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HOWs CORRELATIONAL STUDIES are performed
Why use Correlational Research?
◦To establish that a relationship exists between
variables and to describe the nature of the
relationship
◦Associative Relationship
◦No independent variables
◦Dependent Variables only
Correlational, Experimental, and Descriptive Research
Correlational research
◦ Intended to demonstrate the existence of a relationship between two variables
◦ Does not determine cause-and- effect relationship
Experimental research
◦ Demonstrates a cause-and-effect relationship between two variables
Descriptive Research
◦ Exploratory
◦ Describes characteristics and factors associated with a certain population
◦ Does not determine any relationship
◦ Can suggest hypothetical relationships for further study
Correlation Coefficient
A correlation coefficient measures and describes the relationship between two variables.It describes two
characteristics of a relationship:
Direction
Consistency or strength
◦ Positive relationship: two variables change in the same direction.
◦ As one variable increases ► the other variable increases.
◦ Negative relationship: two variables change in opposite directions.
◦ Increases in one variable ► matches with decreases in the other variable

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Introduction In life, there are universal laws that govern everything we do. These laws are so perfect that if you were to align yourself with them, you could have so much prosperity that it would be coming out of your ears. This is because God created the universe in the image and likeness of him. It is failure to follow the universal laws that causes one to fail. The laws that were created consisted of the following: · Law of Gratitude: The Law of Gratitude states that you must show gratitude for what you have. By having gratitude, you speed your growth and success faster than you normally would. This is because if you appreciate the things you have, even if they are small things, you are open to receiving more. Law of Attraction: The Law of Attraction states that if you focus your attention on something long enough you will get it. It all starts in the mind. You think of something and when you think of it, you manifest that in your life. This could be a mental picture of a check or actual cash, but you think about it with an image. Law of Karma: the Law of Karma states that if you go out and do something bad, it will come back to you with something bad. If you do well for others, good things happen to you. The principle here is to know you can create good or bad through your actions. There will always be an effect no matter what. Law of Love: the Law of Love states that love is more than emotion or feeling; it is energy. It has substance and can be felt. Love is also considered acceptance of oneself or others. This means that no matter what you do in life if you do not approach or leave the situation out of love, it won't work. Law of Allowing: The Law of Allowing states that for us to get what we want, we must be receptive to it. We can't merely say to the Universe that we want something if we don't allow ourselves to receive it. This will defeat our purpose for wanting it in the first place. Law of Vibration: the Law of Vibration states that if you wish on something and use your thoughts to visualize it, you are halfway there to get it. To complete the cycle you must use the Law of Vibration to feel part of what you want. Do this and you'll have anything you want in life. For everything to function properly there has to be structure. Without structure, our world, or universe, would be in utter chaos. Successful people understand universal laws and apply them daily. They may not acknowledge that to you, but they do follow the laws. There is a higher power and this higher power controls the universe and what we get out of it. People who know this, but wish to direct their own lives, follow the reasons. Successful people don't sit around and say "I'll try," they say yes and act on it. Chapter - 1 The Law of Attraction The law of attraction is the most powerful force in the universe. If you work against it, it can only bring you pain and misery. Successful people know this but have kept it hidden from the lower class for centuries because th

businessmarketingtrends
Correlation
CorrelationCorrelation
Correlation

Correlation is a statistical technique used to determine the degree of relationship between two variables. Correlational research aims to identify and describe relationships but does not imply causation. Positive correlation indicates high scores on one variable are associated with high scores on the other, while negative correlation means high scores on one variable are associated with low scores on the other. Correlational research can be used for explanatory or predictive purposes. More complex techniques like multiple regression allow prediction using combinations of variables. Threats to internal validity like subject characteristics must be controlled.

Non experimental%20 quantitative%20research%20designs-1
Non experimental%20 quantitative%20research%20designs-1Non experimental%20 quantitative%20research%20designs-1
Non experimental%20 quantitative%20research%20designs-1

The document discusses different types of non-experimental quantitative research designs, including descriptive studies, relationship studies, comparative studies, correlational studies, prediction studies, causal-comparative/ex-post facto studies, and surveys. Relationship studies are important in non-experimental designs because they allow researchers to identify possible causes, variables to study, and ways to predict the value of one variable based on others. The key difference between cross-sectional and longitudinal surveys is that cross-sectional surveys collect information from samples at one time, while longitudinal surveys study the same group of subjects over an extended period of time.

Statistical Analysis for Correlational Studies
◦ Evaluating relationships for numerical scores
◦ Scores in each pair are identified as X and Y.
◦ Data can be presented in a list showing the two scores for each individual.
◦ Scores can be shown in a scatter plot graph.
Correlation (correlation coefficient): measures and describes the relationship between two
variables.
◦ The sign (+/–) indicates the direction of the relationship.
◦ The numerical value (-1.0 to 1.0) indicates the strength or consistency of the relationship.
Research Article Chosen
Synopsis of Research Article
Influence
Self
Regulated
Learning
How Teacher
Feedback
Practices
Low Achieving
Schools
High Achieving
Schools
Teacher Feedback
Questionnaire (TFQ)
•Adapted the questionnaire
developed by Guo (2017)
• Based on 5 subscales namely
verification feedback, directive
feedback, scaffolding feedback,
teacher praise, and teacher
criticism.
Motivated Strategies for
Learning Questionnaire
(MSLQ)
• Adapted Motivated Strategies for
Learning Questionnaire (MSLQ)
developed by Pintrich et al. (1991).
• The questionnaire comprises six
scales: basic learning strategy, deep
learning strategy, metacognitive
strategy, intrinsic motivation,
extrinsic motivation, and self-
efficacy.
Data Analysis
• Two-group confirmatory factor
analyses (CFA).
• Descriptive Statistics
• Two separate MANOVAs were
conducted to investigate the
differences in teacher feedback
and students’ SRL and
• Two-group SEM was conducted
to examine the relationship
patterns between teacher feedback
and students’ SRL in mathematics
between high- and low-achieving
schools.

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Correlational researchCorrelational research
Correlational research

This document discusses correlational research designs. Correlational studies can show relationships between two variables to indicate cause and effect or predict future outcomes. There are three main types of correlational studies: observational research, survey research, and archival research. Correlational research allows analysis of relationships among many variables and provides correlation coefficients to measure direction and degree of relationships. Interpreting correlations involves scattergrams, correlation coefficients from -1 to 1, and determining explained variance through r-squared values. However, correlation does not necessarily prove causation as third variables could be the true cause.

MED 900 Correlational Studies online safety sake.pptx
MED 900 Correlational Studies online safety sake.pptxMED 900 Correlational Studies online safety sake.pptx
MED 900 Correlational Studies online safety sake.pptx

This study aimed to compare teacher feedback, student self-regulated learning, and the relationship between these factors in high-achieving versus low-achieving secondary schools. Specifically, the study sought to determine if there were differences in (1) the types of mathematics teacher feedback, (2) students' self-regulated learning in mathematics, and (3) the relationships between teacher feedback and student self-regulated learning between high- and low-achieving schools. The study was motivated by research suggesting school climate and culture can impact these factors differently in high versus low performing schools.

correlation between online
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C0252014021

International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.

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HOWs CORRELATIONAL STUDIES are performed

  • 2. Why use Correlational Research? ◦To establish that a relationship exists between variables and to describe the nature of the relationship ◦Associative Relationship ◦No independent variables ◦Dependent Variables only
  • 3. Correlational, Experimental, and Descriptive Research Correlational research ◦ Intended to demonstrate the existence of a relationship between two variables ◦ Does not determine cause-and- effect relationship Experimental research ◦ Demonstrates a cause-and-effect relationship between two variables Descriptive Research ◦ Exploratory ◦ Describes characteristics and factors associated with a certain population ◦ Does not determine any relationship ◦ Can suggest hypothetical relationships for further study
  • 4. Correlation Coefficient A correlation coefficient measures and describes the relationship between two variables.It describes two characteristics of a relationship: Direction Consistency or strength ◦ Positive relationship: two variables change in the same direction. ◦ As one variable increases ► the other variable increases. ◦ Negative relationship: two variables change in opposite directions. ◦ Increases in one variable ► matches with decreases in the other variable
  • 5. Statistical Analysis for Correlational Studies ◦ Evaluating relationships for numerical scores ◦ Scores in each pair are identified as X and Y. ◦ Data can be presented in a list showing the two scores for each individual. ◦ Scores can be shown in a scatter plot graph. Correlation (correlation coefficient): measures and describes the relationship between two variables. ◦ The sign (+/–) indicates the direction of the relationship. ◦ The numerical value (-1.0 to 1.0) indicates the strength or consistency of the relationship.
  • 7. Synopsis of Research Article Influence Self Regulated Learning How Teacher Feedback Practices Low Achieving Schools High Achieving Schools
  • 8. Teacher Feedback Questionnaire (TFQ) •Adapted the questionnaire developed by Guo (2017) • Based on 5 subscales namely verification feedback, directive feedback, scaffolding feedback, teacher praise, and teacher criticism. Motivated Strategies for Learning Questionnaire (MSLQ) • Adapted Motivated Strategies for Learning Questionnaire (MSLQ) developed by Pintrich et al. (1991). • The questionnaire comprises six scales: basic learning strategy, deep learning strategy, metacognitive strategy, intrinsic motivation, extrinsic motivation, and self- efficacy. Data Analysis • Two-group confirmatory factor analyses (CFA). • Descriptive Statistics • Two separate MANOVAs were conducted to investigate the differences in teacher feedback and students’ SRL and • Two-group SEM was conducted to examine the relationship patterns between teacher feedback and students’ SRL in mathematics between high- and low-achieving schools.