Perform a reliability analysis on the items for Tolerance for Ambiguity. They are labelled ta1 through ta9.

a. What is the reliability of the scale with all nine items?

b. Interpret this reliability, using the rule of thumb as proposed by George and Mallery (2003, p:231): “α≥0.9 = Excellent, α≥ 0.8 = Good, α≥0.7 = Acceptable, α≥ 0.6 = Questionable, α≥ 0 .5 = Poor, and α_ .5= Unacceptable”.

c. Analyze the Item Total Statistics. Which item(s) would you remove? Why?

d. Re-run the reliability analysis after removing the item(s) identified above. What is the reliability now?

e. Which item(s) would you still remove to improve the reliability? What is the new reliability?

f. We usually run reliability analyses by removing items till we get excellent or good alphas that follow George and Mallory's (2003) rule. What are the items on the most reliable Tolerance of Ambiguity scale have now? What is the biggest drawback of this approach of removing items?

Item Statistics
	Mean	Std. Deviation		N
ta1	3.69	1.440		313
ta2	3.02	1.506		313
ta3	2.83	1.524		313
ta4	2.69	1.456		313
ta5	2.79	1.448		313
ta6	4.52	1.627		313
ta7	4.55	1.640		313
ta8	4.15	1.755		313
ta9	4.23	1.136		313
Item-Total Statistics
	Scale Mean if Item Deleted		Scale Variance if Item Deleted		Corrected Item-Total Correlation		Cronbach's Alpha if Item Deleted
ta1	28.77		32.506		.198		.492
ta2	29.43		27.753		.493		.388
ta3	29.63		29.613		.356		.438
ta4	29.77		30.013		.358		.439
ta5	29.66		28.653		.457		.405
ta6	27.93		32.758		.131		.517
ta7	27.91		38.398		-.160		.610
ta8	28.31		27.829		.374		.424
ta9	28.23		37.939		-.099		.561