correlation
Correlations Analysis
FINDINGS ON THE NUMBER RELATIONSHIP AND STIMULATING ENVIRONMENT
| Correlations | |||
| NUMBER RELATIONSHIP | STIMULATING ENVIRONMENT | ||
| NUMBER RELATIONSHIP | Pearson Correlation | 1 | -.005 |
| Sig. (2-tailed) | .955 | ||
| N | 120 | 120 | |
| STIMULATING ENVIRONMENT | Pearson Correlation | -.005 | 1 |
| Sig. (2-tailed) | .955 | ||
| N | 120 | 120 | |
Source: Primary Data
The correlation between “Number Relationship” and “Stimulating Environment” is shown to be -.005. This value is extremely close to 0, which suggests that there is virtually no linear relationship between the two variables. In simpler terms, changes in the “Number Relationship” variable do not seem to be associated with changes in the “Stimulating Environment” variable, either positively or negatively.
The p-value for this correlation is .955, which is much higher than the commonly used significance threshold of 0.05. This indicates that the correlation observed is not statistically significant. The high p-value implies that any observed association is likely due to random chance rather than a meaningful relationship between the two variables, From the correlation analysis, we can conclude that there is no significant relationship between “Number Relationship” and “Stimulating Environment” in the dataset analyzed. This suggests that variations in the stimulating environment do not influence the number relationship, or vice versa. It may also point to the fact that these two factors operate independently within the context of the study, and other variables may be more relevant in explaining their behavior, the two variables may inherently be unrelated, representing different aspects of the phenomenon under study that do not interact, while the sample size (N=120) seems sufficient for detecting moderate to strong relationships, it is possible that this sample does not capture subtle dynamics between the variables. The lack of correlation could also arise if either of the variables is not measured appropriately, leading to a failure in detecting an underlying relationship.
Findings on the relationship between number relationship and assessment practice
| Correlations | |||
| NUMBER RELATIONSHIP | ASSESSMENT PRACTICES | ||
| NUMBER RELATIONSHIP | Pearson Correlation | 1 | .007 |
| Sig. (2-tailed) | .940 | ||
| N | 120 | 120 | |
| ASSESSMENT PRACTICES | Pearson Correlation | .007 | 1 |
| Sig. (2-tailed) | .940 | ||
| N | 120 | 120 | |
Source: Primary Data
The relationship between the number relationship and assessment practices is explored through Pearson correlation analysis. The Pearson correlation coefficient between these two variables is 0.007, indicating a very weak positive correlation. This result suggests that there is virtually no linear relationship between the number relationship and assessment practices.
The significance value (Sig. 2-tailed) is 0.940, which is far greater than the typical alpha level of 0.05. This indicates that the correlation is not statistically significant, meaning there is insufficient evidence to suggest that any observed correlation is different from zero. In other words, changes in the number relationship are not associated with changes in assessment practices based on the data analyzed. The sample size for both variables is 120, which provides a reasonable base for statistical analysis, but given the results, we can conclude that the relationship between these variables is negligible. It would be important to consider other factors or relationships that might have a stronger or more meaningful impact on assessment practices.
FINDINGS ON THE RELATIONSHIP BETWEEN STRUCTURED PLAY AND NUMBER RELATIONSHIP
| NUMBER RELATIONSHIP | STRUCTURED PLAY | ||
| NUMBER RELATIONSHIP | Pearson Correlation | 1 | -.076 |
| Sig. (2-tailed) | .410 | ||
| N | 120 | 120 | |
| STRUCTURED PLAY | Pearson Correlation | -.076 | 1 |
| Sig. (2-tailed) | .410 | ||
| N | 120 | 120 | |
Source: Primary Data
The Pearson correlation analysis was conducted to examine the relationship between “Number Relationship” and “Structured Play” among a sample of 120 participants. The results indicate that the Pearson correlation coefficient is -0.076, with a p-value of 0.410.
The correlation coefficient of -0.076 suggests a very weak negative relationship between number relationships and structured play. This means that, as structured play increases, the ability or development of number relationships slightly decreases, but this association is negligible given the strength of the correlation.
The p-value of 0.410 is greater than the commonly accepted threshold of 0.05, indicating that the relationship between number relationships and structured play is not statistically significant. In other words, the observed weak negative correlation is likely due to random chance rather than any meaningful underlying relationship between the two variables, The absence of a statistically significant relationship between number relationships and structured play suggests that these two aspects may operate independently in the context of this study. Structured play may not be a key factor influencing children’s ability to understand or relate to numbers. This result challenges some developmental theories which propose that play, particularly structured play, should positively influence cognitive abilities, including number skills, several factors could explain the lack of a significant relationship between the two variables:
The type of structured play used in the study may not have directly targeted or encouraged numerical understanding. If the play activities were more focused on physical or social skills, this could account for the minimal influence on number relationships.
Age Group or Sample Characteristics: The participants’ developmental stage or other demographic factors could have influenced the outcomes. For example, the cognitive link between play and numerical understanding may develop at a different pace depending on age or educational background, External factors, such as home environment or previous exposure to structured play and mathematical activities, could have impacted the results. Future studies could control for these variables to gain a clearer understanding of the interaction between structured play and numerical cognition, Future studies could explore the relationship between number relationships and different forms of play, such as free play, guided play, or mathematical play, to see if any other types of play have a stronger impact on number understanding.
Larger Sample Sizes: A larger sample size may help to detect more subtle effects, if they exist, between these variables, Experimental designs where structured play interventions specifically designed to enhance number relationships are introduced might provide more insight into whether structured play can improve numerical abilities under certain conditions, the current analysis finds no significant relationship between number relationships and structured play, suggesting that structured play, as examined in this study, does not have a notable influence on children’s numerical cognition. Further research is necessary to explore other factors that may influence number understanding and the role that different types of play might play in cognitive development.