Data Collection Methods for School Leaders
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.
Action Research is a method of inquiry that involves systematic collectio… #
Action Research is a method of inquiry that involves systematic collection and analysis of data to identify areas for improvement and implement changes, it is often used by school leaders to address specific problems or challenges, and it involves a cyclical process of planning, action, and evaluation, related terms include participatory action research, which involves stakeholders in the research process, and collaborative action research, which involves working with other schools or organizations, examples of action research in schools include studying the effectiveness of a new teaching method or examining the impact of a school-wide initiative on student achievement, practical applications of action research include using data to inform instruction and make data-driven decisions, challenges of action research include ensuring the validity and reliability of the data and maintaining the integrity of the research process.
Assessment is the process of gathering information about student learning… #
Assessment is the process of gathering information about student learning and achievement, it can be formative, which is used to inform instruction and improve student learning, or summative, which is used to evaluate student learning at the end of a lesson or course, related terms include authentic assessment, which involves real-world tasks and projects, and performance assessment, which involves evaluating student performance on specific tasks, examples of assessment in schools include quizzes, tests, and projects, practical applications of assessment include using data to identify areas where students need additional support and informing instruction to meet the needs of all students, challenges of assessment include ensuring that assessments are valid and reliable and avoiding bias in the assessment process.
Benchmarking is the process of comparing data from one school or district… #
Benchmarking is the process of comparing data from one school or district to another, it is often used to identify areas for improvement and set goals for student achievement, related terms include best practices, which are effective strategies and techniques used by other schools or districts, and peer benchmarking, which involves comparing data to similar schools or districts, examples of benchmarking in schools include comparing student achievement data to state or national averages, practical applications of benchmarking include using data to identify areas where schools can improve and informing instruction to meet the needs of all students, challenges of benchmarking include ensuring that the data is accurate and reliable and avoiding complacency and assuming that current practices are effective.
Case Study is a method of research that involves an in #
depth examination of a single case or example, it is often used to gain a deeper understanding of a particular phenomenon or issue, related terms include single case study, which involves studying one case, and multiple case study, which involves studying several cases, examples of case studies in schools include examining the impact of a new program or initiative on student achievement, practical applications of case studies include using data to inform instruction and make data-driven decisions, challenges of case studies include ensuring that the data is generalizable to other contexts and maintaining the integrity of the research process.
Content Analysis is a method of research that involves analyzing and inte… #
Content Analysis is a method of research that involves analyzing and interpreting the meaning of texts, images, or other forms of data, it is often used to examine the content of curriculum materials, educational programs, or other educational resources, related terms include quantitative content analysis, which involves using numerical data to analyze the content, and qualitative content analysis, which involves using non-numerical data to analyze the content, examples of content analysis in schools include analyzing the bias in textbooks or examining the representation of diverse groups in educational materials, practical applications of content analysis include using data to inform instruction and make data-driven decisions, challenges of content analysis include ensuring that the data is valid and reliable and avoiding bias in the analysis process.
Data Mining is the process of using sophisticated statistical techniques… #
Data Mining is the process of using sophisticated statistical techniques to analyze large datasets and identify patterns and trends, it is often used to identify relationships between variables and predict future outcomes, related terms include predictive analytics, which involves using data to predict future outcomes, and descriptive analytics, which involves using data to describe current trends and patterns, examples of data mining in schools include analyzing student achievement data to identify areas where students need additional support, practical applications of data mining include using data to inform instruction and make data-driven decisions, challenges of data mining include ensuring that the data is accurate and reliable and avoiding misinterpretation of the results.
Data Visualization is the process of using graphical representations to c… #
Data Visualization is the process of using graphical representations to communicate data insights and trends, it is often used to help educators and policymakers understand complex data and make data-driven decisions, related terms include infographic, which is a visual representation of data, and dashboard, which is a visual representation of key performance indicators, examples of data visualization in schools include creating graphs and charts to display student achievement data, practical applications of data visualization include using data to inform instruction and make data-driven decisions, challenges of data visualization include ensuring that the data is accurate and reliable and avoiding misinterpretation of the results.
Descriptive Statistics is a branch of statistics that involves using nume… #
Descriptive Statistics is a branch of statistics that involves using numerical data to describe and summarize trends and patterns, it is often used to provide an overview of a dataset and identify areas for further analysis, related terms include mean, which is a measure of central tendency, and median, which is a measure of central tendency, examples of descriptive statistics in schools include calculating the average score on a test or examining the distribution of scores, practical applications of descriptive statistics include using data to inform instruction and make data-driven decisions, challenges of descriptive statistics include ensuring that the data is accurate and reliable and avoiding misinterpretation of the results.
Educational Research is a field of study that involves systematic inquiry… #
Educational Research is a field of study that involves systematic inquiry into the process of education, it is often used to improve teaching and learning and inform educational policy, related terms include qualitative research, which involves using non-numerical data to examine educational phenomena, and quantitative research, which involves using numerical data to examine educational phenomena, examples of educational research in schools include studying the effectiveness of a new teaching method or examining the impact of a school-wide initiative on student achievement, practical applications of educational research include using data to inform instruction and make data-driven decisions, challenges of educational research include ensuring that the data is valid and reliable and maintaining the integrity of the research process.
Evaluation is the process of determining the value or quality</… #
Evaluation is the process of determining the value or quality of a program, policy, or initiative, it is often used to assess the effectiveness of a program or policy and identify areas for improvement, related terms include formative evaluation, which is used to inform the development of a program or policy, and summative evaluation, which is used to evaluate the effectiveness of a program or policy, examples of evaluation in schools include assessing the effectiveness of a new curriculum or examining the impact of a school-wide initiative on student achievement, practical applications of evaluation include using data to inform instruction and make data-driven decisions, challenges of evaluation include ensuring that the data is accurate and reliable and avoiding bias in the evaluation process.
Experimental Design is a method of research that involves manipulating on… #
Experimental Design is a method of research that involves manipulating one or more variables to examine their effect on an outcome, it is often used to establish cause and effect relationships between variables, related terms include randomized controlled trial, which involves randomly assigning participants to treatment or control groups, and quasi experiment, which involves using non-random assignment to treatment or control groups, examples of experimental design in schools include studying the effectiveness of a new teaching method or examining the impact of a school-wide initiative on student achievement, practical applications of experimental design include using data to inform instruction and make data-driven decisions, challenges of experimental design include ensuring that the data is valid and reliable and maintaining the integrity of the research process.
Inferential Statistics is a branch of statistics that involves using nume… #
Inferential Statistics is a branch of statistics that involves using numerical data to make inferences about a population, it is often used to test hypotheses and establish relationships between variables, related terms include t-test, which is a statistical test used to compare means, and ANOVA, which is a statistical test used to compare means, examples of inferential statistics in schools include using data to predict student achievement or examining the relationship between student demographics and achievement, practical applications of inferential statistics include using data to inform instruction and make data-driven decisions, challenges of inferential statistics include ensuring that the data is accurate and reliable and avoiding misinterpretation of the results.
Longitudinal Study is a method of research that involves collecting data… #
Longitudinal Study is a method of research that involves collecting data over an extended period of time, it is often used to examine trends and patterns in data over time, related terms include cohort study, which involves following a group of individuals over time, and panel study, which involves collecting data from the same individuals at multiple points in time, examples of longitudinal studies in schools include examining the progress of students over time or studying the effectiveness of a program or policy over time, practical applications of longitudinal studies include using data to inform instruction and make data-driven decisions, challenges of longitudinal studies include ensuring that the data is accurate and reliable and maintaining the integrity of the research process.
Mixed Methods Research is a method of research that involves combining <i… #
Mixed Methods Research is a method of research that involves combining qualitative and quantitative data and methods, it is often used to provide a more comprehensive understanding of a phenomenon or issue, related terms include triangulation, which involves using multiple methods to examine a phenomenon, and integration, which involves combining qualitative and quantitative data and methods, examples of mixed methods research in schools include studying the effectiveness of a new teaching method or examining the impact of a school-wide initiative on student achievement, practical applications of mixed methods research include using data to inform instruction and make data-driven decisions, challenges of mixed methods research include ensuring that the data is valid and reliable and maintaining the integrity of the research process.
Observational Study is a method of research that involves collecting data… #
Observational Study is a method of research that involves collecting data through observation, it is often used to examine behavior or phenomena in a natural or real-world setting, related terms include participant observation, which involves participating in the setting being observed, and non-participant observation, which involves observing without participating, examples of observational studies in schools include examining classroom behavior or studying the effectiveness of a program or policy, practical applications of observational studies include using data to inform instruction and make data-driven decisions, challenges of observational studies include ensuring that the data is accurate and reliable and avoiding bias in the observation process.
Predictive Analytics is a branch of statistics that involves using data a… #
Predictive Analytics is a branch of statistics that involves using data and statistical models to predict future outcomes, it is often used to identify trends and patterns in data and make informed decisions, related terms include machine learning, which involves using algorithms to make predictions, and data mining, which involves using sophisticated statistical techniques to analyze large datasets, examples of predictive analytics in schools include using data to predict student achievement or examining the relationship between student demographics and achievement, practical applications of predictive analytics include using data to inform instruction and make data-driven decisions, challenges of predictive analytics include ensuring that the data is accurate and reliable and avoiding misinterpretation of the results.
Program Evaluation is the process of determining the value or q… #
Program Evaluation is the process of determining the value or quality of a program, it is often used to assess the effectiveness of a program and identify areas for improvement, related terms include formative evaluation, which is used to inform the development of a program, and summative evaluation, which is used to evaluate the effectiveness of a program, examples of program evaluation in schools include assessing the effectiveness of a new curriculum or examining the impact of a school-wide initiative on student achievement, practical applications of program evaluation include using data to inform instruction and make data-driven decisions, challenges of program evaluation include ensuring that the data is accurate and reliable and avoiding bias in the evaluation process.
Qualitative Research is a method of research that involves collecting and… #
Qualitative Research is a method of research that involves collecting and analyzing non-numerical data, it is often used to gain a deeper understanding of a phenomenon or issue, related terms include case study, which involves an in-depth examination of a single case or example, and content analysis, which involves analyzing and interpreting the meaning of texts, images, or other forms of data, examples of qualitative research in schools include examining the perceptions of students or teachers or studying the effectiveness of a program or policy, practical applications of qualitative research include using data to inform instruction and make data-driven decisions, challenges of qualitative research include ensuring that the data is valid and reliable and maintaining the integrity of the research process.
Quantitative Research is a method of research that involves collecting an… #
Quantitative Research is a method of research that involves collecting and analyzing numerical data, it is often used to examine trends and patterns in data and make informed decisions, related terms include descriptive statistics, which involves using numerical data to describe and summarize trends and patterns, and inferential statistics, which involves using numerical data to make inferences about a population, examples of quantitative research in schools include examining the relationship between student demographics and achievement or studying the effectiveness of a program or policy, practical applications of quantitative research include using data to inform instruction and make data-driven decisions, challenges of quantitative research include ensuring that the data is accurate and reliable and avoiding misinterpretation of the results.
Random Sampling is a method of selecting participants or data that involv… #
Random Sampling is a method of selecting participants or data that involves random assignment, it is often used to ensure that the sample is representative of the population, related terms include stratified sampling, which involves dividing the population into subgroups and randomly sampling from each subgroup, and cluster sampling, which involves randomly sampling from clusters or groups, examples of random sampling in schools include selecting a random sample of students or teachers to participate in a study, practical applications of random sampling include using data to inform instruction and make data-driven decisions, challenges of random sampling include ensuring that the sample is representative of the population and avoiding bias in the sampling process.
Reliability is the extent to which a measure or instrument produces co… #
Reliability is the extent to which a measure or instrument produces consistent results, it is often used to ensure that the data is trustworthy and accurate, related terms include test-retest reliability, which involves administering the same test or instrument at two different times, and inter-rater reliability, which involves having multiple raters or observers evaluate the same data, examples of reliability in schools include ensuring that a test or assessment is reliable or examining the consistency of teacher evaluations, practical applications of reliability include using data to inform instruction and make data-driven decisions, challenges of reliability include ensuring that the data is accurate and reliable and avoiding bias in the measurement process.
Research Design is the plan or structure of a research study, it i… #
Research Design is the plan or structure of a research study, it is often used to ensure that the study is valid and reliable, related terms include experimental design, which involves manipulating one or more variables to examine their effect on an outcome, and quasi experimental design, which involves using non-random assignment to treatment or control groups, examples of research design in schools include studying the effectiveness of a new teaching method or examining the impact of a school-wide initiative on student achievement, practical applications of research design include using data to inform instruction and make data-driven decisions, challenges of research design include ensuring that the data is valid and reliable and maintaining the integrity of the research process.
Sample Size is the number of participants or data points included in a st… #
Sample Size is the number of participants or data points included in a study, it is often used to ensure that the sample is representative of the population, related terms include power analysis, which involves determining the necessary sample size to detect a statistically significant effect, and effect size, which involves determining the magnitude of the effect, examples of sample size in schools include determining the number of students or teachers to include in a study, practical applications of sample size include using data to inform instruction and make data-driven decisions, challenges of sample size include ensuring that the sample is representative of the population and avoiding bias in the sampling process.
Survey Research is a method of research that involves collecting data thr… #
Survey Research is a method of research that involves collecting data through self-report measures, such as questionnaires or interviews, it is often used to examine attitudes or opinions of a group, related terms include questionnaire, which is a self-report measure used to collect data, and interview, which is a self-report measure used to collect data, examples of survey research in schools include examining the perceptions of students or teachers or studying the effectiveness of a program or policy, practical applications of survey research include using data to inform instruction and make data-driven decisions, challenges of survey research include ensuring that the data is valid and reliable and avoiding bias in the measurement process.
Validity is the extent to which a measure or instrument measures what it… #
Validity is the extent to which a measure or instrument measures what it is intended to measure, it is often used to ensure that the data is trustworthy and accurate, related terms include face validity, which involves examining whether the measure appears to measure what it is intended to measure, and construct validity, which involves examining whether the measure actually measures what it is intended to measure, examples of validity in schools include ensuring that a test or assessment is valid or examining the accuracy of teacher evaluations, practical applications of validity include using data to inform instruction and make data-driven decisions, challenges of validity include ensuring that the data is accurate and reliable and avoiding bias in the measurement process.
Variable is a characteristic or attribute that is being measured o… #
Variable is a characteristic or attribute that is being measured or examined in a study, it is often used to examine relationships or trends in data, related terms include independent variable, which is the variable being manipulated or changed, and dependent variable, which is the variable being measured or examined, examples of variables in schools include examining the relationship between student demographics and achievement or studying the effectiveness of a program or policy, practical applications of variables include using data to inform instruction and make data-driven decisions, challenges of variables include ensuring that the data is accurate and reliable and avoiding bias in the measurement process.