"The collection, organization and analysis of evidence to increase understanding of a topic."
The tools and techniques used in researching school psychology topics, including research design, data collection, and statistical analysis.
Introduction to Research: Familiarize yourself with the research process, the different types of research, ethical considerations, and the research question.
Research Design: Learn about observational and experimental research, cross-sectional vs. longitudinal studies, and designing research studies.
Variables and Hypotheses: Understand dependent and independent variables, operational definitions for variables, and understand how to formulate hypotheses.
Sampling Techniques: Learn about probability vs. non-probability sampling, random and systematic sampling, and the advantages and disadvantages of each sampling technique.
Data Collection Techniques: Learn about standardized tests, observational methods, surveys, interviews, and focus groups.
Reliable and Valid Instruments: Understand the reliability and validity of research instruments.
Data Analysis Techniques: Learn about descriptive and inferential statistics, and how to apply these techniques to your data.
Testing Statistical Significance: Learn about null hypotheses, levels of significance, and how to test statistical significance.
Correlation and Regression Analysis: Understand how to determine correlation and regression coefficients, and how to model relationships between variables.
Experimental Research: Understand experimental design and control groups, random assignment, and ethical concerns.
Quasi-experimental Research: Understand the limitations and advantages of quasi-experimental design, interrupted time series design, and regression discontinuity design.
Meta-Analysis: Learn about this statistical technique that combines data from multiple studies to draw conclusions.
Reporting Research: Understand how to write an APA-style research paper or a basic statistics report, including how to cite sources and report your results.
Program Evaluation: Understand the importance of evaluating the effectiveness of a program, the different types of evaluations, and the methods by which they can be conducted.
Experimental research: This research method involves testing a hypothesis by controlling variables, selecting a random sample, and measuring the effects of changes in the independent variable on the dependent variable.
Correlational research: This research method involves measuring the relationship between two or more variables to determine whether there is a relationship between them.
Case study: This research method involves studying an individual or group in-depth to gain a better understanding of their experiences, behaviors, and attitudes.
Survey research: This research method involves collecting data from a large number of people using questionnaires or interviews.
Observational research: This research method involves observing and recording behavior in a natural setting to gain a better understanding of the context in which the behavior occurs.
Quasi-experimental research: This research method involves testing a hypothesis by manipulating an independent variable with limited control over other variables.
Longitudinal research: This research method involves studying a group of individuals over a long period to observe changes in behavior, attitudes, or outcomes.
Meta-analysis: This statistical technique involves combining the results of several studies to determine the overall effect of an intervention or treatment.
Factor analysis: This statistical method involves identifying underlying factors that contribute to a particular behavior, attitude, or phenomenon.
Regression analysis: This statistical method involves studying the relationship between two or more variables to determine the extent to which one variable predicts changes in another variable.
Descriptive statistics: This statistical method involves summarizing data to describe key features of a sample, such as the mean, standard deviation, and range.
Inferential statistics: This statistical method involves making inferences about a population based on a sample, such as testing for significance or comparing groups.
Structural equation modeling: This statistical method involves testing complex models of relationships between variables to understand the underlying causal mechanisms.
Multilevel modeling: This statistical method involves analyzing data that has a hierarchical structure, such as data from students nested within classrooms or schools.
Latent class analysis: This statistical method involves identifying groups of individuals with similar characteristics or behaviors based on observed variables.
"Documentation, discovery, interpretation, and the research and development (R&D) of methods and systems for the advancement of human knowledge."
"Basic research focuses on documentation, discovery, and interpretation, while applied research aims to solve specific practical problems."
"There are several forms of research: scientific, humanities, artistic, economic, social, business, marketing, practitioner research, life, technological, etc."
"It involves the collection, organization and analysis of evidence to increase understanding of a topic."
"The scientific study of research practices."
"One should have enormous knowledge of subjects related to social science that they are specialized in."
"The person should have in-depth knowledge in fields related to natural science (physics, chemistry, biology, astronomy, zoology, and so on)." Note: I could not find direct quotes for questions 9-20.