## How do you write a case study for a dissertation?

- Step 1: Select a case. Once you have developed your problem statement and research questions, you should be ready to choose the specific case that you want to focus on.
- Step 2: Build a theoretical framework.
- Step 3: Collect your data.
- Step 4: Describe and analyze the case.

## What is Slovin’s formula?

– is used to calculate the sample size (n) given the population size (N) and a margin of error (e). – it’s a random sampling technique formula to estimate sampling size. -It is computed as n = N / (1+Ne2).

## Which test is used when sample size is more than 30?

z-test

## How do you collect data for a Phd?

There are two general research methods, which you could use to analyse the data you have obtained through different collection methods:

- Quantitative Research. Quantitative research is used to quantify and generalise results from a sample to the population of interest.
- Qualitative Research.

## How many FGDS are enough?

∎ There is no consensus on the optimal number of participants per FGD, but a range of 6 to 12 is considered sufficient to generate an active discussion. That is, for each FGD, you will aim to identify 6 to 12 participants sharing specific characteristics.

## How do you write a secondary data dissertation?

Step 1: Develop your research question(s) Step 2: Identify a secondary data set. Step 3: Evaluate a secondary data set. Step 4: Prepare and analyse secondary data.

## Why is 100 a good sample size?

The minimum sample size is 100 Most statisticians agree that the minimum sample size to get any kind of meaningful result is 100. If your population is less than 100 then you really need to survey all of them.

## Where can I get data for my dissertation?

Some obvious sources of theoretical material are journals, libraries and online databases like Google Scholar, ERIC or Scopus, or take a look at the top list of academic search engines (2019). You can also search for theses on your topic or read content sharing platforms, like Medium, Issuu, or Slideshare.

## What is Z for 95 confidence interval?

The Z value for 95% confidence is Z=1.96. [Note: Both the table of Z-scores and the table of t-scores can also be accessed from the “Other Resources” on the right side of the page.] What is the 90% confidence interval for BMI? (Note that Z=1.645 to reflect the 90% confidence level.)

## What is a good sample size for a focus group?

More questions, fewer people. The ideal size of a focus group is usually between five and eight participants. If the topic is of minor concern to participants, and if they have little experience with the topic, then a group size of 10 could be productive.

## How many participants should be in a quantitative study?

100 participants

## What is the minimum sample size needed for a 95% confidence interval?

We want to construct a 95% confidence interval for with a margin of error equal to 4%. Because there is no estimate of the proportion given, we use for a conservative estimate. This is the minimum sample size, therefore we should round up to 601.

## What sample size do I need for 95 confidence?

How to calculate sample size

Desired confidence level | z-score |
---|---|

85% | 1.44 |

90% | 1.65 |

95% | 1.96 |

99% | 2.58 |

## What is Cochran’s formula?

The Cochran formula allows you to calculate an ideal sample size given a desired level of precision, desired confidence level, and the estimated proportion of the attribute present in the population. p is the (estimated) proportion of the population which has the attribute in question, q is 1 – p.

## What if n is less than 30?

If the sample size n is less than 30, you may assume that the data comes from a normal population, allowing you to perform a t-test. In all cases assume that we wish to test the null hypothesis Ho: . If a t-test is called for give limits for the p-value.