Experimental research is the most conclusive scientific method because the researcher directly manipulates the independent variable and studies its effects on the dependent variable. This allows the researcher to determine causation, unlike other research methods. The purpose is to establish cause-and-effect relationships between variables. Basic steps include having an experimental group that receives a treatment and a control group that does not, then comparing outcomes. Key characteristics include random assignment to control threats to internal validity. Poor designs do not include control groups or random assignment, making it impossible to determine if results are due to the treatment.
This document discusses quasi-experimental research design. Quasi-experimental research involves manipulating an independent variable to observe its effects, but unlike true experiments, it lacks random assignment or a control group. The two main types discussed are non-randomized control group design, where groups are not randomly assigned but a control receives no treatment, and time series design, where a treatment is applied and removed over multiple time periods to a small group. Quasi-experimental designs are more practical than true experiments when randomization is not possible but allow evaluation of treatment effects under natural conditions.
Single-group design involves administering a treatment to a group and measuring the effects, without a control group. It requires continuous assessment before, during, and after intervention to measure variability in responses. Advantages include ease of implementation and illustrating dramatic changes, while disadvantages are lack of controls and limited application. Common single-subject designs include AB, withdrawal, multiple baseline, changing criterion, and multiple probe designs.
Quantitative approach, type, characteristics, advantagesPrincy Francis M
This document discusses quantitative research methods, including experimental, quasi-experimental, and non-experimental designs. It defines quantitative research as involving testing a theory by measuring variables numerically and analyzing results statistically. Experimental designs allow control and manipulation of variables but can be difficult to conduct on humans. Quasi-experimental and non-experimental designs are more practical but have less control. Non-experimental designs simply observe phenomena as they occur naturally.
Experimental research uses manipulation and controlled testing to understand causal relationships between variables. It involves manipulating one or more independent variables and observing their effect on a dependent variable. There are three main types of experimental designs: pre-experimental, true experimental, and quasi-experimental. True experiments have control groups, random assignment, and manipulation of a single independent variable. Quasi-experiments lack random assignment. Experimental research is commonly used in fields like psychology, medicine, and social sciences to establish causal relationships.
Scales are tools used to measure how individuals differ on variables of interest. There are four main types of scales: nominal scales assign subjects to categories, ordinal scales denote differences and rank categories, interval scales allow arithmetic operations on data, and ratio scales measure magnitude and proportions of differences. Examples provided include using Likert scales to rate agreement, ranking apps, and comparing boys and girls in a ratio. Various other scale types were also outlined such as dichotomous, category, semantic differential, numerical, Stapel, graphic rating, and forced choice scales. The presentation concluded with describing measures of central tendency and dispersion that correspond to each scale type, along with some common tests of significance.
This document discusses quasi-experimental research design. Quasi-experimental design involves manipulating an independent variable to observe its effects on a dependent variable, but lacks random assignment of subjects to groups or a control group, unlike a true experiment. The two main types discussed are non-randomized control group design and time series design. Non-randomized control group design assesses the effect of a treatment by giving it to an experimental group and not a control group, without random assignment, while measuring the dependent variable before and after for both groups. Time series design measures the dependent variable multiple times before, during, and after administering a treatment over a long period, such as weekly measurements of student performance before and after a new teaching technique.
Research Methodology
topic:- Hypothesis
subtopics:-
meaning and definition
utility of hypothesis
sources of hypothesis
testing of hypothesis
kinds of hypothesis
characteristics of hypothesis
formulation
remedies
Experimental research is the most conclusive scientific method because the researcher directly manipulates the independent variable and studies its effects on the dependent variable. This allows the researcher to determine causation, unlike other research methods. The purpose is to establish cause-and-effect relationships between variables. Basic steps include having an experimental group that receives a treatment and a control group that does not, then comparing outcomes. Key characteristics include random assignment to control threats to internal validity. Poor designs do not include control groups or random assignment, making it impossible to determine if results are due to the treatment.
This document discusses quasi-experimental research design. Quasi-experimental research involves manipulating an independent variable to observe its effects, but unlike true experiments, it lacks random assignment or a control group. The two main types discussed are non-randomized control group design, where groups are not randomly assigned but a control receives no treatment, and time series design, where a treatment is applied and removed over multiple time periods to a small group. Quasi-experimental designs are more practical than true experiments when randomization is not possible but allow evaluation of treatment effects under natural conditions.
Single-group design involves administering a treatment to a group and measuring the effects, without a control group. It requires continuous assessment before, during, and after intervention to measure variability in responses. Advantages include ease of implementation and illustrating dramatic changes, while disadvantages are lack of controls and limited application. Common single-subject designs include AB, withdrawal, multiple baseline, changing criterion, and multiple probe designs.
Quantitative approach, type, characteristics, advantagesPrincy Francis M
This document discusses quantitative research methods, including experimental, quasi-experimental, and non-experimental designs. It defines quantitative research as involving testing a theory by measuring variables numerically and analyzing results statistically. Experimental designs allow control and manipulation of variables but can be difficult to conduct on humans. Quasi-experimental and non-experimental designs are more practical but have less control. Non-experimental designs simply observe phenomena as they occur naturally.
Experimental research uses manipulation and controlled testing to understand causal relationships between variables. It involves manipulating one or more independent variables and observing their effect on a dependent variable. There are three main types of experimental designs: pre-experimental, true experimental, and quasi-experimental. True experiments have control groups, random assignment, and manipulation of a single independent variable. Quasi-experiments lack random assignment. Experimental research is commonly used in fields like psychology, medicine, and social sciences to establish causal relationships.
Scales are tools used to measure how individuals differ on variables of interest. There are four main types of scales: nominal scales assign subjects to categories, ordinal scales denote differences and rank categories, interval scales allow arithmetic operations on data, and ratio scales measure magnitude and proportions of differences. Examples provided include using Likert scales to rate agreement, ranking apps, and comparing boys and girls in a ratio. Various other scale types were also outlined such as dichotomous, category, semantic differential, numerical, Stapel, graphic rating, and forced choice scales. The presentation concluded with describing measures of central tendency and dispersion that correspond to each scale type, along with some common tests of significance.
This document discusses quasi-experimental research design. Quasi-experimental design involves manipulating an independent variable to observe its effects on a dependent variable, but lacks random assignment of subjects to groups or a control group, unlike a true experiment. The two main types discussed are non-randomized control group design and time series design. Non-randomized control group design assesses the effect of a treatment by giving it to an experimental group and not a control group, without random assignment, while measuring the dependent variable before and after for both groups. Time series design measures the dependent variable multiple times before, during, and after administering a treatment over a long period, such as weekly measurements of student performance before and after a new teaching technique.
Research Methodology
topic:- Hypothesis
subtopics:-
meaning and definition
utility of hypothesis
sources of hypothesis
testing of hypothesis
kinds of hypothesis
characteristics of hypothesis
formulation
remedies
This document discusses qualitative research methods for data collection. It describes three main qualitative data collection techniques: participant observation, in-depth interviews, and focus group interviews. Participant observation involves the researcher observing participant behavior and interactions over time to understand their culture and meanings. In-depth interviews allow participants to describe their experiences. Focus groups are interviews with 6-12 participants who discuss their common experiences. The document outlines the steps and considerations for each technique.
This document provides information on research design. It begins by defining research design and its key elements. Research design aims to combine relevance to the research purpose with economy in procedure. It indicates decisions regarding what, where, when, how much, and by what means for a research study.
The document then discusses the need for research design, which includes facilitating smooth research operations, minimizing bias and maximizing reliability of results, providing guidance to researchers, and preventing misleading conclusions without a design. Key features of a good research design are also outlined.
Finally, the document outlines different types of research design including exploratory, descriptive, diagnostic, experimental, laboratory experiments, and field experiments. The differences between exploratory and descriptive research designs
This document provides an overview of quantitative research designs that are frequently used in educational research, including experimental, correlational, and survey designs. It defines experimental design and describes different types of experimental designs such as true experiments, quasi-experiments, and factorial designs. It also discusses correlational research design, survey research design, and provides the objectives, characteristics, and steps for each design. Finally, it discusses some common ethical issues for each research design.
This document provides an introduction to hypotheses, including definitions, characteristics, purposes, variables, sources, and types of hypotheses. It defines a hypothesis as a tentative statement made to explain certain facts or observations that can be tested. Hypotheses should be clear, specific, testable, limited in scope, and logically consistent. The sources of hypotheses include theories, observations, past experiences, and case studies. The document outlines different types of hypotheses and gives an example of a research hypothesis. It also describes common hypothesis tests like t-tests, z-tests, ANOVA, and chi-square tests and notes that good decisions come from effective research.
The document discusses research design and its key principles. It defines research design as a plan or blueprint for conducting a study that maximizes control over interfering factors and validity of findings. Some key points made:
- Research design refers to how a study will be conducted, the type of data collected, and means used to obtain the data.
- Reliability refers to consistency of data, while validity refers to accuracy and truth of measurements.
- Threats to validity include history, selection, testing, instrumentation, maturation, and mortality.
- Descriptive, experimental, and qualitative designs are three basic types of research design.
This document discusses the process of conducting surveys. It defines what a survey is and lists its key characteristics. The document outlines the main steps in conducting a survey, which include: defining the problem, identifying the target population, choosing the data collection mode, selecting a sample, preparing the instrument, pretesting the instrument, and training interviewers. It also discusses different types of surveys, sampling techniques, question formats, and other considerations for designing an effective survey.
This document discusses different types of research design: exploratory, descriptive, and explanatory. Exploratory design is used to investigate a new area and form hypotheses. Descriptive design aims to describe a problem and its solutions. Methods include surveys, observations, and case studies. Explanatory design identifies causal links between variables through methods like literature reviews, in-depth interviews, and case analysis. The document emphasizes that research design provides a logical plan for conducting a study to maximize valid answers to research questions through the appropriate use of exploratory, descriptive, or explanatory approaches.
Hypothesis types, formulation, and testingAneesa Ch
This document defines and describes different types of hypotheses used in quantitative research. It begins by defining a hypothesis as a prediction about the relationship between variables. There are two main types of hypotheses: the null hypothesis, which predicts no relationship, and the alternative hypothesis, which predicts a relationship. The alternative can be directional, specifying an expected direction of the relationship, or non-directional. For a hypothesis to be testable and useful for experimentation, it must be possible to prove it true or false and the results must be reproducible. The process of hypothesis testing involves stating the hypotheses, developing a test plan, analyzing data according to the plan, and rejecting or supporting the null hypothesis based on results.
This document outlines the key aspects of research including: defining research as a systematic process of investigating a problem through collecting data to answer a question; describing the main types of research such as fundamental, quantitative, applied, and qualitative; and explaining the common steps of research such as formulating the problem, developing hypotheses, collecting and analyzing data, and reporting results. The overall goal of research is to increase knowledge and understanding of a topic.
This document discusses research design and defines key terms like reliability, validity, and threats to validity. It describes several types of research designs including experimental designs like pretest-posttest control group design and posttest only control group design. It also covers quasi-experimental designs like non-equivalent control group design and time series design. The purpose of choosing an appropriate research design is to minimize errors and reach valid conclusions by considering factors like random assignment, control groups, pretesting, and posttesting.
1) The document discusses different types of measurement scales including nominal, ordinal, interval, and ratio scales.
2) Each scale has unique properties - nominal scales classify data into categories without order, ordinal scales rank data, interval scales have equal units but no true zero, and ratio scales have a true zero point.
3) The appropriate statistical analysis depends on the level of measurement as nominal scales can only be categorized while ratio scales allow for all mathematical operations.
The document discusses various aspects of research design. It defines research design and notes that it involves decisions about what, where, when, how much and by what means an inquiry will be conducted. It outlines requirements like identifying the type of research, being realistic and precise. Factors affecting research design are also discussed, like availability of data, time and resources. The main parts of research design are described as sampling design, observational design, statistical design and operational design. Different types of research designs are explained, including exploratory, descriptive, diagnostic and experimental designs. Key concepts in research design are also covered.
The document provides an overview of research methodology. It defines research and describes the objectives and characteristics of research. It discusses the scientific method, including basic postulates and criteria for good research. It also outlines the research process, including defining the research problem and reviewing literature. The summary covers the key aspects of research methodology discussed in the document such as the meaning of research, objectives of research, characteristics of the scientific method, criteria for good research, and steps in the research process.
Experimental research aims to investigate cause-and-effect relationships between variables by manipulating the independent variable and studying its effects on the dependent variable. It differs from other research in that the researcher establishes different treatments to study their effects, allowing them to determine what causes relationships. True experimental designs use random assignment of subjects to treatment groups to control for threats to internal validity like subject characteristics. Poor designs have fewer controls for threats like history, maturation, and testing effects.
Research Meaning, Definition, Research Process, Types and MotivesRajaKrishnan M
This document discusses research methodology and was presented by S. Harithaa. It defines research as a systematic method for seeking answers to questions through data collection and analysis. The research process involves selecting a topic, reviewing literature, designing the study, collecting and analyzing data, interpreting results, and drawing conclusions. Research has objectives like exploring phenomena, producing new knowledge, making discoveries or policies, and testing hypotheses. It is undertaken for motives such as obtaining degrees, solving problems, gaining knowledge, or contributing to society. There are four main types of research: descriptive vs analytical, quantitative vs qualitative, conceptual vs empirical, and applied vs fundamental.
Topics:
Quantitative research
Characteristics of Quantitative Research
Strengths of Quantitative Research
Weaknesses of Quantitative Research
Importance of Quantitative Research Across Fields
TYPES OF QUANTITATIVE RESEARCH DESIGN
This document outlines the key elements of quantitative research including hypothesis testing, variables, sampling methods, measurement, validity and reliability, statistical analysis, and causal relationships. Quantitative research aims to systematically test hypotheses through precise standardized measurement and statistical analysis of numerical data. Variables are defined, data is collected from samples using standardized tools and procedures, and results are analyzed using statistical techniques to determine relationships between variables and test hypotheses. The goal is to explain phenomena through objective and replicable quantitative analysis.
Definition of Hypothesis
Characteristics of Hypothesis
Types of Hypothesis
Roles/ Functions of Hypothesis
Importance of Hypothesis
Sources of Hypothesis
Experimental research involves systematically manipulating and controlling variables to determine their effect on other variables. It is commonly used in sciences to understand causal relationships. Key aspects of experimental research include sampling groups correctly, using control groups for comparison, conducting pilot studies to test the design, identifying and controlling confounding variables, and analyzing data quantitatively to draw valid conclusions about causal effects. Well-designed experiments allow researchers to explain phenomena through investigating cause-and-effect relationships.
This document discusses conducting a correlation research study to determine if there is a relationship between secondary school students' academic performance and their medium of instruction in school. It outlines developing a null hypothesis that performance is not related to medium of instruction and collecting academic performance data from Chinese/English medium schools. It also describes calculating a correlation coefficient and what conclusions could be drawn based on the value, as well as potential follow up analyses to help inform improvements to teaching and learning.
The document discusses a research study that aims to investigate the relationship between students' participation in online forums during learning and their use of computers at home. It hypothesizes that there is a positive correlation between the two variables. The study will collect data on the number of online notes students read and contributed to as well as the number of hours they use computers at home. It will analyze the data using statistical measures like mean, median, mode, standard deviation, and Pearson's correlation coefficient.
This document discusses qualitative research methods for data collection. It describes three main qualitative data collection techniques: participant observation, in-depth interviews, and focus group interviews. Participant observation involves the researcher observing participant behavior and interactions over time to understand their culture and meanings. In-depth interviews allow participants to describe their experiences. Focus groups are interviews with 6-12 participants who discuss their common experiences. The document outlines the steps and considerations for each technique.
This document provides information on research design. It begins by defining research design and its key elements. Research design aims to combine relevance to the research purpose with economy in procedure. It indicates decisions regarding what, where, when, how much, and by what means for a research study.
The document then discusses the need for research design, which includes facilitating smooth research operations, minimizing bias and maximizing reliability of results, providing guidance to researchers, and preventing misleading conclusions without a design. Key features of a good research design are also outlined.
Finally, the document outlines different types of research design including exploratory, descriptive, diagnostic, experimental, laboratory experiments, and field experiments. The differences between exploratory and descriptive research designs
This document provides an overview of quantitative research designs that are frequently used in educational research, including experimental, correlational, and survey designs. It defines experimental design and describes different types of experimental designs such as true experiments, quasi-experiments, and factorial designs. It also discusses correlational research design, survey research design, and provides the objectives, characteristics, and steps for each design. Finally, it discusses some common ethical issues for each research design.
This document provides an introduction to hypotheses, including definitions, characteristics, purposes, variables, sources, and types of hypotheses. It defines a hypothesis as a tentative statement made to explain certain facts or observations that can be tested. Hypotheses should be clear, specific, testable, limited in scope, and logically consistent. The sources of hypotheses include theories, observations, past experiences, and case studies. The document outlines different types of hypotheses and gives an example of a research hypothesis. It also describes common hypothesis tests like t-tests, z-tests, ANOVA, and chi-square tests and notes that good decisions come from effective research.
The document discusses research design and its key principles. It defines research design as a plan or blueprint for conducting a study that maximizes control over interfering factors and validity of findings. Some key points made:
- Research design refers to how a study will be conducted, the type of data collected, and means used to obtain the data.
- Reliability refers to consistency of data, while validity refers to accuracy and truth of measurements.
- Threats to validity include history, selection, testing, instrumentation, maturation, and mortality.
- Descriptive, experimental, and qualitative designs are three basic types of research design.
This document discusses the process of conducting surveys. It defines what a survey is and lists its key characteristics. The document outlines the main steps in conducting a survey, which include: defining the problem, identifying the target population, choosing the data collection mode, selecting a sample, preparing the instrument, pretesting the instrument, and training interviewers. It also discusses different types of surveys, sampling techniques, question formats, and other considerations for designing an effective survey.
This document discusses different types of research design: exploratory, descriptive, and explanatory. Exploratory design is used to investigate a new area and form hypotheses. Descriptive design aims to describe a problem and its solutions. Methods include surveys, observations, and case studies. Explanatory design identifies causal links between variables through methods like literature reviews, in-depth interviews, and case analysis. The document emphasizes that research design provides a logical plan for conducting a study to maximize valid answers to research questions through the appropriate use of exploratory, descriptive, or explanatory approaches.
Hypothesis types, formulation, and testingAneesa Ch
This document defines and describes different types of hypotheses used in quantitative research. It begins by defining a hypothesis as a prediction about the relationship between variables. There are two main types of hypotheses: the null hypothesis, which predicts no relationship, and the alternative hypothesis, which predicts a relationship. The alternative can be directional, specifying an expected direction of the relationship, or non-directional. For a hypothesis to be testable and useful for experimentation, it must be possible to prove it true or false and the results must be reproducible. The process of hypothesis testing involves stating the hypotheses, developing a test plan, analyzing data according to the plan, and rejecting or supporting the null hypothesis based on results.
This document outlines the key aspects of research including: defining research as a systematic process of investigating a problem through collecting data to answer a question; describing the main types of research such as fundamental, quantitative, applied, and qualitative; and explaining the common steps of research such as formulating the problem, developing hypotheses, collecting and analyzing data, and reporting results. The overall goal of research is to increase knowledge and understanding of a topic.
This document discusses research design and defines key terms like reliability, validity, and threats to validity. It describes several types of research designs including experimental designs like pretest-posttest control group design and posttest only control group design. It also covers quasi-experimental designs like non-equivalent control group design and time series design. The purpose of choosing an appropriate research design is to minimize errors and reach valid conclusions by considering factors like random assignment, control groups, pretesting, and posttesting.
1) The document discusses different types of measurement scales including nominal, ordinal, interval, and ratio scales.
2) Each scale has unique properties - nominal scales classify data into categories without order, ordinal scales rank data, interval scales have equal units but no true zero, and ratio scales have a true zero point.
3) The appropriate statistical analysis depends on the level of measurement as nominal scales can only be categorized while ratio scales allow for all mathematical operations.
The document discusses various aspects of research design. It defines research design and notes that it involves decisions about what, where, when, how much and by what means an inquiry will be conducted. It outlines requirements like identifying the type of research, being realistic and precise. Factors affecting research design are also discussed, like availability of data, time and resources. The main parts of research design are described as sampling design, observational design, statistical design and operational design. Different types of research designs are explained, including exploratory, descriptive, diagnostic and experimental designs. Key concepts in research design are also covered.
The document provides an overview of research methodology. It defines research and describes the objectives and characteristics of research. It discusses the scientific method, including basic postulates and criteria for good research. It also outlines the research process, including defining the research problem and reviewing literature. The summary covers the key aspects of research methodology discussed in the document such as the meaning of research, objectives of research, characteristics of the scientific method, criteria for good research, and steps in the research process.
Experimental research aims to investigate cause-and-effect relationships between variables by manipulating the independent variable and studying its effects on the dependent variable. It differs from other research in that the researcher establishes different treatments to study their effects, allowing them to determine what causes relationships. True experimental designs use random assignment of subjects to treatment groups to control for threats to internal validity like subject characteristics. Poor designs have fewer controls for threats like history, maturation, and testing effects.
Research Meaning, Definition, Research Process, Types and MotivesRajaKrishnan M
This document discusses research methodology and was presented by S. Harithaa. It defines research as a systematic method for seeking answers to questions through data collection and analysis. The research process involves selecting a topic, reviewing literature, designing the study, collecting and analyzing data, interpreting results, and drawing conclusions. Research has objectives like exploring phenomena, producing new knowledge, making discoveries or policies, and testing hypotheses. It is undertaken for motives such as obtaining degrees, solving problems, gaining knowledge, or contributing to society. There are four main types of research: descriptive vs analytical, quantitative vs qualitative, conceptual vs empirical, and applied vs fundamental.
Topics:
Quantitative research
Characteristics of Quantitative Research
Strengths of Quantitative Research
Weaknesses of Quantitative Research
Importance of Quantitative Research Across Fields
TYPES OF QUANTITATIVE RESEARCH DESIGN
This document outlines the key elements of quantitative research including hypothesis testing, variables, sampling methods, measurement, validity and reliability, statistical analysis, and causal relationships. Quantitative research aims to systematically test hypotheses through precise standardized measurement and statistical analysis of numerical data. Variables are defined, data is collected from samples using standardized tools and procedures, and results are analyzed using statistical techniques to determine relationships between variables and test hypotheses. The goal is to explain phenomena through objective and replicable quantitative analysis.
Definition of Hypothesis
Characteristics of Hypothesis
Types of Hypothesis
Roles/ Functions of Hypothesis
Importance of Hypothesis
Sources of Hypothesis
Experimental research involves systematically manipulating and controlling variables to determine their effect on other variables. It is commonly used in sciences to understand causal relationships. Key aspects of experimental research include sampling groups correctly, using control groups for comparison, conducting pilot studies to test the design, identifying and controlling confounding variables, and analyzing data quantitatively to draw valid conclusions about causal effects. Well-designed experiments allow researchers to explain phenomena through investigating cause-and-effect relationships.
This document discusses conducting a correlation research study to determine if there is a relationship between secondary school students' academic performance and their medium of instruction in school. It outlines developing a null hypothesis that performance is not related to medium of instruction and collecting academic performance data from Chinese/English medium schools. It also describes calculating a correlation coefficient and what conclusions could be drawn based on the value, as well as potential follow up analyses to help inform improvements to teaching and learning.
The document discusses a research study that aims to investigate the relationship between students' participation in online forums during learning and their use of computers at home. It hypothesizes that there is a positive correlation between the two variables. The study will collect data on the number of online notes students read and contributed to as well as the number of hours they use computers at home. It will analyze the data using statistical measures like mean, median, mode, standard deviation, and Pearson's correlation coefficient.
This document discusses ex post facto research, which investigates causes and effects after they have been manifested. It describes two approaches - starting with subjects differing on an independent variable or dependent variable. Key points include characteristics like examining causes retrospectively, advantages like exploring relationships when experiments aren't possible, and disadvantages like inability to prove causation. The stages of an ex post facto investigation are outlined, including defining the problem, hypotheses, data collection methods, and analysis. Controls in this type of research include matching groups and accounting for extraneous variables.
This document discusses conducting research to determine the correlation between time spent reading English books and student achievement on the English language portion of standardized tests. It proposes collecting reading time data from students over half a year and administering an English test to analyze the relationship. If a positive correlation is found, the document suggests schools may consider designating more mandatory reading time for students, such as an after-school reading lesson. It notes reading is one of several factors that can improve English and does not account for the difficulty level of books students read.
This document outlines a study investigating the relationship between student academic achievement in social science and the use of information and communication technology (ICT) in the classroom. The study will collect test score and ICT usage data from a sample primary school class and compute the correlation coefficient to determine the strength of the relationship. If a positive correlation greater than 0.5 is found, it may indicate that increasing ICT use could improve student performance in social science. However, the study does not account for other factors that influence academic achievement.
The document discusses four examples of research questions related to correlation analysis. The examples examine: 1) the relationship between family income and student exam performance, 2) the relationship between knowledge of phonetic symbols and English motivation, 3) the relationship between university student admission type and academic performance, and 4) the relationship between prior IT coursework and performance in computer science. For each example, the document outlines the research question, variables, data collection method, hypothesis testing, analysis using correlation coefficients, and significance of findings.
This document defines correlation as the relationship between two variables and how they depart from independence. It provides examples of correlational research questions about the relationship between time spent on homework and grades or junk food in schools and obesity. While correlation suggests an association, it does not prove that one variable causes the other. The example of past beliefs about ulcers being caused by stress and spicy foods is given, but researchers now know ulcers are actually caused by H. pylori bacteria. Correlation research can help design better experimental studies to understand causation.
Causal Comparative Research At least two different groups are compared on a dependent variable or measure of performance (called the “effect”) because the independent variable (called the “cause”) has already occurred or cannot be manipulated. Dependent variable-the change or difference occurring as a result of the independent variable. Independent variable- an activity of characteristic believed to make a difference with respect to some behavior.
Causal comparative research involves comparing at least two groups that differ on some independent variable to determine the cause of existing differences on a dependent variable. It aims to identify cause-and-effect relationships when the independent variable cannot be manipulated. Researchers select groups that naturally differ on the independent variable, measure the dependent variable, and analyze differences between groups to infer potential causal relationships. Extraneous variables must also be considered and controlled for when possible.
This document describes descriptive research and survey research methods. Descriptive research aims to describe characteristics of a population without determining causes. Survey research involves asking questions of respondents using methods like questionnaires and interviews. The document outlines approaches like case studies and surveys, and survey designs including cross-sectional, before-after, and longitudinal studies. It also discusses steps to conduct surveys, question formats, data collection modes, and advantages and limitations of interviews and questionnaires.
Overviews non-parametric and parametric approaches to (bivariate) linear correlation. See also: http://en.wikiversity.org/wiki/Survey_research_and_design_in_psychology/Lectures/Correlation
The document provides an overview of survey research and questionnaire design. It discusses that surveys are used to collect data and facts from a target population about a certain situation or issue. The key steps in survey research include developing hypotheses, designing the survey questions and format, sampling, data collection, analysis, and reporting findings. It also describes different types of surveys, methods of data collection including mail, interview and telephone surveys, and considerations for question structure, format, and response options. The document emphasizes that carefully designing and testing the questionnaire is important for effective survey research.
Correlational research designs examine relationships between two or more variables without manipulating any variables. They are used to describe and measure the degree of association between variables or sets of scores. There are two main types of correlational designs: explanatory/explanation designs which examine associations between variables, and prediction designs which identify predictor variables that can anticipate outcomes. Key aspects of correlational research include scatterplots, correlation coefficients, significance testing, and multiple variable techniques like partial correlation and multiple regression.
This document discusses three types of research methodologies: survey research, correlation research, and causal-comparative research. Survey research involves collecting data from a sample population at one or more points in time to describe characteristics. Correlation research investigates relationships between two variables to help explain behaviors or predict outcomes. Causal-comparative research attempts to determine the causes or consequences of existing differences between groups by comparing them. Examples of research objectives and questions are provided for each methodology.
An overview of, and introduction to, survey-based research in the social sciences.
http://en.wikiversity.org/wiki/Survey_research_and_design_in_psychology/Lectures/Survey_research
This document discusses different types of experimental research designs, including their advantages and disadvantages. It covers true experimental designs like pretest-posttest and Solomon four-group designs. It also discusses quasi-experimental designs like nonequivalent control group and time series designs, as well as pre-experimental designs. Threats to internal and external validity are explained for different designs.
This chapter discusses quantitative research methodology. It outlines two major quantitative research designs: experimental and non-experimental. Experimental designs manipulate independent variables and include true experiments, quasi-experiments, and pre-experiments. Non-experimental designs do not manipulate variables and include survey studies, correlational studies, and evaluation studies. The chapter also describes threats to internal and external validity in experimental research and provides examples of different quantitative research methods.
This document discusses experimental research design. It defines experimental research as a method that can truly test hypotheses about cause-and-effect relationships. It then explains key aspects of experimental design including experimental and control groups, pre-tests and post-tests, independent and dependent variables, and methods for controlling extraneous variables like randomization and matching. Finally, it discusses types of experimental designs and factors that can affect the validity of experimental research.
Methodology in Psychology for A-Level Classesmind29x
This document provides an overview of various research methods used in psychology, including experimental, correlational, naturalistic observation, case study, and survey methods. It defines key terms like hypothesis, independent and dependent variables, validity, reliability, and population and sampling. Experimental methods aim to establish cause and effect and control for confounding variables through random assignment to groups. Correlational methods examine relationships between variables without implying causation. Ethical guidelines established by the APA require voluntary and informed consent from human participants with minimal risk and protected privacy.
Experimental research design aims to determine cause-and-effect relationships. There are three main types: pre-experimental, quasi-experimental, and true experimental. A true experiment requires a control group that receives no treatment and one or more experimental groups that do. It also requires random assignment to groups and manipulation of an independent variable to measure its effect on a dependent variable. Control groups are critical for isolating the impact of the independent variable.
TYPES OF RESEARCHESAND ITS IMPORTANCE IN PHYSIOTHERAPYQURATULAIN MUGHAL
This document defines and describes different types of research methods, including:
- Applied research, which seeks to solve practical problems rather than acquire knowledge for its own sake.
- Basic research, which is driven by scientific curiosity to expand knowledge without a direct commercial application.
- Correlational research, which investigates statistical relationships between two or more variables without determining cause and effect.
- Descriptive research, which provides an accurate portrayal of characteristics, situations, or groups through statistical analysis.
The document also covers qualitative research methods like ethnographic research, grounded theory research, historical research, and phenomenological research. It concludes by distinguishing between qualitative and quantitative research approaches.
The document discusses various topics related to experimental research methods, including defining research problems, sampling techniques, research designs, variables, hypothesis testing, and statistics. Specifically, it defines key terms like independent and dependent variables, different sampling methods, research designs like experimental and quasi-experimental, and statistical analyses commonly used in experimental research like t-tests, ANOVA, regression, and chi-square tests.
This document provides an overview of research methodology and the scientific method used in psychological research. It discusses that research aims to create new knowledge or use existing knowledge in new ways. There are two main types of research - qualitative and quantitative. The scientific method involves recognizing a problem, collecting data through observation and experimentation, and formulating and testing hypotheses. It consists of six key steps and has characteristics like being systematic, relying on empirical data, and aiming for objectivity. Research in psychology also assumes empiricism, determinism, parsimony, and testability. The main types of scientific investigations are controlled laboratory experiments, field experiments, ex post facto field studies, and ex post facto laboratory studies.
This document outlines a presentation on experimental research methods prepared by Group C for Professor Nafiz Zaman Shuva at the University of Dhaka. The presentation highlights the definition of research and experimental methods, the steps of experimental research including identifying a problem, reviewing literature, formulating hypotheses, designing an experiment, collecting and analyzing data, and presenting findings. It also discusses the advantages of experimental research in determining cause-and-effect relationships through manipulation and control of variables, and the disadvantages related to limitations in controlling all variables and generalizing experimental results to real-world settings.
The document provides an overview of key concepts in research methodology and experimental design. It defines important terms like treatments, experimental units, replication, blocking, and randomization. It discusses the objectives of different types of experimental designs like completely randomized design (CRD), randomized complete block design (RCBD), Latin square design (LSD), and factorial designs. It also covers topics like sources of variation, analysis of variance (ANOVA), interaction effects, and split plot designs. The document is intended to help junior researchers understand fundamental principles of research methodology.
WHAT IS METHODOLOGY?
WHAT IS RESEARCH?
WHAT IS RESEARCH METHODOLOGY?
STUDY DESIGNS
WHAT IS DESCRIPTIVE STUDY?
WHAT IS ANALYTICAL STUDY?
CONCLUSION
REFERENCES
The need for good research is to find the best evidence for clinical
practice, for specific problems, and to address methods in reducing the
burden of illness on a larger scale.
It should reflect the aspirations and expectations of the research topic.
This document discusses experimental research methodology, specifically focusing on variance, sources of error, and control techniques. It defines variance as a measure of dispersion among scores and explains how research design aims to maximize systematic variance from the experimental manipulation while controlling extraneous and minimizing error variance. Extraneous variance comes from irrelevant variables and can be controlled through randomization, elimination, matching, or statistical control. Error variance results from uncontrollable individual differences among subjects and errors of measurement. The goal is for research design to provide valid answers to research questions in an accurate and cost-effective manner.
This document outlines an experimental research methods assignment for a group of students at Addis Ababa University College of Veterinary Medicine and Agriculture. It discusses key aspects of experimental design including objectives, variables, validity, types of designs, and potential sources of invalidity. The group's assignment is to design an experiment and address factors such as controls, randomization, measurements, and data analysis. Attention to these elements in the planning stage can help produce reliable and valid experimental results.
Lab experiments are rarely used in sociology due to various limitations. While they can establish cause-and-effect relationships and be highly reliable, societal variables are too complex to control and natural human behaviors may not be observed. Ethical issues can also arise from manipulating human subjects without their full consent.
A cohort study follows groups of individuals (cohorts) over time to determine factors associated with outcomes. This document describes cohort studies and other research designs including descriptive research, experimental research, case studies, cross-sectional studies, case-control studies, exploratory research, and their key features. Cohort studies are useful for investigating potential causes before outcomes occur. Other designs help describe characteristics, compare groups, generate hypotheses, or understand phenomena in their natural context. Each design has strengths and limitations for addressing different research questions.
Experimental ProceduresThe specific experimental design procedur.docxgitagrimston
Experimental Procedures
The specific experimental design procedures also need to be identified. This discussion involves indicating the overall experiment type, citing reasons for the design, and advancing a visual model to help the reader understand the procedures.
• Identify the type of experimental design to be used in the proposed study. The types available in experiments are pre-experimental designs, quasi-experiments, true experiments, and single-subject designs. With pre-experimental designs, the researcher studies a single group and provides an intervention during the experiment. This design does not have a control group to compare with the experimental group. In quasi-experiments, the investigator uses control and experimental groups but does not randomly assign participants to groups (e.g., they may be intact groups available to the researcher). In a true experiment, the investigator randomly assigns the participants to treatment groups. A single-subject design or N of 1 design involves observing the behavior of a single individual (or a small number of individuals) over time.
• Identify what is being compared in the experiment. In many experiments, those of a type called between-subject designs, the investigator compares two or more groups (Keppel & Wickens, 2003; Rosenthal & Rosnow, 1991). For example, a factorial design experiment, a variation on the betweengroup design, involves using two or more treatment variables to examine the independent and simultaneous effects of these treatment variables on an outcome (Vogt, 2011). This widely used behavioral research design explores the effects of each treatment separately and also the effects of variables used in combination, thereby providing a rich and revealing multidimensional view. In other experiments, the researcher studies only one group in what is called a within-group design. For example, in a repeated measures design, participants are assigned to different treatments at different times during the experiment. Another example of a within-group design would be a study of the behavior of a single individual over time in which the experimenter provides and withholds a treatment at different times in the experiment to determine its impact.
• Provide a diagram or a figure to illustrate the specific research design to be used. A standard notation system needs to be used in this figure. A research tip I recommend is to use a classic notation system provided by Campbell and Stanley (1963, p. 6):
X represents an exposure of a group to an experimental variable or event, the effects of which are to be measured.
O represents an observation or measurement recorded on an instrument.
Xs and Os in a given row are applied to the same specific persons. Xs and Os in the same column, or placed vertically relative to each other, are simultaneous.
The left-to-right dimension indicates the temporal order of procedures in the experiment (sometimes indicated with an ...
The document discusses experimental research designs. It defines key terms like causal hypotheses, experimental designs, control groups, stimuli, placebos, internal validity, and pretest-posttest designs. It describes classic experimental designs that involve randomly assigning subjects to experimental and control groups, introducing/manipulating the independent variable between pre- and posttests, and comparing results. Threats to internal validity like maturation and history are also outlined.
The document discusses experimental design in quantitative research. It explains that experimental design involves manipulating an independent variable and comparing its effects on a dependent variable between groups, while controlling for extraneous variables. Key aspects of experimental design discussed include having an intervention, making comparisons between groups, using control groups, determining when to collect data, selecting research sites, and communicating with subjects.
This document discusses different types of experimental designs and their analysis techniques. It describes true experiments as having random assignment to experimental and control groups, a treatment for the experimental group, and post-testing of both groups. Quasi-experiments similarly compare groups but do not use random assignment. Pre-experimental designs like one-group pre-test post-test are used initially before true experiments. Ex post facto designs compare naturally occurring groups on variables of interest.
This document contains information about drafting structural layouts and details using CAD (Computer Aided Design). It is divided into 7 modules that cover topics like personal entrepreneurial competencies, preparing CAD drawings, drafting structural layouts and details, electrical and electronic layouts, sanitary and plumbing layouts, and mechanical layouts and details. The document provides learning objectives, activities, and assessments for students to learn how to utilize CAD software like AutoCAD to design building infrastructure. It aims to teach essential CAD tools and commands as well as the process of drafting different building system plans and details.
This document provides an overview of a module on personal entrepreneurial competencies (PECs) and environment/market analysis for technical drafting students. It includes tasks for students to assess their own PECs, interview a local entrepreneur, and analyze the business environment and market in their province. The goal is for students to understand important entrepreneurial skills, align their PECs with a successful local entrepreneur, and identify opportunities and constraints in their local market through a SWOT analysis.
This Teacher’s Guide is intended for you, the TLE teacher, who teaches any of the more than 24 TLE exploratory courses in the Grades 7 and 8 of the K to 12 curriculum.
Here are ten drafting materials and tools/drawing instruments I found in the puzzle:
1. Eraser
2. Pencil
3. Compass
4. T-square
5. Protractor
6. Divider
7. Triangle
8. Scale
9. Masking tape
10. Drawing board
The document discusses different meanings and types of humanism:
- Literary humanism focuses on the humanities and literary culture.
- Renaissance humanism emphasized classical letters and human ability to determine truth.
- Cultural humanism is based on rationality and science originating from ancient Greece and Rome.
- Christian humanism advocates self-fulfillment within a Christian framework.
- Modern humanism relies on reason and science while rejecting supernaturalism.
Frederick Herzberg performed studies to determine factors that cause employee satisfaction or dissatisfaction. He identified two types of factors: hygiene factors related to company policy and work environment that prevent dissatisfaction, and motivators from the work itself like achievement and responsibility that provide satisfaction. Herzberg argued that satisfying hygiene factors does not motivate employees, and that job enrichment providing challenge and responsibility is needed to motivate intrinsicly. His theory emphasizes that true motivation comes from within employees rather than external incentives.
This document provides information about a proposed training on editorial cartooning to be held on September 8, 2012. It includes a schedule of activities for the day-long training, which will cover the history of editorial cartoons and campus journalism, fundamentals of drawing, and how to create effective editorial cartoons. The training will have four activities and include presentations on symbols, tools, and essential elements of good editorial cartoons.
The first grading period focuses on demonstrating knowledge of personal entrepreneurial competencies and lettering skills. Students will 1) assess their personal characteristics and align them with the traits of successful letterers, 2) strengthen areas needing improvement based on self-assessment, and 3) align their characteristics with those of letterers. They will also analyze the lettering industry, competitors, and consumer needs to help choose a career. The goals are to understand the value of entrepreneurial skills and identify characteristics for success in lettering.
This document outlines the curriculum objectives, standards, essential questions, assessments, and learning plans for Drafting II. The first grading period focuses on visual drawing and developing personal entrepreneurial competencies. The second grading period covers cartooning and animation and understanding marketing mix for small industries. Key topics include developing skills in various drawing techniques, strengthening personal attributes, and analyzing how marketing strategies influence profitability for small businesses.
The document outlines the objectives, standards, and assessment criteria for a Drafting III Blue Print Reading course. The first unit focuses on personal entrepreneurial competencies (PECs). Students will 1) assess their personal characteristics compared to a junior draftsman's PECs and 2) strengthen areas of weakness through role playing exercises. The second unit teaches demand and supply analysis. Students will 1) analyze community data to determine the needs and wants of the target market and 2) present findings in tables, graphs and analyses to identify business opportunities. The overall goals are for students to understand PECs and use market research to fulfill consumer demand.
1) God loves humanity and has a plan for their lives, but humans are sinful and separated from God.
2) Jesus Christ is God's solution for humanity's sin - through faith in Christ's death and resurrection, one can be reconciled to God.
3) To experience God's love and plan, one must receive Jesus Christ by repenting of sin, trusting in Christ, and inviting him to take control of one's life.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
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বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
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The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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2. Experimental Research
A collection of research designs which use
manipulation & controlled testing to
understand casual processes.
Commonly used in sciences such as sociology
& psychology, physics, chemistry & medicine,
etc.
3. Experimental Research
is often used where:
1. There is time priority in a causal relationship .
2. There is consistency in a causal relationship.
3. The magnitude of the correlation is great.
4. The word experimental research has a range
of definitions.
5. The researcher manipulates one variable, and
control/randomizes the rest of the variables.
6. The scientist actively influences something to
observe the consequences.
7. Physical sciences tend to define experiments
more narrowly than social sciences.
4. Experimental Research
Aims of
Experiments are conducted to be
able to predict phenomenon. Typically,
an experiment is constructed to be able
to explain some kind of causation.
5. Identifying The Research Problem
After deciding the topic of interest,
the researcher tries to define the
research problem. This helps the
researcher to focus on a more narrow
research area to be able to study it
appropriately.
Experimental Research
6. Constructing The Experiment
There are various aspects to
remember when constructing an
experiment. Planning ahead ensures
that the experiment is carried out
properly and that the results reflect the
real world, in the best possible way.
Experimental Research
7. Sampling Groups To Study
Deciding the sample groups can be
done in using many different sampling
techniques. Population sampling may
chosen by a number of methods, such as
randomization, "quasi-randomization"
and pairing.
Experimental Research
8. Creating The Design
The research design is chosen based
on a range of factors. Important factors
when choosing the design are
feasibility, time, cost, ethics,
measurement problems and what you
would like to test. The design of the
experiment is critical for the validity of
the results.
Experimental Research
9. Typical Designs & Features
Pretest-Posttest Design
Experimental Research
Check whether the groups are different before the
manipulation starts and the effect of the manipulation.
Pretests sometimes influence the effect.
Control Group
Control groups are designed to measure research bias
and measurement effects, such as the Hawthorne
Effect or the Placebo Effect. A control group is a group
not receiving the same manipulation as the
experimental group.
10. Pilot Study
It may be wise to first conduct a pilot-
study or two before you do the real
experiment. This ensures that the
experiment measures what it should,
and that everything is set up right.
Experimental Research
11. Conducting The Experiment
An experiment is typically carried out
by manipulating a variable, called the
independent variable, affecting the
experimental group. The effect that the
researcher is interested in, the
dependent variable(s), is measured.
Experimental Research
12. Analysis & Conclusions
The aim of an analysis is to draw a conclusion,
together with other observations. The researcher
might generalize the results to a wider
phenomenon, if there is no indication of
confounding variables "polluting" the results.
Experimental Research
13. Examples of Experiments
Social Psychology
Experimental Research
• Stanley Milgram - Will people obey orders, even if clearly
dangerous?
• Asch Experiment - Will people conform to group behavior?
• Stanford Prison - How does people react to roles? Will you behave
differently?
• Good Samaritan - Would You Help a Stranger? - Explaining
Helping Behavior
14. Examples of Experiments
Genetics
Experimental Research
• Law Of Segregation - The Mendel Pea Plant Experiment
• Transforming Principle - Griffith's Experiment about Genetics
Physics
• Ben Franklin Kite Experiment - Struck by Lightening
• J J Thomson Cathode Ray Experiment