Interpreting Data Results for School Improvement
Expert-defined terms from the Advanced Skill Certificate in Data Analysis for School Leaders course at LearnUNI. Free to read, free to share, paired with a professional course.
Academic Achievement refers to the level of success a student achieves in… #
Related terms include Academic Attainment, Academic Performance, and Student Achievement. Academic achievement is a critical aspect of education, as it reflects a student's mastery of subject matter and their ability to apply knowledge and skills in various contexts. In the context of Interpreting Data Results for School Improvement, academic achievement data is used to identify areas of strength and weakness, inform instructional decisions, and evaluate the effectiveness of interventions.
Action Research is a methodology used to investigate and improve educatio… #
Related terms include Action Learning, Practitioner Research, and Teacher Research. Action research is a collaborative and iterative process that involves identifying a problem or area for improvement, collecting and analyzing data, developing and implementing a plan, and evaluating the impact of the intervention. In the context of school improvement, action research can be used to develop and refine instructional strategies, improve student engagement, and enhance teacher professional development.
Assessment is the process of evaluating student learning, often using … #
Related terms include Evaluation, Measurement, and Testing. Assessment can be formative, summative, or diagnostic, and is used to inform instruction, identify areas of need, and evaluate student progress. In the context of Interpreting Data Results for School Improvement, assessment data is used to identify areas of strength and weakness, inform curriculum development, and evaluate the effectiveness of instructional strategies.
Benchmark is a standard or reference point used to measure prog… #
Related terms include Baseline, Criterion, and Standard. Benchmarks can be external, such as state or national standards, or internal, such as school or district standards. In the context of school improvement, benchmarks are used to establish goals and targets for student achievement, and to evaluate progress towards those goals.
Categorical Data refers to data that is nominal or ordinal ,… #
Related terms include Discrete Data, Qualitative Data, and Non-Numeric Data. Categorical data can be univariate or multivariate, and is often analyzed using chi-square tests or logistic regression. In the context of Interpreting Data Results for School Improvement, categorical data is used to identify trends or patterns in student demographics, attendance, or discipline.
Correlation refers to the relationship between two or more variables</… #
Related terms include Association, Relationship, and Dependence. Correlation can be positive, negative, or zero, and is often used to inform predictive models or interventions. In the context of school improvement, correlation analysis is used to identify relationships between student characteristics, instructional strategies, and outcomes.
Data Analysis is the process of examining and interpreting data… #
Related terms include Data Mining, Data Science, and Statistical Analysis. Data analysis can be descriptive, inferential, or predictive, and is used to inform decision-making, evaluate programs, and identify areas for improvement. In the context of Interpreting Data Results for School Improvement, data analysis is used to identify trends or patterns in student achievement, attendance, or discipline.
Data Visualization refers to the use of graphs , charts , and other… #
Related terms include Information Visualization, Visual Analytics, and Data Graphics. Data visualization can be static or interactive, and is often used to present findings or results to audiences. In the context of school improvement, data visualization is used to communicate student achievement data, attendance trends, or discipline patterns to stakeholders.
Effect Size is a statistic used to measure the magnitude of… #
Related terms include Cohen's d, Hedges' g, and Odds Ratio. Effect size can be small, medium, or large, and is often used to inform decision-making or policy development. In the context of school improvement, effect size is used to evaluate the impact of interventions or programs on student achievement or outcomes.
Evaluation is the process of assessing the quality or effective… #
Related terms include Assessment, Appraisal, and Review. Evaluation can be formative, summative, or diagnostic, and is used to identify areas for improvement, inform resource allocation, or justify investments. In the context of school improvement, evaluation is used to assess the effectiveness of interventions or programs on student achievement or outcomes.
Formative Assessment is an ongoing process of evaluating student <… #
Related terms include Diagnostic Assessment, Progress Monitoring, and Summative Assessment. Formative assessment is used to identify areas of strength and need, inform instructional decisions, and adjust teaching strategies to meet student needs. In the context of school improvement, formative assessment is used to monitor student progress towards learning goals and adjust instruction to meet student needs.
Frequency Distribution is a graphical representation of the frequency<… #
Related terms include Histogram, Bar Chart, and Frequency Table. Frequency distribution can be unimodal, bimodal, or multimodal, and is often used to identify patterns or trends in data. In the context of school improvement, frequency distribution is used to visualize student achievement data, attendance trends, or discipline patterns.
Inferential Statistics is a branch of statistics that deals with makin… #
Related terms include Descriptive Statistics, Predictive Modeling, and Statistical Inference. Inferential statistics is used to estimate parameters, test hypotheses, or identify relationships between variables. In the context of school improvement, inferential statistics is used to evaluate the effectiveness of interventions or programs on student achievement or outcomes.
Intervention is a strategy or program designed to improve s… #
Related terms include Program, Strategy, and Initiative. Intervention can be universal, targeted, or intensive, and is often used to address gaps in student achievement or need. In the context of school improvement, intervention is used to enhance student learning or achievement, improve student engagement, or reduce student dropout rates.
Longitudinal Data refers to data that is collected over a perio… #
Related terms include Time-Series Data, Panel Data, and Trend Analysis. Longitudinal data can be retrospective or prospective, and is often used to evaluate the effectiveness of interventions or programs over time. In the context of school improvement, longitudinal data is used to track student progress towards learning goals, evaluate the impact of interventions or programs, or identify trends in student achievement or outcomes.
Mean is a measure of central tendency that averages … #
Related terms include Median, Mode, and Standard Deviation. Mean can be population or sample, and is often used to compare groups or track trends over time. In the context of school improvement, mean is used to describe student achievement levels, track student progress over time, or evaluate the effectiveness of interventions or programs.
Median is a measure of central tendency that divides … #
Related terms include Mean, Mode, and Quartile. Median can be population or sample, and is often used to compare groups or track trends over time. In the context of school improvement, median is used to describe student achievement levels, track student progress over time, or evaluate the effectiveness of interventions or programs.
Normal Distribution is a probability distribution that is symme… #
Related terms include Gaussian Distribution, Bell Curve, and Standard Normal Distribution. Normal distribution can be standardized or non-standardized, and is often used to test hypotheses or estimate parameters. In the context of school improvement, normal distribution is used to model student achievement data, estimate parameters, or test hypotheses about student learning or achievement.
Null Hypothesis is a statement of no effect or no <b… #
Related terms include Alternative Hypothesis, Research Hypothesis, and Statistical Hypothesis. Null hypothesis can be one-tailed or two-tailed, and is often used to test hypotheses about means, proportions, or relationships between variables. In the context of school improvement, null hypothesis is used to test hypotheses about student learning or achievement, evaluate the effectiveness of interventions or programs, or identify areas for improvement.
Outcome is a result or consequence of a process or inter… #
Related terms include Result, Consequence, and Impact. Outcome can be short-term or long-term, and is often used to inform decision-making or resource allocation. In the context of school improvement, outcome is used to evaluate the effectiveness of interventions or programs on student achievement or outcomes, track student progress over time, or identify areas for improvement.
Predictive Modeling is a statistical method used to forecast or <i… #
Related terms include Regression Analysis, Time-Series Analysis, and Machine Learning. Predictive modeling can be parametric or non-parametric, and is often used to identify risk factors, predict student outcomes, or inform interventions or programs. In the context of school improvement, predictive modeling is used to forecast student achievement or outcomes, identify risk factors, or inform interventions or programs.
Quartile is a measure of position that divides a set of … #
Related terms include Percentile, Decile, and Median. Quartile can be first, second, third, or fourth, and is often used to compare groups or track trends over time. In the context of school improvement, quartile is used to describe student achievement levels, track student progress over time, or evaluate the effectiveness of interventions or programs.
Regression Analysis is a statistical method used to model the r… #
Related terms include Linear Regression, Logistic Regression, and Multiple Regression. Regression analysis can be simple or multiple, and is often used to inform decision-making or resource allocation. In the context of school improvement, regression analysis is used to model the relationship between student characteristics and outcomes, predict student achievement or outcomes, or identify areas for improvement.
Reliability refers to the consistency or dependability of a mea… #
Related terms include Validity, Accuracy, and Precision. Reliability can be test-retest, inter-rater, or internal, and is often used to inform decision-making or resource allocation. In the context of school improvement, reliability is used to evaluate the quality of student achievement data, assess the consistency of instructional practices, or inform interventions or programs.
Sample is a subset of a population that is selected for … #
Related terms include Population, Census, and Sampling Frame. Sample can be random, stratified, or convenience, and is often used to inform decision-making or resource allocation. In the context of school improvement, sample is used to estimate student achievement levels, evaluate the effectiveness of interventions or programs, or identify areas for improvement.
Standard Deviation is a measure of variability that describes</… #
Related terms include Variance, Range, and Interquartile Range. Standard deviation can be population or sample, and is often used to compare groups or track trends over time. In the context of school improvement, standard deviation is used to describe student achievement levels, track student progress over time, or evaluate the effectiveness of interventions or programs.
Statistical Significance is a concept that refers to the probability</… #
Related terms include p-Value, Alpha Level, and Confidence Interval. Statistical significance can be one-tailed or two-tailed, and is often used to inform decision-making or resource allocation. In the context of school improvement, statistical significance is used to evaluate the effectiveness of interventions or programs, identify areas for improvement, or inform policy or practice decisions.
Summative Assessment is a process of evaluating student learnin… #
Related terms include Formative Assessment, Diagnostic Assessment, and Evaluative Assessment. Summative assessment can be high-stakes or low-stakes, and is often used to inform grade levels, promotions, or graduation decisions. In the context of school improvement, summative assessment is used to evaluate student achievement or mastery of learning objectives, track student progress over time, or identify areas for improvement.
Survey is a research method used to collect self #
report data from a sample of individuals, often used to gather information about attitudes, beliefs, or behaviors. Related terms include Questionnaire, Interview, and Focus Group. Survey can be online, paper-based, or in-person, and is often used to inform decision-making or resource allocation. In the context of school improvement, survey is used to gather information about student engagement, motivation, or satisfaction, evaluate the effectiveness of interventions or programs, or identify areas for improvement.
Systemic Change refers to a fundamental transformation of a sys… #
Related terms include Organizational Change, Institutional Change, and Reform. Systemic change can be incremental or radical, and is often used to address systemic inequities or barriers to improvement. In the context of school improvement, systemic change is used to transform instructional practices, improve student outcomes, or enhance teacher professional development.
Validity refers to the extent to which a measure or instrument<… #
Related terms include Reliability, Accuracy, and Precision. Validity can be face, content, criterion, or construct, and is often used to inform decision-making or resource allocation. In the context of school improvement, validity is used to evaluate the quality of student achievement data, assess the effectiveness of interventions or programs, or inform policy or practice decisions.
Variable is a characteristic or attribute that can take on… #
Related terms include Predictor, Outcome, and Covariate. Variable can be dependent, independent, or control, and is often used to inform decision-making or resource allocation. In the context of school improvement, variable is used to describe student characteristics, predict student outcomes, or identify relationships between variables.
Visualization is the process of creating graphs , charts<… #
Related terms include Data Visualization, Information Visualization, and Visual Analytics. Visualization can be static or interactive, and is often used to present findings or results to audiences. In the context of school improvement, visualization is used to communicate student achievement data, track student progress over time, or identify areas for improvement.