A social scientist wants to determine if a person’s height might be correlated with his or her sense of self-confidence. To explore this, the scientist recruits a group of participants and gathers two metrics: First the researcher administers the Acme Self-Confidence Instrument (ASCI), a self-administered survey that produces a score between 0 and 50 (0 = Very low self-confidence . . . 50 = Very high selfconfidence). Second, the scientist measures the height (in inches) of each participant.
Data set: Ch 11 – Exercise 07A.sav
Variable: Height
Definition: Height of participant (in inches)
Type: Continuous
Variable: ASCI
Definition: Acme Self-Confidence Instrument
Type: Continuous (0 = Very low self-confidence . . . 50 = Very high self-confidence)
a. Write the hypotheses.
b. Run the criteria of the pretest checklist (normality [for both variables], linearity, homoscedasticity) and discuss your findings.
c. Run the bivariate correlation, scatterplot with regression line, and descriptive statistics for both variables and document your findings (r and Sig. [p value], ns, means, standard deviations) and hypothesis resolution.
d. Write an abstract under 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings.