the development and validation of the Writing Dispositions Scale (WDS), a self-report instrument for measuring affective stances toward writing. The authors collected survey data from 854 elementary and middle school students and randomly split the data to facilitate both an exploratory factor analysis (EFA) and a confirmatory…

Using exploratory and confirmatory factor analyses, the aims were (a) to obtain, describe, and compare different solutions of three, five, and six first-order factors raised in the previous literature about the Children's Depression Inventory (CDI); (b) analyze the number and nature of the second-order factors; (c) test which model best reproduces…

A study examined the dimensions of children's motivation for reading. Eleven different dimensions of reading motivations were proposed, including intrinsic and extrinsic motivations for reading, perceptions of reading efficacy, social aspects of reading, and reading disincentives. An 82-item questionnaire was developed to measure each dimension,…

Exploratory and confirmatory factor analytic techniques are compared, and how to conduct a confirmatory factor analysis is reviewed. A sampling of "fit" statistics and suggestions for methods to improve models for testing are also presented. Exploratory factor analysis is used to explore data to determine the number of the nature of…

The increased use of multiple regression analysis in research warrants closer examination of the coefficients produced in these analyses, especially ones which are often ignored, such as structure coefficients. Structure coefficients are bivariate correlation coefficients between a predictor variable and the synthetic variable. When predictor…

Factorial analyses differ from nonfactorial analyses in that in the former all possible hypotheses (all possible main effects and interaction effects) are tested regardless of their substantive interest to the researcher and their interpretability, while in the latter, only substantive and interpretable hypotheses are tested. This paper shows the…

Rotation is used in almost all exploratory factor analysis (EFA) studies. There are numerous rotation strategies that can be employed in these various applications. This paper reviews the various rotation choices in EFA studies, including confirmatory rotation, and presents criteria useful in selecting rotation methods in various analytic…

The central objective of factor analysis is to explain the greatest amount of variance in a data set with the smallest number of factors. Higher-order analysis is an invaluable tool that offers the benefit of parsimony provided by first-order analysis with the opportunity to make data-based generalizations beyond the first-order. Higher-order…

Logistic regression was used for modeling the observation-to-indicator ratio needed for the standard error scree procedure (SEscree) to correctly identify the number of factors existing in generated sample correlation matrices. The created correlation matrices were manipulated along the number of factors (4,6), sample size (250, 500), magnitude of…

A sample of 364 Mexican-American college students were used to study the adequacy of Keefe and Padilla's model and measure of cultural change. Keefe and Padilla developed an empirical measure yielding two divergent factors, labeled as Cultural Awareness and Ethnic Loyalty. An additional factor, labeled Ethnic Social Orientation, referred to…