Research Design and Data Analysis
Research Design and Data Analysis
MODULE 2
Module 2 Problem Set
EXAMPLE
Grand Canyon University: RES-866
Approaches to Research Design and Data Analysis
May 15, 2019
Running head: ASSIGNMENT TITLE HERE
1
Running head: MODULE 2
Introduction
Understanding and interpreting data is a vital component to a learner’s research as it reflects the study results. Properly analyzing the data is also crucial as this portrays the outcomes and delivers research findings which is the purpose of completing the study initially. Once data is extracted and analyzed, further development of the topic is discussed and shared allowing for a deeper sense of knowledge of the included variable, perceptions, and anything discovered throughout the study. Astroth and Chung (2018) discussed the importance of reviewing quantitative research studies highlighting the importance of ensuring the results are presenting and interpreted correctly. This article is geared towards nurses as they utilize evidence-based practices throughout many health care settings therefore properly analyzing data and accurately reporting results is critical in the potential care provided. For the purpose of this paper, the learner completed the assigned tasks of Module 2 Problem set which is provided below.
Drinks | Learning Activity 2.11
1. Create standardized scores for all scale variables (price through alcohol).
[DataSet1] \\Client\C$\Users\lauren.hazeltine\Downloads\Drinks.sav
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
Price per 6-pack
35
1.59
7.19
3.0274
1.12343
Cost per 12 Fluid Ounces
35
.27
1.20
.5057
.18732
Calories per 12 Fluid Ounces
35
68
175
139.77
24.447
Sodium per 12 Fluid Ounces in mg
35
6
27
14.66
6.145
Alcohol by Volume (in %)
35
2.30
5.50
4.5771
.60298
Valid N (listwise)
35
a. Which beverages have positive standardized scores on every variable?
· The beverages including each variable with positive standardized scores includes UA, UH, UL, UR, and SA.
b. What does this mean?
· Based on the raw data, these beverages are at or above the mean average or group mean
2. (a) What is the most extreme z-score on each variable? (b) What is the most extreme z-score across all variables?
a.
Variable
Product
Z-Score
price
SA
3.70524
cost
SA
3.70636
calories
UNR
-2.93581
sodium
PF & PJ
2.00859
alcohol
UNR
-3.77651
b.
cost
SA
3.70636
3. What beverage is most typical of all beverages, that is, has z-score values closest to 0 for these variables?
a. The most common beverage is UIR having the closest z-score value to 0.
4. (a) If the variable is normally distributed, what percentage of cases should be above 1 standard deviation from the mean or below 1 standard deviation from the mean?
a. 68%
(b) Calculate this percentage for a couple of the variables. Is the percentage of beverages with an absolute z-score above 1 close to the theoretical value?
b. Upon running calculations for some of the variables, the percentages were above 1 with an absolute z-score and close to the theoretical value.
Notes
Output Created
14-MAY-2019 17:05:54
Comments
Input
Data
\\Client\C$\Users\lauren.hazeltine\Downloads\Drinks.sav
Active Dataset
DataSet1
File Label
SPSS/PC+
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data File
35
Missing Value Handling
Definition of Missing
User defined missing values are treated as missing.
Cases Used
All non-missing data are used.
Syntax
DESCRIPTIVES VARIABLES=price cost calories sodium alcohol
/SAVE
/STATISTICS=MEAN STDDEV MIN MAX.
Resources
Processor Time
00:00:00.00
Elapsed Time
00:00:00.25
Variables Created or Modified
ZzZz01
Zscore(price) Price per 6-pack
ZzZz02
Zscore(cost) Cost per 12 Fluid Ounces
ZzZz03
Zscore(calories) Calories per 12 Fluid Ounces
ZzZz04
Zscore(sodium) Sodium per 12 Fluid Ounces in mg
ZzZz05
Zscore(alcohol) Alcohol by V
