IVA-BIO 1
A questionnaire is a research instrument consisting of questions to gather information from respondents (Mcleod, 2018). The term questionnaire usually means a form containing a set of pre- determined questions used for collecting information (data) from and about people as part of a survey (Scott & Mazhindu, 2014).
Questionnaires can be used in various types of research, such as descriptive, comparative, and attitudinal. There are many different types of questionnaires. The type of questionnaire used will depend on the research question being asked. Questionnaires can be used to produce both qualitative and quantitative data (Scott & Mazhindu, 2014).
Often a questionnaire uses both open and closed questions to collect data. This is beneficial because both quantitative and qualitative data can be obtained (Mcleod, 2018).
Study I: Questionnaire “Prevaccination Checklist for COVID-19 Vaccines” This study aims to review the results from the prevaccination checklist for COVID-19 Vaccines in the Primary Care Setting. A small sample of the subject was selected to evaluate the understanding of the questions. Not all the questions were analyzed, and the privacy of participants was kept safe.
“Prevaccination Checklist for COVID-19 Vaccines”
For vaccine recipients: Name Age
The following questions will help us determine if there is any reason you should not get the COVID-19 vaccine today.
If you answer "yes" to any question, it does not necessarily mean you should not be vaccinated. It just means additional
questions may be asked. If a question is not straightforward, please ask your healthcare provider to explain it.
1. Are you feeling sick today?
___ Yes __ No ___Don't know
2. Have you ever received a dose of the COVID-19 vaccine?
___ Yes __ No ___Don't know
• If yes, which vaccine product did you receive? (mark)
. Pfizer-BioNTech. Moderna. Janssen (Johnson & Johnson) Another Product
• Have you received a complete COVID-19 vaccine series
(i.e., one does Janssen or two doses of an mRNA vaccine [Pfizer-BioNTech, Moderna])?
___ Yes __ No ___Don't know
• Did you bring your vaccination record card or other documentation?
___ Yes __ No ___Don't know
Source: (CDC, 2021)
Table 1. The data from the Vaccine questionnaire (Selected items)
Study 2: Patient Health Questionnaire (PHQ-9) The second study will use the PHQ-9 self-administered version. The PHQ-9 is the depression module, which scores each of the nine DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 has been validated for use in primary care (Sun et al., 2020).
Participa nt Age
Are you feeling sick today?
Have you ever received a dose of the COVID- 19 vaccine?
Have you ever had an allergic reaction ?
Have you ever had an allergic reaction to another vaccine (other than the
J.L. 55 YES NO NO NO A.S. 66 NO YES NO NO K.W 32 NO NO NO NO C.H 45 NO YES YES NO R.Y. 54 NO NO NO NO W.D. 71 NO YES NO NO
It was applied in a sample size of 15 adult patients seen at Louisiana Well Medical Center (LWMC) affected by a severe weather event and with depression symptoms.
Instruction: Over the last two weeks, how often have you been bothered by any of the following problems?
Table 2: Primary data results from surveys
Questions number (1 to 9) and ScorePati
ent 1 2 3 4 5 6 7 8 9 Scor
e1 0 1 3 0 2 2 3 3 0 14 2 2 3 3 3 2 2 0 15 3 3 3 3 3 2 1 1 0 16 4 3 3 3 3 3 0 3 1 19
5 a 0 0 0 0 0 0 0 0 0 0 6 3 3 3 3 3 3 3 3 3 27 7 3 3 3 2 0 2 1 0 2 16 8 2 3 1 2 2 2 2 1 0 15 9 2 3 3 3 1 1 3 2 0 18
10 0 2 2 1 0 1 2 1 0 9 11 2 2 0 0 3 3 0 0 2 12 12 1 2 3 1 1 1 3 1 0 13
Missing Information (Score of 5–9 is classified as mild depression; 10–14 as moderate depression; 15–19 as moderately severe depression; ≥ 20 as severe depression)
1. Descriptive Statistics ◦ How are data described and summarized? ◦ What are measures of central tendency and
dispersion? ◦ How are measures of central tendency and dispersion
calculated? ◦ Which measure of central tendency to use and when? ◦ How to calculate an odds ratio?
Descriptive Statistics: Descriptive statistics is the term given to analyzing data that summarize and organize characteristics of a data set. A data set is a collection of responses or observations from a sample or entire population. (Bhandari, 2020). Descriptive statistics are used in many aspects of health care; they are, in fact, the most common type of statistic. Descriptive statistics are used to manage, monitor, and evaluate health services and those working within those services. This is why understanding descriptive statistics is essential for those who work in a health setting (Scott & Mazhindu, 2014).
How are data described and summarized?
13 3 3 2 1 1 3 2 3 0 18 14 1 1 0 1 1 0 0 0 0 4 15 2 3 2 2 1 1 1 0 0 12
There are three main types of summarized descriptive statistics:
• The distribution concerns the frequency of each value. Frequency distribution
A data set is made up of a distribution of values or scores. In tables or graphs, you can summarize the frequency of every possible value of a variable in numbers or percentages.
• The central tendency concerns the averages of the values. Measures of central tendency estimate the center, or average, of a data set. The mean, median, and mode are three ways of finding the average.
Mean: The sum of all values divided by the number of values and is the most popular response or value in the data set.
Median: The value in the exact middle of the data set when ordered from low to high.
Mode: The value that appears the most in a data set.
• The variability or dispersion concerns how spread out the values are.
Variability describes how far apart data points lie from each other and the center of a distribution. Along with measures of central tendency, measures of variability give a descriptive statistic that summarizes the data.
Variability is also referred to as spread, scatter, or dispersion. It is most commonly measured with:
• Range: the difference between the highest and lowest values
• Interquartile range: the range of the middle half of a distribution
• Standard deviation: average distance from the mean
• Variance: average of squared distances from the mean
Which Measure of Central Tendency to Use and When? Means are the most sensitive. The mean considers all the values of each case in the distribution, as described above, and it is arithmetically based so that it can be used in further calculations. However, it is used on interval or ratio levels of measurement data and is easily distorted by outliers.
The median, which does not take into account the values of the cases, is unaffected by outliers and is suitable for ordinal/ranked data. Where the mean is distorted by the presence of outliers, the median should be used.
How to Calculate an Odds Ratio? Odds Ratio
According to Scott & Mazhindu, (2014)
Odds are the chance (probability) of something happening expressed as a proportion. The odds of something happening can be calculated as the number of times that something happened divided by the number of times it didn't if given the opportunity. The chance of you tripping on a particular paving slab could be estimated from the number of times individuals have tripped on that paving slab while walking over it divided by the number of non-trips (p. 49).
An odds ratio (OR) measures the association between a specific property A and a second property B in a population and is expressed as A : B (Glen., 2021).
References
Bhandari, P. (2020). Descriptive statistics, definitions, types, examples. Scribbr. https://www.scribbr.com/statistics/descriptive- statistics/
Links to an external site. CDC. (2022). Prevaccination checklist for COVID-19 vaccines for vaccine recipients. https://www.cdc.gov/vaccines/covid-19/ downloads/pre-vaccination-
Links to an external site. screening-form.pdf
Links to an external site. Glen., S. (2021). Odds ratio calculation and interpretation. Statistics how to. https://www.statisticshowto.com/probability-and- statistics/probability-main-
Links to an external site. index/odds-ratio/
Links to an external site. Mcleod, S. (2018). Questionnaire: definition, examples, design, and types. Simplypsychology.org; Simply Psychology. https:// www.simplypsychology.org/questionnaires.html
Links to an external site. Scott, I., & Mazhindu, D. (2014). Statistics for healthcare professionals: an introduction. Sage.
Spirer, H., Spirer, L., & Jaffe, A. J. (1998). Misused statistics. (2nd ed.). CRC Press.
Sun, Y., Fu, Z., Bo, Q., Mao, Z., Ma, X., & Wang, C. (2020). The reliability and validity of PHQ-9 in patients with major depressive disorder in a psychiatric hospital. BMC Psychiatry, 20(1). https:// doi.org/10.1186/s12888-020-02885-6
Links to an external site. Weatherburn, D. (2011). Uses and abuses of crime statistics. Crime and justice bulletin: Contemporary issues in crime and justice, NSW bureau of crime statistics and research, 153, 1 – 16.