PSYB04H3 Lecture Notes - Lecture 6: Spurious Relationship, Theoretical Definition, Scatter Plot
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No sampling frame or bad sampling frame. Suicide risk rises among family, friends of suicide victims: study. Correlational studies looks at whether and to what degree measured variables are related: 2 purposes, examine relationships, make predictions. Variables should be selected based on some rationale: math attitudes and math achievement. If it seems odd, suspect fishing or a spurious correlation. Essentialhealth. org says that sitting for hours may raise your type 2 diabetes. Mental health, subjective well-being, and religiosity: significant associations in. Kuwait and usa: large samples within this data, large correlations. Larger effect sizes usually more important (bigger isn"t always better) Related to regression aspect of correlational studies. Cohen"s (1992) guidelines for interpreting strengths of associations. Statistical significance is affected by effect size and sample size: any correlation will be statistically significant if the sample size is large enough. Nobody can say it"s 100% unless they ask entire population, with a sample you can never say that.
