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Howell, Roy D. – Measurement: Interdisciplinary Research and Perspectives, 2014
Building on the work of Bollen (2007) and Bollen & Bauldry (2011), Bainter and Bollen (this issue) clarifies several points of confusion in the literature regarding causal indicator models. This author would certainly agree that the effect indicator (reflective) measurement model is inappropriate for some indicators (such as the social…
Descriptors: Statistical Analysis, Measurement, Causal Models, Data Interpretation
Reichardt, Charles S. – Multivariate Behavioral Research, 2011
Maxwell, Cole, and Mitchell (2011) demonstrated that simple structural equation models, when used with cross-sectional data, generally produce biased estimates of meditated effects. I extend those results by showing how simple structural equation models can produce biased estimates of meditated effects when used even with longitudinal data. Even…
Descriptors: Structural Equation Models, Statistical Data, Longitudinal Studies, Error of Measurement
Schaub, Maryellen – Sociology of Education, 2010
Over the second half of the twentieth century, changes occurred in parent reports of their engagement in cognitive activities with their young children in the United States. This article argues that the growing trend of "parenting for cognitive development" in young children in the latter half of the twentieth century is associated with the…
Descriptors: Mothers, Child Rearing, Behavior Standards, Young Children
Stockard, Jean; Gray, Jo Anna; O'Brien, Robert; Stone, Joe – Social Forces, 2009
In this article, the authors clarify and provide additional tests of the key elements of their age-period-cohort analysis of non-marital birth rates in this March 2009 issue of "Social Forces." Where Steve Martin, in his commentary, has suggested specific alternative specifications or interpretations of their findings, the authors have…
Descriptors: Cohort Analysis, Birth Rate, Reader Response, Racial Differences
Thayer, Jerome D. – 2002
This paper identifies specific problems with stepwise regression, notes criticisms of stepwise methods by statisticians, suggests appropriate ways in which stepwise procedures can be used, and gives examples of how this can be done. Although the stepwise method has been routinely criticized by statisticians, it is still frequently used in the…
Descriptors: Data Analysis, Predictor Variables, Regression (Statistics), Research Methodology
Pounder, Diana G. – 1993
This paper offers reasons for using traditional quantitative research methods and illustrates some of the considerations demanding rigor in a study on gender discrimination in school-administrator salaries. Traditional quantitative methods provide a meaningful language based on numbers and objectivity, and they are less time-consuming and complex…
Descriptors: Data Analysis, Data Collection, Educational Administration, Higher Education
Golash-Boza, Tanya – Social Forces, 2006
Early assimilation theorists predicted the eventual loss of ethnic distinctiveness for immigrants in the United States. In this paper, the author not only questions the possibilities that Latino and Latina Americans have for losing their ethnic distinctiveness, but also proposes that these possibilities vary widely within the Hispanic population.…
Descriptors: Hispanic Americans, Immigrants, Acculturation, Ethnicity

Hsu, Louis M. – Journal of Counseling Psychology, 1989
Discusses three topics related to interpretation of discriminant analyses (DA's): (1) partial F ratios and partial Wilks's lambdas for predictor variables in standard, step-down, and stepwise DA's; (2) relation of goals of classification to definition/evaluation of classification rules; and (3) significance tests for total hit rates in internal…
Descriptors: Data Interpretation, Discriminant Analysis, Multivariate Analysis, Predictor Variables
Branch, Robert C. – Educational Technology, 1994
Discusses teachers' use of systematic instructional design practices; describes fundamental components of instructional design; explains a teacher planning inventory; and reports on a study of junior and senior high school teachers that examined their use of instructional design practices in their planning routines. (Contains 21 references.) (LRW)
Descriptors: Instructional Design, Models, Predictor Variables, Secondary Education

Coll, Joan H.; Coll, Richard – Information Processing and Management, 1993
Describes and organizes the variables affecting display presentation format (i.e., tables and graphs) in information systems into a classification scheme and creates a framework for research in this area. Two-factor studies are discussed; research recommendations are presented; and Cognitive Match Interface Design is explained. (Contains 31…
Descriptors: Classification, Display Aids, Graphs, Information Systems

McCall, Robert B.; Appelbaum, Mark I. – Developmental Psychology, 1991
Discusses procedures and considerations involved with secondary analyses of longitudinal databases. Procedures involve (1) formulating questions; (2) creating a feasibility matrix; (3) reformulating questions; (4) creating derived variables; (5) performing data reduction; (6) analyzing data; and (7) interpreting results. Problems associated with…
Descriptors: Data Analysis, Developmental Psychology, Longitudinal Studies, Predictor Variables

Abbott, Walter F. – Academe: Bulletin of the AAUP, 1980
If 1970-77 trends in academic salaries and the poverty level threshold persist, it is suggested, lower-ranking American academicians may expect to enter the ranks of the working poor in the eighties. Some evidence is presented and some options and alternatives are discussed. (MLW)
Descriptors: College Faculty, Economic Factors, Economically Disadvantaged, Higher Education
Harris, Ilene B. – 1981
The use of meta-analysis of patient education research as reported by Steven A. Mazzuca in a 1981 conference paper is critiqued. The way that Mazucca's meta-analysis conforms to the criteria for effective conduct of the six methodological tasks of integrative reviews as specified by Jackson (1980) is assessed. The extent to which meta-analysis…
Descriptors: Data Analysis, Educational Assessment, Evaluation Criteria, Evaluation Methods

Feather, John – Evaluation and Program Planning: An International Journal, 1982
Three types of macro-level variables for program analysis--cultural, economic and demographic--provide a context for evaluation and offer alternative explanations for program success or failure. The problems of causality and availability of data, as well as the usefulness of macro variables in meta evaluation are discussed. (Author/CM)
Descriptors: Cultural Context, Data Analysis, Demography, Economic Factors

Carlton-Ford, Steven L.; And Others – New Directions for Child Development, 1991
Discusses issues involved with selecting a methodology and data analysis technique for studying divergent views of the family. Qualitative and quantitative methods, and linear and nonlinear models, are described. Statistical and theoretical issues regarding the use of discrepancy scores are examined. (BC)
Descriptors: Data Analysis, Family Attitudes, Parent Child Relationship, Predictor Variables
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