Statistics in Research Methods

Statistics
Research methods in language study
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Statistics
Introduction
The main objective of this research study was to find out whether there were relationships
between achievement and variables like gender, self-esteem, age and optimism. The study also
sought to fight the summary statistics to know how the data was spread. The results of the study
have been presented in form of tables and graphs as shown in the subsequent sections.
QUESTION 1
CORRELATIONS
Test for relationship between achievement and optimism.
Correlations
Achievement Optimism
Achievement
Pearson Correlation 1 1.000**
Sig. (2-tailed) .000
N 99 99
Optimism
Pearson Correlation 1.000** 1
Sig. (2-tailed) .000
N 99 99
**. Correlation is significant at the 0.01 level (2-tailed).
Table 1
Pearson correlation coefficient r computed is 1. This means that there is a strong and positive
correlation between optimism and achievement. The p-value (0.00) means that the correlation is
significant.
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Statistics
Test for relationship between achievement and positive affect.
Correlations
Achievement Positive affect
Achievement
Pearson Correlation 1 .489**
Sig. (2-tailed) .000
N 99 99
Positive affect
Pearson Correlation .489** 1
Sig. (2-tailed) .000
N 99 100
**. Correlation is significant at the 0.01 level (2-tailed).
Table 2
Pearson correlation coefficient r computed is 0.49. This means that there is a strong and positive
correlation between optimism and positive affect. The p-value (0.00) means that the correlation
is significant.
Test for relationship between achievement and self-esteem.
Correlations
Achievement Self esteem
Achievement
Pearson Correlation 1 .589**
Sig. (2-tailed) .000
N 99 99
Self esteem
Pearson Correlation .589** 1
Sig. (2-tailed) .000
N 99 100
**. Correlation is significant at the 0.01 level (2-tailed).
Table 3
Pearson correlation coefficient r computed is 0.59. This means that there is a strong and positive
correlation between optimism and self-esteem. The p-value (0.00) means that the correlation is
significant.
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