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It depends on your alpha level. In the Social Sciences, we use an alpha level of 0.05. Therefore, anything less then this is considered statistically significant. If your significance is 0.0001 it mean that there is a 1/10000 chance that you would get your results by chance alone (as the engine of change). It is therefore fairly safe to conclude that the null hypothesis is incorrect (you can conclude that your IV had a significant effect on your DV). Be careful however, when interpreting significant levels, that is not to say that your IV had a BIG or SMALL effect on your DV (this is indicated by effects size), only to say that any change that resulted is not due to chance alone. It depends on your alpha level. In the social sciences, we use an alpha level of 0.05. Therefore, anything less then this is considered statistically significant. If your significance is 0.0001 it mean that there is a 1/10000 chance that you would get your results by chance alone (as the engine of change). It is therefore fairly safe to conclude that the null hypothesis is incorrect (you can conclude that your IV had a significant effect on your DV). Be careful however, when interpreting significant levels, that is not to say that your IV had a BIG or SMALL effect on your DV (this is indicated by effects size), only to say that any change that resulted is not due to chance alone.
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RafaThe statistical significance of a value in SPSS is typically determined by comparing it to a significance level (e.g., p < 0.05). If the p-value associated with the value of 0.000 is less than the chosen significance level (e.g., 0.05), then it would be considered statistically significant. However, it's important to consider the context and the specific statistical test being used.
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What is full meaning of SPSS?
SPSS stands for Statistical Package for the Social Sciences. It is a software program used for statistical analysis in social science research and other fields.
What is the significance of the reporting F statistic in an ANOVA analysis?
The reporting F statistic in an ANOVA analysis is significant because it helps determine if there is a significant difference between the means of the groups being compared. It indicates whether the variation between the group means is greater than what would be expected by chance. A high F statistic suggests that there is a significant difference between the groups, while a low F statistic suggests that there is not a significant difference.
What is the underlying process of classical conditioning?
Classical conditioning is a type of learning where an organism associates a neutral stimulus with a significant event, leading to a change in behavior. This process occurs through repeated pairings of the neutral stimulus (conditioned stimulus) with the significant event (unconditioned stimulus), resulting in the neutral stimulus eliciting a similar response as the significant event over time.
Why is the hawthorne effect significant?
The Hawthorne effect is significant because it demonstrates that individuals may change their behavior simply because they are being observed or are aware of being studied. This has implications for research, as it can impact the validity of study results. Understanding this effect is crucial for designing studies that accurately reflect true human behavior.
Who was sigmund freud's nursemaid?
Sigmund Freud's nursemaid was named Rosa Bernays. She played a significant role in his early life and upbringing.
