As the value of one variable X increases , the value of other var

As the value of one variable X increases , the value of other var
| As the value of one variable X increases , the value of other variable also increases, this is:

A. Zero correlation

B. Negative correlation

C. Positive correlation

D. Correlation coefficient

Please scroll down to see the correct answer and solution guide.

Right Answer is: C

SOLUTION

Correlational Research in psychology:

  • In psychological research, we often wish to determine the relationship between two variables for prediction purposes.
  • For example, you may be interested in knowing whether “the amount of study time” is related to the “student’s academic achievement”. you simply find out the relationship between the two variables to determine whether they are associated, or covary or not.
  • The strength and direction of the relationship between the two variables are represented by a number, known as the correlation coefficient.

Correlation coefficient:

  • Its value can range from +1.0 through 0.0 to –1.0.
  • The coefficient of correlation is of three types: positive, negative, and zero.
    1. A positive correlation
      • It indicates that as the value of one variable (X) increases, the value of the other variable (Y) will also increase.
      • Similarly, when variable X decreases, a decrease in Y too will take place.
      • Suppose, it is found that the more time the students spend on studying, the higher was their achievement score. Also, the less they studied, the lower was their achievement score. This type of association will be indicated by a positive number, and the stronger the association between studying and achievement, the closer the number would be to +1.0.
      • A correlation of + 0.85, indicating a strong positive association between study time and achievement. On the other hand,
    2. a negative correlation
      • It tells us that as the value of one variable (X) increases, the value of the other (Y) decreases.
      • For example, you may hypothesize that as the hours of study time increase, the number of hours spent on other activities will decrease. Here, you are expecting a negative correlation, ranging between 0 and –1.0.
    3. zero correlation:
      • It is also possible that sometimes no correlation may exist between the two variables. This is called a zero correlation.
      • Generally, it is difficult to find zero correlation but the correlations found may be close to zero, e.g., -.02 or +.03.
      • This indicates that no significant relationship exists between two variables or the two variables are unrelated.

Hence, As the value of one variable X increases, the value of other variable also increases, this is a positive correlation.

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