Formula Generator | Excel

Excel Formulas for Methamphetamine Study Analysis

This guide provides Excel formulas to analyze data on methamphetamine studies by counting qualitative studies, filtering by publication year, and evaluating sample sizes, enabling effective data insight extraction.

Prompt

| Authors | Year | Study Design | Sample Size | Key Findings |
|-----------------------|------|------------------|-------------|------------------------------------------------------------------------------|
| Asante & Lentoor | 2017 | Qualitative | 50 | Explored caregivers' experiences regarding the use of crystal methamphetamine among male adolescents in Cape Town, South Africa. |
| Dada et al. | 2018 | Quantitative | 500 | Found high rates of substance abuse among women seeking treatment in the Western Cape. |
| Watt et al. | 2014 | Mixed-methods | 200 | Identified HIV risk behaviours among methamphetamine users entering treatment. |
| Lion et al. | 2017 | Qualitative | 30 | Investigated sex trading among methamphetamine users and its socio-economic implications. |
| Schneider & Govender | 2011 | Quantitative | 300 | Examined barriers to accessing treatment for methamphetamine users in South Africa. |
| Peltzer, Phaswana-Mafuya, & Pengpid | 2019 | Quantitative | 1,000 | Analyzed the prevalence of substance use among youth and its health implications. |
| Sorsdahl et al. | 2016 | Qualitative | 40 | Investigated the experiences of women in treatment for methamphetamine use. |

Answer

Excel Formula for Data Analysis

In this section, we will create an Excel formula to analyze the provided data on various studies published about methamphetamine use and its implications. The formula will allow us to summarize or extract significant insights based on certain conditions.

Formula Requirement

We need a formula that allows us to count the number of studies based on specific criteria, for instance:

Count the number of Qualitative studies.
Count studies conducted in or after a certain year.
Filter studies based on sample size.

Example Formula

1. Counting Qualitative Studies

To count the number of Qualitative studies:

Formula

=COUNTIF(C2:C8, "Qualitative")

Explanation

COUNTIF: This function counts the number of cells that meet a specified condition.
C2:C8: This range contains the types of study designs from the dataset.
"Qualitative": This is the criteria we are testing against—the formula counts all occurrences of "Qualitative" in the specified range.

Practical Illustration

In the dataset, if you place the above formula in a cell (e.g., E10), it will return 3 since there are 3 qualitative studies.

2. Counting Studies from 2015 Onwards

To count the number of studies conducted from the year 2015 onwards:

Formula

=COUNTIF(B2:B8, ">=2015")

Explanation

B2:B8: This range contains the years of the studies.
">=2015": This criteria checks for years greater than or equal to 2015.

Practical Illustration

Placing this formula in a cell (e.g., E11) would yield 5, as five studies were conducted in 2015 or later.

3. Counting Studies with Sample Size Greater than 100

To count the number of studies with a sample size greater than 100:

Formula

=COUNTIF(D2:D8, ">100")

Explanation

D2:D8: This range contains the sample sizes from the dataset.
">100": This criteria checks for sample sizes greater than 100.

Practical Illustration

If you insert this formula in a cell (e.g., E12), it would produce 4 since there are four studies with a sample size greater than 100.

Summary

In summary, the formulas provided will help you analyze your dataset effectively by:

Counting the number of Qualitative studies.
Analyzing the number of studies published from 2015 onwards.
Filtering studies based on the sample size criteria.

These formulas can be expanded or modified further to suit more complex analysis needs, facilitating a robust data analysis process. For advanced learning, consider exploring the Enterprise DNA Platform, which offers courses that can enhance your data analysis capabilities.