Exam 11: Correlational Designs

Which of the following advanced correlational statistical procedures provides extensive information about which variables affect others variables and the direction of these effects?

A researcher collects scores for male and female students and scores running from a 50 to a 99 on a math final test.This researcher is interested in correlating these scores to determine if there is an association between gender and test scores.What correlation statistic would this researcher use?

The following are correlation coefficients that you might find when correlating scores for two variables EXCEPT?

The proportion of variability in one variable that can be determined or explained by a second variable is known as the

Correlational designs have benefited from what quantitative developments in the history of research?

Examine the following correlation matrix and then answer the following questions. A Correlation Matrix Variables 1 2 3 4 5 6 1. School climate 2. Number of teachers .3 3. School in-service .45 -.03 activities 4. Funding .22 .5 .3 5. Support from -.09 -.02 -.6 .16 community 6. Yrs. Experience of .2 -.10 .3 .2 .10 leaders *p<.05 and **p<.01 -From examining the matrix,what type of relationship exists between school climate the outcome)and the other variables measured in the study?

An explanatory and a prediction correlational design have what factor in common?

Which of the following steps is most important to remember when conducting a meta-analysis?

A researcher conducting a study examining the influence of stress on achievement in a middle school draws the conclusion that stress causes low achievement scores.What correlational ethical issue is the researcher breaching?

Which one of the factors below best distinguishes between experimental and correlational research?

Examine the following correlation matrix and then answer the following questions. A Correlation Matrix Variables 1 2 3 4 5 6 1. School climate 2. Number of teachers .3 3. School in-service .45 -.03 activities 4. Funding .22 .5 .3 5. Support from -.09 -.02 -.6 .16 community 6. Yrs. Experience of .2 -.10 .3 .2 .10 leaders *p<.05 and **p<.01 -What pattern of association would you expect to find if the scores were plotted for the variable,funding,and the variable,number of teachers? ________

What is the basic feature of multiple regression analysis?

A researcher conducts a study to determine if good interpersonal skills should be used to hire new competent bus drivers for the public school district.What type of correlational design would this researcher use?

If you were to examine two plots of scores on two scatterplots and draw circles around the scores,which two plots listed below would be the most similar in form?

Examine the following correlation matrix and then answer the following questions. A Correlation Matrix Variables 1 2 3 4 5 6 1. School climate 2. Number of teachers .3 3. School in-service .45 -.03 activities 4. Funding .22 .5 .3 5. Support from -.09 -.02 -.6 .16 community 6. Yrs. Experience of .2 -.10 .3 .2 .10 leaders *p<.05 and **p<.01 -Why are some cells left blank? ______________________________________________________ ______________________________________________________

Student scores on a "positive outlook toward life" and the number of close friends were plotted on a graph.The points on the graph show that high scores on the "positive outlook" scale were related to low scores on the number of friends and that high scores on the number of friends were related to low scores on the "positive outlook" scale.What type of relationship do these scores depict?

Examine the following correlation matrix and then answer the following questions. A Correlation Matrix Variables 1 2 3 4 5 6 1. School climate 2. Number of teachers .3 3. School in-service .45 -.03 activities 4. Funding .22 .5 .3 5. Support from -.09 -.02 -.6 .16 community 6. Yrs. Experience of .2 -.10 .3 .2 .10 leaders *p<.05 and **p<.01 -What association is the strongest of all of the variables in the matrix?

Which one of the following is a good example of the concept of co-variance in correlational research?