Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 8 |
Descriptor
Data Interpretation | 14 |
Predictor Variables | 14 |
Statistical Analysis | 14 |
Foreign Countries | 6 |
Causal Models | 5 |
Academic Achievement | 3 |
Comparative Analysis | 3 |
Data Collection | 3 |
Measurement Techniques | 3 |
Probability | 3 |
Regression (Statistics) | 3 |
More ▼ |
Source
Author
Adam Sales | 1 |
Ahmad, Fauziah | 1 |
Argentin, Gianluca | 1 |
Austin, John | 1 |
Boerema, Albert J. | 1 |
Burke, Gerald | 1 |
Carr, James E. | 1 |
Chaparro Caso López, Alicia A. | 1 |
Charlotte Z. Mann | 1 |
Enders, Craig K. | 1 |
Gui, Marco | 1 |
More ▼ |
Publication Type
Journal Articles | 10 |
Reports - Research | 7 |
Reports - Descriptive | 4 |
Opinion Papers | 2 |
Reports - Evaluative | 2 |
Numerical/Quantitative Data | 1 |
Speeches/Meeting Papers | 1 |
Education Level
High Schools | 4 |
Secondary Education | 3 |
Adult Education | 1 |
Grade 10 | 1 |
Grade 12 | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Audience
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
British Household Panel Survey | 1 |
What Works Clearinghouse Rating
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
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
Pagani, Laura; Argentin, Gianluca; Gui, Marco; Stanca, Luca – Educational Studies, 2016
Digital skills are increasingly important for labour market outcomes and social participation. Do they also matter for academic performance? This paper investigates the effects of digital literacy on educational outcomes by merging data from the Italian National Assessment in secondary schools with an original data-set on performance tests of…
Descriptors: Evidence, Performance Based Assessment, Media Literacy, Academic Achievement
Letkowski, Jerzy – Journal of Case Studies in Education, 2014
Descripting Statistics provides methodology and tools for user-friendly presentation of random data. Among the summary measures that describe focal tendencies in random data, the mode is given the least amount of attention and it is frequently misinterpreted in many introductory textbooks on statistics. The purpose of the paper is to provide a…
Descriptors: Statistical Data, Data Interpretation, Statistics, Qualitative Research
Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Kee, Chang Peng; Osman, Kamisah; Ahmad, Fauziah – International Education Studies, 2013
Statistical analysis is one component that cannot be avoided in a quantitative research. Initial observations noted that students in higher education institution faced difficulty analysing quantitative data which were attributed to the confusions of various variable measurements. This paper aims to compare the outcomes of two approaches applied in…
Descriptors: Statistical Analysis, Teaching Methods, Instructional Effectiveness, Instructional Innovation
Boerema, Albert J. – Journal of School Choice, 2009
Using student achievement data from British Columbia, Canada, this study is an exploration of the differences that lie within the private school sector using hierarchical linear modeling to analyze the data. The analysis showed that when controlling for language, parents' level of educational attainment, and prior achievement, the private school…
Descriptors: Private Schools, School Choice, Foreign Countries, Comparative Analysis
Enders, Craig K.; Tofighi, Davood – Psychological Methods, 2007
Appropriately centering Level 1 predictors is vital to the interpretation of intercept and slope parameters in multilevel models (MLMs). The issue of centering has been discussed in the literature, but it is still widely misunderstood. The purpose of this article is to provide a detailed overview of grand mean centering and group mean centering in…
Descriptors: Predictor Variables, Item Response Theory, Statistical Analysis, Research

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
Kalist, David E. – Journal of Statistics Education, 2004
The data discussed in this paper are from the television game show "Friend or Foe", and can be used to examine whether age, gender, race, and the amount of prize money affect contestants' strategies. The data are suitable for a variety of statistical analyses, such as descriptive statistics, testing for differences in means or proportions, and…
Descriptors: Television, Television Research, Games, Data Interpretation
Hom, Willard – 2000
This study used 1994 data from the California Community College System cohort of first-time freshmen to identify that part of University of California (UC) or California State University (CSU) transfer performance that is determined by factors outside the control of college administrators. The idea was to "level the playing field" when…
Descriptors: Cohort Analysis, Community Colleges, Comparative Analysis, Data Interpretation

Carr, James E.; Austin, John – Teaching of Psychology, 1997
Provides a brief overview of single-subject research designs. This method exercises its power by examining changes in single subjects' responses over time across experimental conditions. Describes a classroom project in which students collect repeated measures of their own behavior and graph the data. (MJP)
Descriptors: Causal Models, Data Collection, Data Interpretation, Demonstrations (Educational)
Shah, Chandra; Burke, Gerald – Centre for the Economics of Education and Training, Monash University, 2004
This report provides estimates of job and occupational mobility by demographic, educational and labour market variables using data from the Australian Bureau of Statistics (ABS) "Labour Mobility" survey for 2002. The report provides information on the effects of these variables on the probability of job separation. It also identifies the…
Descriptors: Labor Market, Education Work Relationship, Occupational Mobility, Probability
Rose, Michael – 1999
The contribution of occupational profiling to explaining and forecasting job satisfaction were analyzed by using data on job satisfaction for 33,249 workers from waves 1-7 of the British Household Panel Survey. Overall job satisfaction gradients were defined for major and minor groups of occupations in the United Kingdom's Standard Occupational…
Descriptors: Alienation, Attitude Measures, Comparative Analysis, Data Analysis