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Introduction-to-Correlation-Research-Designs.pptx
- 1. Correlation Research Designs CHINTYA DEVI21033003 LECTURER ; BUYUN KHULEL, M. Pd
- 2. Introduction to Correlation Research Designs Correlationresearch explores the relationship between two or more continous variables in language learning. By examining how changes in one variable relate to changes in another.
- 3. Definition of Correlation Whatis Correlation? Correlation refers to the statistical relationship between two or more variables. It measures the strength and direction of the linear association between these variables. Positive vs. Negative Correlation A positive correlation indicates that as one variable increases, the other variable also tends to increase. A negative correlation means that as one variable increases, the other variable tends to decrease.
- 4. Types of CorrelationDesigns Correlation Surveys Correlation surveys collect data on two or more variables and examine the relationships between them, providing insights into language learning patterns. Correlational Experiments Correlational experiments manipulate one variable to observe its effect on another, allowing researchers to uncover causal relationships in language development. Ex-Post Facto Designs Ex-post facto designs examine existing data to identify associations between variables that cannot be manipulated, shedding light on natural language acquisition.
- 5. Advantages of CorrelationDesigns Flexibility Correlation designs can examine relationships between a wide range of variables, allowing for more exploratory and flexible research approaches. Efficient Data Collection Correlational studies often require less time and resources than experimental designs, making them a more practical choice for many language learning research projects. Insight into Relationships Correlation analysis can uncover meaningful connections between language variables, revealing patterns and trends that may inform future interventions. Applicability to Real-World Settings Correlational designs can be conducted in authentic language learning environments, enhancing the ecological validity of the findings.
- 6. Limitations of CorrelationDesigns Causality Correlation does not imply causation. A positive or negative correlation between two variables does not necessarily mean that one causes the other. Confounding Variables Other factors may be influencing the relationship between the variables, making it difficult to determine the true nature of the correlation. Strength of Relationship Correlation coefficients only measure the strength of the linear relationship, not the magnitude or practical significance of the effect.
- 7. Correlational Data Collection Methods Surveysand Questionnaires Collect self-reported data on variables of interest through structured surveys and questionnaires. Observations Directly observe and record learners' behaviors and performance in natural settings. Existing Data Sources Analyze existing datasets, such as language test scores or language use records, to uncover correlational patterns.
- 8. Analyzing Correlational Data 1 IdentifyVariables Determine the independent and dependent variables in the study. 2 Calculate Correlation Use statistical methods like Pearson's r or Spearman's rho to measure the strength and direction of the relationship. 3 Assess Significance Determine if the observed correlation is statistically significant using hypothesis testing.
- 9. conclusion Correlation research designshave numerous applications in the field of language learning. They can be used to explore relationships between language proficiency and factors like motivation, anxiety, aptitude, and learning strategies. Correlational studies can also investigate the links between language skills (e.g. reading, writing, speaking, listening) and academic performance, cognitive abilities, or social- emotional competencies.