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Akoglu, Leman – ProQuest LLC, 2012
Large real-world graph (a.k.a network, relational) data are omnipresent, in online media, businesses, science, and the government. Analysis of these massive graphs is crucial, in order to extract descriptive and predictive knowledge with many commercial, medical, and environmental applications. In addition to its general structure, knowing what…
Descriptors: Networks, Graphs, Data, Mathematics
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Park, Joonwook; Rajagopal, Priyali; DeSarbo, Wayne S. – Psychometrika, 2012
A variety of joint space multidimensional scaling (MDS) methods have been utilized for the spatial analysis of two- or three-way dominance data involving subjects' preferences, choices, considerations, intentions, etc. so as to provide a parsimonious spatial depiction of the underlying relevant dimensions, attributes, stimuli, and/or subjects'…
Descriptors: Multidimensional Scaling, Bayesian Statistics, Preferences, Psychology
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O'Connell, Heather A. – Social Forces, 2012
Despite Civil Rights legislation, racial inequality persists, especially in the context of poverty. This study advances the literature on racial inequality and the Southern legacy of slavery by examining slavery's relationship with inequality in poverty. I analyze county-level U.S. Census data using regression and spatial data analysis techniques.…
Descriptors: Slavery, Poverty, Racial Discrimination, Regression (Statistics)
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Hwang, Heungsun; Jung, Kwanghee; Takane, Yoshio; Woodward, Todd S. – Psychometrika, 2012
We propose functional multiple-set canonical correlation analysis for exploring associations among multiple sets of functions. The proposed method includes functional canonical correlation analysis as a special case when only two sets of functions are considered. As in classical multiple-set canonical correlation analysis, computationally, the…
Descriptors: Multivariate Analysis, Computation, Data Analysis, Short Term Memory
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Slavit, David; Nelson, Tamara Holmlund; Deuel, Angie – Journal of Teacher Education, 2013
This article measures and discusses six teacher groups' (a) time spent working with data and (b) time devoted to particular kinds of inquiry activities, and explores various contextual factors that influence these results. The authors make use of a framework useful in describing and analyzing the stance taken by teachers when they engage with…
Descriptors: Data, Teacher Collaboration, Inquiry, Data Collection
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Onchiri, Sureiman – Educational Research and Reviews, 2013
Whenever you think you have an idea of how something works, you have a mental model. That is, in effect, a layman's way of talking about having an hypothesis. The hypothesis needs to be tested for how closely it fits reality--and reality is the data collected from an experiment. So the data is collected on the few and compared with a few…
Descriptors: Statistical Analysis, Goodness of Fit, Data Analysis, Statistical Distributions
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Sung, Johnny; Ng, Michael Chi Man; Loke, Fiona; Ramos, Catherine – International Journal of Training and Development, 2013
This paper concerns the changing nature of employability skills, moving from the original life skills or basic skills concepts to the increasingly work-oriented interpretation. The early concept of employability skills linked employability skills to job readiness and holding down employment. However, the work-oriented focus is increasingly linking…
Descriptors: Foreign Countries, Employment Potential, Job Skills, Labor Force Development
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Raykov, Tenko; Lee, Chun-Lung; Marcoulides, George A.; Chang, Chi – Educational and Psychological Measurement, 2013
The relationship between saturated path-analysis models and their fit to data is revisited. It is demonstrated that a saturated model need not fit perfectly or even well a given data set when fit to the raw data is examined, a criterion currently frequently overlooked by researchers utilizing path analysis modeling techniques. The potential of…
Descriptors: Structural Equation Models, Goodness of Fit, Path Analysis, Correlation
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Gorard, Stephen – International Journal of Research & Method in Education, 2013
Experimental designs involving the randomization of cases to treatment and control groups are powerful and under-used in many areas of social science and social policy. This paper reminds readers of the pre-and post-test, and the post-test only, designs, before explaining briefly how measurement errors propagate according to error theory. The…
Descriptors: Pretests Posttests, Research Design, Comparative Analysis, Data Analysis
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Walker, Kristen L.; Curren, Mary T.; Kiesler, Tina – Marketing Education Review, 2013
Plaza del Valle is an open-air shopping center in the San Fernando Valley region of Los Angeles. The new marketing manager must review primary and secondary data to determine a target market, a product positioning strategy, and a promotion strategy for the retail shopping center with the ultimate goal of increasing revenue for the Plaza. She is…
Descriptors: Marketing, Retailing, Data Analysis, Competition
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Anyan, Frederick – Qualitative Report, 2013
This paper analyzes the power relation between the interviewer and the interviewee in the qualitative research interview methodology. The paper sets out to grapple with the extent to which the dynamisms in power shifts influence data collection and analysis in the interview methodology. The exploration of power shifts in the qualitative research…
Descriptors: Power Structure, Interviews, Interpersonal Relationship, Qualitative Research
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Kruschke, John K. – Journal of Experimental Psychology: General, 2013
Bayesian estimation for 2 groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations and their difference, and the normality of the data. The method handles outliers. The decision rule can accept the null value (unlike traditional "t" tests) when certainty in the estimate is…
Descriptors: Bayesian Statistics, Computation, Evaluation Methods, Computer Software
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Zhang, Zhiyong; Wang, Lijuan – Psychometrika, 2013
Despite wide applications of both mediation models and missing data techniques, formal discussion of mediation analysis with missing data is still rare. We introduce and compare four approaches to dealing with missing data in mediation analysis including list wise deletion, pairwise deletion, multiple imputation (MI), and a two-stage maximum…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Simulation, Measurement Techniques
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Davis, Christopher J.; Kmetz, Karla – Information Systems Education Journal, 2015
Prior research in higher education shows that engagement has been inconsistently conceptualized: semantic inconsistency has been compounded by variations in the constructs used to operationalize engagement. Acknowledging these limitations, we conceptualize student engagement as a multi-faceted meta-construct, overcoming some of the limitations…
Descriptors: Learner Engagement, Models, Cohort Analysis, Electronic Learning
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Argon, Turkan – Educational Sciences: Theory and Practice, 2015
The current study aims to identify teacher and administrator views regarding primary school principals' accountability. The case study model, a qualitative research method, was adopted in the study using the holistic single-case design. The working group was composed of a total of 56 individuals, 42 teachers and 14 administrators (11 principals…
Descriptors: Principals, Accountability, Administrator Attitudes, Teacher Attitudes
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