Research Analysis

Question 1

Master thesis based on qualitative research approach often rely on a combination of interviews, observation and internal documents for data collection. When you have collected a huge amount of data – how do you proceed to analyze the data?

Answer 1

Analytical Induction

Pursuing data until no cases are inconsistent
0, Rough Definition of RQ
1 Hipotetical Explanation
2. Explanation of Cases
3.a Deviant Cases
4. a Reformulate Hypotesis
4,b. Hypotetical Explanation to Eliminate Deviant Cases
3.b. No Deviant Cases
4.c, End of Examination of Cases. Data Collection Cases

Grounded Theory

1. Research Questions
2. Theoretical Sampling
3. Collecting Data
   4, Coding————>Concepts
   5, Content Comparison ———>Categories
   6, Saturate Categories
   7, Elaborate Relationship Bewteen Catogories
   8, Theoretical Sampling
   9, Collect Data
   10 Saturate Categories
4. Test hypotesys——-> Substative Theory
   12 Collection and Analysis in other settings

Important Concepts.

Concepts
Categories
Hypotesis
Theory: A set of well developed Categories that are systematically related trough statements or relationships from a theoretical Framework that explain some relevant Phenomena.

Question 2

b. Are there any differences in comparison to quantitative study based on survey data (that also can generate a substantial amount of data)?

Answer 2

Quantitative:
CLASIFY DATA
Dichotomus
Nominal-Categorical
Ordinal
Inverval/Radio

UNIVARIATE ANALYSIS
Frequency Analysis
Pie Charts
Histogram
Central Tendency
Dispersion

BIVARIATE ANALISYS

• Regresion
• Logistic Regresion
• Contigency
• One way (ANOVA)

MULTIVARIATE ANALYSIS

STATISTICAL SIGNIFICANCE

Question 3

c. Are there any ethical issues to consider during data and writing up?

Answer 3

Secondary Data Analysis: Ethical Issues and Challenges

The existing data can be analyzed to generate new hypothesis or answer critical research questions. This saves lots of time, money and other resources.

Secondary data analysis

Secondary analysis refers to the use of existing research data to find answer to a question that was different from the original work (2).

Issues in Secondary data analysis

Identifing Information

Anonimyzation: is appropriately coded so that the researcher does not have access to the codes, then it does not require a full review by the ethical board.
Researcher MUSTt also indicate how participants’ privacy and the confidentiality of the data will be protected

ownership of the original data must be acknowledged.

kept safe from unauthorized access, accidental loss or destruction. Data in the form of hardcopies should be kept in safe locked cabinets whereas softcopies should be kept as encrypted files in computers

Issues in Secondary analysis of Qualitative data

subject’s personal views. However, the best practice is to plan anonymisation at the time of initial transcription. Use of pseudonyms or replacements

Question 4

d. What is meant by a “systematic combining: an abductive approach to case research”?

Answer 4

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Question 5

e- Statistical Significance

Answer 5

A test of statistical signifi cance allows the analyst to estimate how confi dent he or she can be that the results deriving from a study based on a randomly selected sample are generalizable to the population from which the sample was drawn. When examining statistical signifi cance in relation to the relationship between two variables, it also tells us about the risk of concluding that there is in fact a relationship in the population when there is no such relationship in the population. If an analysis reveals a statistically signifi cant fi nding, this does not mean that that fi nding is intrinsically signifi cant or important. The word ‘signifi cant’ seems to imply importance. However, statistical signifi cance is solely concerned with the confi dence researchers can have in their fi ndings. It does not
mean that a statistically signifi cant fi nding is substantively signifi cant.