i3

• process of ordering, categorizing, manipulating, and summarizing data to obtain answers to research questions.

  Data Analysis
• It is usually the first step taken towards data interpretation.

  Data Analysis
• defined as the process of systematically searching and arranging the interview transcripts, observation notes or other non-textual materials that the researcher accumulates to increase the understanding of the study.

  Data Analysis in Qualitative
• is defined as the process of analyzing data that is number-based or data that can easily be converted into numbers.

  Data Analysis in Quantitative
• is the first level of analysis. It helps researchers summarize the data.

  Descriptive Statistics
• provide absolute numbers. However, they do not explain the rationale or reasoning behind those numbers. Before applying descriptive statistics, it is essential to think about which one is best suited for your research question and what you want to show.

  Descriptive Statistics
• Average of a set values

  Mean
• MIDPOINT of a set numerical values

  Median
• used to express how a value or group of respondents within the data relates to a larger group of respondents.

  percentage
• the number of times a value is found.

  frequency
• most common value among a set of values.

  Mode
• Highest and lowest set

  Range
• a branch of statistics that focuses on conclusions, generalizations, predictions, interpretations, hypotheses, and the like. There are a lot of hypotheses testing in this method of statistics that require you to perform complex and advanced mathematical operations.

  Inferential Statistics
• distribution is known and based on a fixed set of parameters

  Parametric Test
• distribution of population is NOT known, and parameters are NOT fixed

  Non parametric test
• is used to assess whether the data are normally distributed

  SHAPIRO-WILK
• It states the sampling distribution of the mean approaches a normal distribution as the sample size increases

  Central Limit Theorem
• refers to how spread out the values are across the data set you are studying.

  it helps you to find how close or not close the data to the mean

  Variance
• square root of the variance.

  Standard Deviation
• refers to the probability value that must be reached before claiming that findings obtained are statistically significant 

  ALSO KNOWN AS SIGNIFICANCE LEVEL

  Alpha Level
• calculated probability that is compared to the alpha level

  P VALUE
• analysis of two variables (independent and dependent variables)

  Bivariate Analysis
• analysis of multiple relations between multiple variables

  Multivariate Analysis
• is a parametric statistical method used for determining whether there is a linear relationship between variables.

  Pearsons R
• when the numerical value of one variable increases or decreases, the other variable increases or decreases as well

  Positive Correlation
• when the numerical value of one variable increases, the other variable decreases, and vice-versa.

  Negative Correlation
• when the two variable have no relationship with each other.

  No Correlation
• Steps in Basic Data Analysis

  Coding, Categorization, Thematic Presentation, Interpretation