Critiquing Public Health Literature Reporting: Quantitative DataIn preparation for your doctoral...

Question

Critiquing Public Health Literature Reporting: Quantitative Data

In preparation for your doctoral capstone project, you will need to develop advanced health numeracy (statistical knowledge, SPSS) and critical thinking in literacy. This discussion isan opportunity to collaborate with your peers in a critical analysis of a public health study.

Although it may require rereading the article a few times, you will find almost all the critical pieces of information necessary to answer the questions. Only one question will require some digging further from outside resources.

Instructions

Read the yoga and meditation study articleby Argawal, Kumar, and Lewis linked in Resources. The Rothman article is also included for your reference.

Complete the following for your initial post for this discussion, remembering to adhere to the guidelines in the FEM:

Identify the study’s target population. Who is being studied?

Describe the specific problem that the study authors discovered in their research that prompted them to do this study.

Describe the intervention; cite at least one previous study used in this article to justify the intervention. Locate the article to find supporting efficacy data.

Describe all the instruments (assessment tools) that the authors used to show the efficacy of their intervention.

Response Guidelines

Read and respond to the posts of your peers according to the guidelines in the Faculty Expectations message. How do their analyses compare to yours?

Learning Components

This activity will help you achieve the following learning components:

Cite and summarize a selected article.

Identify sampling methods and the difference between populations and samples.

Analyze the analytical testing approach in a quantitative study.

Write about statistical concepts clearly, accurately, and professionally.

Cite sources appropriately, using APA formatting.

Resources

Discussion Participation Scoring Guide.

APA Module.

Capella University Library.

A Pilot Feasibility and Acceptability Study of Yoga/Meditation.

Perspective: The Role of Numeracy in Health Care.

The Value of a Research Critique to Translate Evidence Into Practice.

cfemotionalwell-beingsf-36corrected-3-mhqnz1yr.xlsx

Sudharsan.J · Accepted Answer

Sheet1
	Patient No	Age (yrs)	Gender (0=M, 1=F)	Race (1=AA, 2=C, 3=H)	BMI	Dietary treatment (1=Std, 2=veg)	Basline SF-36 Well-Being Score	Post-Tx Well-Being
	1	45	Male	1	27	Standard	65	66
	2	55	Male	3	36	Vegetarian	71	45
	3	26	Female	2	35	Standard	58	87
	4	39	Female	3	32	Standard	80	95
	5	79	Female	1	43	Vegetarian	62	77
	6	27	Male	3	24	Vegetarian	58	100
	7	78	Male	1	24	Vegetarian	62	58
	8	60	Male	3	43	Standard	28	40
	9	66	Female	3	30	Vegetarian	13	83
	10	75	Female	1	32	Standard	56	56
	11	51	Male	3	33	Vegetarian	74	77
	12	71	Female	1	22	Standard	96	99
	13	57	Female	2	43	Standard	55	68
	14	59	Female	3	29	Vegetarian	79	42
	15	68	Male	1	27	Vegetarian	44	40
	16	79	Female	1	36	Vegetarian	15	93
	17	36	Male	1	31	Standard	79	82
	18	21	Female	2	26	Standard	62	49
	19	33	Male	1	29	Standard	68	98
	20	78	Male	1	26	Vegetarian	82	79
	21	43	Female	3	41	Vegetarian	44	71
	22	65	Female	3	39	Standard	36	64
	23	84	Female	3	37	Standard	52	66
	24	37	Female	3	26	Standard	48	72
	25	75	Female	3	43	Standard	74	65
	26	51	Male	3	23	Standard	23	78
	27	46	Male	3	40	Vegetarian	30	65
	28	51	Male	2	26	Vegetarian	80	74
	29	23	Male	1	41	Vegetarian	55	71
	30	66	Female	2	39	Vegetarian	63	78
	31	45	Female	2	26	Standard	12	88
	32	70	Male	3	43	Standard	56	60
	33	70	Male	3	26	Standard	61	75
	34	40	Male	2	41	Standard	63	88
	35	54	Female	3	26	Vegetarian	92	93
	36	26	Female	2	41	Standard	64	60
	37	68	Female	3	30	Vegetarian	35	80
	38	46	Male	3	35	Standard	62	70
	39	77	Male	1	42	Standard	43	43
	40	84	Female	3	23	Standard	42	79
	41	50	Female	3	41	Standard	64	50
	42	77	Male	3	43	Standard	7	56
	43	43	Female	2	36	Standard	31	74
	44	27	Female	3	31	Standard	45	41
	45	64	Female	3	27	Vegetarian	9	62
	46	83	Male	3	33	Standard	11	45
	47	29	Male	2	24	Vegetarian	28	41
	48	75	Female	2	32	Vegetarian	35	56
	49	77	Male	3	29	Standard	68	71
	50	75	Female	1	38	Vegetarian	65	91
	51	73	Female	1	37	Vegetarian	48	78
	52	61	Female	2	26	Standard	85	87
	53	64	Male	3	24	Standard	24	96
	54	63	Female	3	40	Vegetarian	48	56
	55	23	Male	3	39	Standard	43	80
	56	77	Male	2	37	Standard	22	90
	57	83	Male	2	42	Standard	46	85
	58	55	Male	3	22	Standard	21	78
	59	21	Female	2	37	Standard	49	42
	60	19	Male	2	36	Standard	53	75
	61	36	Male	2	32	Standard	42	100
	62	52	Male	2	34	Standard	78	93
	63	63	Female	3	40	Vegetarian	57	52
	64	52	Female	1	25	Standard	46	95
	65	34	Male	2	32	Vegetarian	43	91
	66	26	Female	3	36	Standard	10	51
	67	62	Male	1	37	Standard	21	52
	68	39	Male	3	22	Vegetarian	22	99
	69	27	Female	1	27	Vegetarian	75	96
	70	60	Male	2	37	Vegetarian	28	71
	71	37	Female	3	33	Standard	67	56
	72	57	Female	2	36	Standard	40	93
Sheet2
	Row Labels	Count of Gender (0=M, 1=F)
	Female	51.39%
	Male	48.61%
	Grand Total	100.00%
Percentage Totals
Total	Female	Male	0.51388888888888884	0.4861111111111111	
Sheet3
	Row Labels	Count of Gender (0=M, 1=F)
	Female	51.39%
	Male	48.61%
	Grand Total	100.00%
Total	Female	Male	0.51388888888888884	0.4861111111111111	
Sheet5
	Row Labels	Count of Age (yrs)
	19-28	15%
	29-38	10%
	39-48	13%
	49-58	15%
	59-68	19%
	69-78	19%
	79-88	8%
	Grand Total	100.00%
Study population age groups  
(percentage of total)
Total	19-28	29-38	39-48	49-58	59-68	69-78	79-88	0.15277777777777779	9.7222222222222224E-2	0.125	0.15277777777777779	0.19444444444444445	0.19444444444444445	8.3333333333333329E-2	
Correlation
	Patient No	Age (yrs)	Gender (0=M, 1=F)	Race (1=AA, 2=C, 3=H)	BMI	Dietary treatment (1=Std, 2=veg)	Basline SF-36 Well-Being Score	Post-Tx Well-Being
	1	45	0	1	27	1	65	66		Correlation table									Female	51.39%
	2	55	0	3	36	2	71	45			Gender	Race	BMI	Treatment	Baseline-Well Being	Post-Well Being Score			Male	48.61%
	3	26	1	2	35	1	58	87		Age	0.04	-0.05	0.10	0.11	-0.10	-0.06
	4	39	1	3	32	1	80	95		Gender	-	0.04	0.07	0.03	0.10	-0.02
	5	79	1	1	43	2	62	77		Race	-	-	0.03	-0.09	-0.21	-0.18
	6	27	0	3	24	2	58	100		BMI	-	-	-	-0.08	-0.07	-0.29
	7	78	0	1	24	2	62	58		Treatment	-	-	-	-	0.04	0.01
	8	60	0	3	43	1	28	40		Baseline-Well Being Score	-	-	-	-	-	0.

Critiquing Public Health Literature Reporting: Quantitative Data In preparation for your doctoral capstone project, you will need to develop advanced health numeracy (statistical knowledge, SPSS) and...