Question

Frequency

Write two sentences indicating why you think the results bellow of are ordinal measurement level. Keep in mind that we’re only considering what SPSS calls the valid responses. The missing responses represent missing data (e.g., don’t know or no answer responses)

SATISFACTION WITH FINANCIAL SITUATION
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	SATISFIED	683	26.9	27.0	27.0
	MORE OR LESS	1180	46.5	46.6	73.6
	NOT AT ALL SAT	668	26.3	26.4	100.0
	Total	2530	99.7	100.0
Missing	DK	5	.2
	NA	3	.1
	Total	8	.3
Total		2538	100.0

TOTAL WEALTH OF RESPONDENT
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	Less than $5,000	93	3.7	13.3	13.3
	$5,000 to $20,000	97	3.8	13.8	27.1
	$20,000 to $40,000	78	3.1	11.2	38.2
	$40,000 to $75,000	70	2.8	10.0	48.3
	$75,000 to $100,000	51	2.0	7.3	55.6
	$100,000 to $150,000	57	2.2	8.1	63.7
	$150,000 to $250,000	65	2.5	9.2	72.9
	$250,000 to $500,000	92	3.6	13.1	86.0
	$500,000 to $1 million	59	2.3	8.4	94.4
	$1 million to $2 million	23	.9	3.3	97.7
	$2 million to $3 million	6	.3	.9	98.6
	$3 million to $4 million	0	.0	.1	98.7
	$4 million to $5 million	4	.2	.6	99.3
	$5 million to $10 million	2	.1	.3	99.6
	Above $10 million	3	.1	.4	100.0
	Total	701	27.6	100.0
Missing	IAP	1747	68.8
	DONT KNOW	34	1.3
	NO ANSWER	56	2.2
	Total	1837	72.4
Total		2538	100.0

Answer 1

Nominal and Scale Measurement Level.

Here, we have to discuss the scale of measurements for the given results from SPSS. From the given SPSS results it is observed that results are obtained from the nominal scale measurement level data. The given frequency distribution explains the frequency and percentage of the respondent’s religious preference. The question asked to respondents is “what is your religious preference?” or “what is your religion?” Respondents included in the survey provided the answers or responses as the names of different religions. So, the collected data is nothing but the set of different names of religions. This means that the collected data do not contain any numbers and it only contains the name of the different religions such as Protestant, Catholic, Jewish, etc. So, names in the dataset represent the nominal level of measurements.