Please post your question, quote, and fact here from chapter 12. Also, respomd to at least two of your peers' posts as well as my questions.
Questions:
1.) Describe the purpose of correlational research and when you would use this design.
2.) Describe what a scatterplot of scores looks like and what a correlation matrix of scores would look like. (If you can, paste an illustration of both of these in blogspot here.)
3.) List the steps for conductung a correlational study.
4.) List the criteria for evaluating a correlational study.
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Question: Predictions are always helpful, but the future is an unknown, so can't a predictor variable that you used in you study change before you study is finished?
ReplyDeleteQuote: "With computers, they could statistically remove the effects of a large number of variables to examine the relationship among a small set of variables. They could explore the combination of variables and an outcome."
Fact: Today, researchers test elaborate models containing many variables.
1. Correlation designs provide an opportunity for you to predict scores and explain the relationship among variables. In correlational research designs, investigators use the correlation statistical test to describe and measure the degree of association between two or more variables or sets of scores. In this design they relate using the correlation statistic, two or more scores for each individual. You use this design when you seek to relate two or more variables to see if they influence each other. This design allows you to predict an outcome. You also use this design when you know and can apply statistical knowledge based on calculating the correlation statistical test.
ReplyDelete2. A scatterplot is a pictorial image displayed on a graph of two sets of scores for participants. These scores are typically identified as X and Y, with X values represented on the horizontal axis, and Y values represented on the vertical axis. A single point indicates where the X and Y scores intersect for one individual.
ReplyDeleteA correlation matrix presents a visual display of the correlation coefficients for all variables in a study. They list all variables on both a horizontal row and a vertical column.
3. Steps for conducting a correlational study.
ReplyDeletestep 1. Determine if a correlational study best addresses the research problem.
step 2. Identify individuals to study
step 3. identify two or more measures for each individual in the study
step 4. Collect data and monitor potential threats
step 5. Analyze the data and represent the results
step 6. Interpret the results
4. Criteria for evaluating a correlational study.
ReplyDelete1. Is the size of the sample adequate for hypothesis testing?
2. Does the researcher adequately display the results in matrices or graphs?
3. Is there an interpretation about the direction and magnitude of the association between two variables?
4. Is there an assessment of the magnitude of the relationship based on the coefficient or determination, p values, effect size, or the size of the coefficient?
5. Is the researcher concerned about the form of the relationship so that an appropriate statistic is chosen for analysis?
6. Has the researcher identified the predictor and the criterion variables?
7. If a visual model of the relationships is advanced, does the researcher indicated the expected direction of the relationships among variables? Or the predicted direction based on observed data?
8. Are the statistical procedures clearly identified?
1.) Describe the purpose of correlational research and when you would use this design.
ReplyDeleteA) “The purpose of correlational research is when investigators use the correlation statistical test to describe and measure the degree of association between two or more variables or sets of scores.” “You use this design when you see to relate two or more variables to see if they influence each other.” (Page 356)
2.) Describe what a scatter plot of scores looks like and what a correlation matrix of scores would look like. (If you can, paste an illustration of both of these in BlogSpot here.)
ReplyDeleteA) Scatter plot scores can go in a linear (follow a straight line) or curvilinear (follow a u-shaped form). You can also tell the direction of the association. (Page 361)
Linear Scatterpolt U-Shaped Scattterplot
3.) List the steps for conducting a correlational study.
ReplyDeleteA)
1. Determine if a correcational study best addresses the research problem.
2. Identify individuals to study
3. Identify two or more measures for each individual in the study
4. Collect data and monitor potential threats
5. Analyze the data and represent the results
6. Interpret the results (Page 370- 372)
4.) List the criteria for evaluating a correlational study.
ReplyDeleteA)
*Is the size of the sample adequate for hypothesis testing?
*Does the researcher adequately display the results in matrices or graphs?
*Is there an interpretation about the direction and magnitude of the association between two variables?
*Is there an assessment of the magnitude of the relationship based on the coefficient of determination, p values, effect size, or the size of the coefficient?
*Is the researcher concerned about the form of the relationship so that an appropriate statistic is chosen for analysis?
*Has the researcher identified the predictor and the criterion variables?
*If a visual model of the relationships is advanced, does the researcher indicate the expected direction of the relationships among variables? Or the predicted direction based on observed data.
*Are the statistical procedures clearly identified? (Page 373)
QUESTION:
ReplyDeleteThis chapter was chalked full of math and numbers. Math never really was my thing and I got lost way back on page 365 when we were reading about the degree of association. All of the points on the scatter plot are in the positive quadrant so where is -1.00 coming from?
QUOTE:
“In some educational situations, neither the treatment nor the ability to manipulate the conditions are conducive to an experiment. In this case, educators turn to a correlational design.” (Page 375)
FACT:
“Correlation is a statistical test to determine the tendency or patterns for tow or more variables or two sets of data to vary consistently.” (Page 356)
1. Correlation research uses the correlation statistical test to describe and measure the degree of association between two or more variables or sets of scores. You use this design to see if two or more variables relation to each other and establish whether there is a relationship.
ReplyDelete2. A scatter plot has an X and Y axis. Where the X and Y meet they is a dot. These dots show use the relationship between variables. They can be in a straight line which is linear or in a u shape which is curvilinear.
A correlation matrix presents visual display of the correlation coefficients for all variables in a study.
3. Determine if correlational study best addresses research problem, identify individuals to study, identify tow or more measures of each individual, collect data and monitor potential threats, analyze data and represent results, interpret results.
4. Is the size of the sample adequate, is the results adequately displayed, is there interpretation and assessment about the relationships, is the researcher concerned about the form of a relationship, and are the statistical procedures clearly identified.
Fact:
Correlation does not mean that one cause the other.
Question:
Is it possible to monitor for all types of threats? Can there be unforeseen threats to a study?
Quote:
Correlation studies are not as rigorous as experiment because the researcher can only control statistically for variables rather than physically manipulate variables.
Becky,
ReplyDeleteGood job with the q., q., & f. Experiments make me a little fearful because there is always the ethical issue to ponder over.
Jessica,
ReplyDeleteGood work with the q., q., & f. Correlational studies are new, not as common, and more predicting than ANOVA and MANOVA.
Rebecca,
ReplyDeleteDo not fret! Really, Dr. Edwards will help you feel better about all of this in her statistics course next summer. With the degree of association, this correlation is trying to measure the degree of the relationship between two variables--if they influence or affect each other somehow. That is what I want you to understand now! You will get to the math part of it next summer. No worries! Keep up the good work!
Helen,
ReplyDeleteIt is harder to do studies in which you are trying to predict something. You are right, but they can still be done. SPSS has some features in it to help with predictive studies, and you will learn some of those in Dr. Edwards' class next summer.
Keep up the good work!
Jessica,
ReplyDeleteThere can be some threats and limitations in your study that you did not account for in the end. That is why it is better if you can do a pilot study first and work through all of those and then do the real study.
Keep up the good work!
1.) Describe the purpose of correlational research and when you would use this design.
ReplyDeleteA:
Thi research design has a purpose to see the effect of a variable to the other varable.
2.) Describe what a scatterplot of scores looks like and what a correlation matrix of scores would look like. (If you can, paste an illustration of both of these in blogspot here.)A:
A scatterplot is a visualized score represetation. The researchers and readers can see the differences of scores clearly.
A correlation Matrix presens coefficients of every variable in the research.
3.) List the steps for conductung a correlational study.
A:
1. Determine if a correlatinal study best addresses the search problem.
2. Identify indviduals to study.
3. Identify two or more measures fr each individual in the study.
4. Collect data and monitor potential thrs.
5. Aalyze the data and represent the results.
6. Iterpret th result.
4.) List the criteria for evaluating a correlational study.Crewell (28, p. 373) suggested a few criteriasfo evauati :
A:
1. The size of the sample adequate for hypothesis testing?.
2. Does the researcher adequtely display theresult in matrics or graphs?
3. Is there and nterpretation aout thedirecion and magnitude of association between two varables?
4. Is than assessmentof the magnitue of the relationship based on the coefficient of determination, p values, effect size, or th sze of the coefficit?
5. Is the resrcher concerned about the form o rationship so that an appropriate sttistic is chosen for analysis?
6. Has the researcher ideified the predictor and the criterion variabls?
7. If a visual model of th relaionship isadvanced, does the resarcher indcae the expected direction ofthe relaionships among vaiables? or th predicted direction bae on observed data.
8. Are the staistica procedures clearly identifid?
Quote, "Correlatinal designsprovid a opportunity for you to predict scores and exlain the relationship among variables."
ReplyDeleteFact, "Thee are twtype ocorrelational research desgn; explanatory design and predictin design."
Question, "Do we need to design the the checklist or evaluation form to collect the score from two variables? "
1. Investigators use a corrrelation statistic technique to describe and measure the degree of association between two or more variables or sets of scores.
ReplyDelete2. A pictorial image displayed on a graph of two sets of scores for participants. typically identified as X and Y. X is horizontal, Y is vertical.
3.
1. Determine if a correlational study best addresses the problem
2. Identify individuals to study.
3. Identify two or more measures for each individual in the study.
4. Collect data and monitor threats
5. Analyze the data..
6. Interpret results.
4. Is the size of the sample adequate for testing?
Does the researcher adequately display results? Is there an interpretation about the direction and magnitude of the association between two variables?
Is there an assessment of the magnitude of the relationship based on the coefficient of the determination, p values, effect size, or the size of the coefficient?
Is the researcher concerned about the form of the relationship so that an appropriate statistic is chosen for analysis?
Has the researcher identified the predictor and the criterion values?
Are the statistical procedures clearly identified?
Fact: A regression line is the line of "best fit" for all of the points of the scores on the graph.
Quote: "Correlational researchers identify the form of the plotted scores as linear or nonlinear" p. 363
Question: What is the purpose of a prediction research design?
To Matt,
ReplyDeleteIn my opinion, the purpose of prediction the research is to know what the result that we want to see and prove the cause of it. For example, I predict that my son likes cheda cheese for snack. My prediction bases on my previous experiences while I was cooking taco, my son picked the cheda cheese that I grided and left it on the bow. I bought cheda cheese snacks back home and put it in the refrigerator. If my son like cheda cheese snacks, he will pick one from the refrigerator hen he come back from school. If he doesn, I may ask him why not. There may have other reasons, such as he doesn't like the cheda cheese snack, he doesn't hungry, he likes othr snacks more.
In my opinion, the prediction in research bases on reviewing literature. Not just predict. Moreover, prediction makes use set a goal of research.
ReplyDelete1.) Describe the purpose of correlational research and when you would use this design.
ReplyDeleteIn correlational research designs, the researcher use statistical tests to describe and measure the relationship between two or more variables. The researcher does not manipulate any of the variables in a correlational design, but instead relate the scores. This gives the an opportunity for the researcher to predict an outcome and describe the relationship between variables in a study. This type of study is used when you seek to find the relationship between two or more variables to see if they influence each other.
2.) Describe what a scatterplot of scores looks like and what a correlation matrix of scores would look like. (If you can, paste an illustration of both of these in blogspot here.)
A scatterplot is a pictorial image on a graph of two variables for each participant. The two sets of scores are identified as X and Y. The X values are represented on the horizontal axis and the Y scores are represented on the vertical axis. A single point represents where the X and Y variable intersect for an individual. Using the scales on each axis of the diagram, the researcher plots the points for all participants.
A correlational matrix is a visual display of all correlational coefficients for all variables in a study. The researcher lists all variables in both a horizontal row and vertical
Column.
3.) List the steps for conducting a correlational study.
ReplyDelete1.Determine if a correlational study best addresses the research problem.
2. Identify individuals to study.
3. Identify two or more measures for each individual in the study.
4. Collect data and monitor potential threats.
5. Analyze the data and represent the results.
6. Interpret the results (p.370-372).
4.) List the criteria for evaluating a correlational study.
When assessing the quality of a correlational study you might look at these criteria:
-Is the size of the sample adequate?
-Did the researcher adequately display results in a matrices or graph?
- Is there an interpretation about the direction and magnitude of the association between the variables?
- Is the assessment of the magnitude of the relationship based on coefficient of determination, p values, effect size, and size of the coefficient?
- Is the appropriate statistic chosen for the analysis?
-Has the researcher identified the predictor and criterion variables?
-Does the researcher indicate the expected direction of the relationship among variables or the predicted direction based on observed data?
-Are the statistical procedures clearly identified (p. 373)?