Practical Research 2 Flashcards
A design in the field of research serves as a blueprint or skeletal framework of your research study. It is a plan that directs your mind to several stages of your research work
Research Design
Types of Research Design
Descriptive Research
Correlational Research
Quasi-Experimental Research
Experimental Research Designs
This design aims to describe characteristics of a population or phenomenom without manipulating variables. Data is collected through surveys, observations, or case studies to identify patterns and trends.
Descriptive Research
Examines relationships between two or more variables to determine if there is a positive or negativecorrelation. Uses statistical methods like correlation coefficients to analyze data but not establish causality.
Correlational Research
Attempts to establish cause-and-effect relationship by manipulating an independent variable but lacks random assignment of participants.
Quasi-experimental Research
Establishes cause-and-effect relationships by manipulating an independent variable with participants randomly assigned to groups.
Experimental Research Design
Refers to your method or process of selecting respondents or people to answer questions meant to yield data for a research study.
Sampling
Involves all members listed in the same sampling frame representing a certain population focused on your study.
Probability Sampling
Enumerate Probability Sampling
Simple Random
Systematic
Stratified
Cluster
You can choose sample from the population.
Simple Random Sampling
Are the ones to determine who should compose the sample.
Systematic Sampling
The group comprising the sample is chosen in a way that such group is liable to subdivision during the data analysis Stage.
Stratified Sampling
This is a probability sampling that makes you isolate a set of persons instead of individual members to serve as sample members.
Cluster Sampling
Enumerate the Non-probability Sampling
Quota Sampling
Voluntary Sampling
Purposive or Judgmental Sampling
Availability Sampling
Snowball Sampling
You resort to quota sampling if you know the characteristics of the target population very well.
Quota Sampling
The subjects you expect to participate in the sample selection are the ones volunteering to constitute the sample, there is no need for your to do any selection process.
Voluntary Sampling
You choose people whom you are could correspond to the objectives of your study, like selecting those with rich experience or interest in your study.
Purposive and Judgmental Sampling
The willingness of a person as your subject to interact with you counts a lot in this non-probability sampling method
Availability Sampling
Similar to snow expanding widely or rolling rapidly, this sampling method does not give a specific set of samples. This is true for a study involving unspecified group of people.
Snowball Sampling
Types of Research Instrument
Survey or Questionnaires
Standardized Tests.
Experiments
Structured Observations
A Research Instrument is a tool used to collect, measure, and analyze data related to your research interests.
Research Instrument
Collect data through a series of structured questions. This can be self-administered
Survey or Questionnaires
Measure specific variables such as academic performance, intelligence, or personality traits.
Standardized Tests.
Manipulate independent variables to observe their effect on dependent variables under controlled-conditions.
Experiments
Systematically record behaviors or events using predetermined criteria in a controlled setting.
Structured Observations
A data gathering procedure in research refers to the systematic process of collecting information or data relevant to a particular study or investigation.
Data Gathering Procedure
Involves using statistical methods to derive meaningful insights from numerical data.
Data Analysis
2 types of Data Analysis
Descriptive Statistics
Inferential Statistics
Summarize and describe the basic features of a dataset
Descriptive Statistics
Make predictions or inferences about a larger population based on sample data.
Inferential Statistics
