Lesson 1-2 Flashcards
Is defined as a means for testing objective theories by examining the relationship among variables (Creswell, 2009)
Quantitative Research
It is conducted to see if there is any relation or association between variables
Correlational research
A statistical measure of association between two variables
Correlation
The claim that a change in one variable influences another variable
Causation
Focuses on cause and effects
Causal research
Three factors of correlational research
Association, Magnitude, Direction(of the association)
Factor of correlational research: relationship between variables
Association
Factor of correlational research: To what extent does the relationship exist
Magnitude
Factor of correlational research: To which direction are the variables moving
Direction of the association
What is the correlation type of: 1
Perfect correlation
What is the correlation type of: 0.81-0.99
Strong correlation
What is the correlation type of: 0.71-0.80
Good correlation
What is the correlation type of: 0.51-0.70
Weak correlation
What is the correlation type of: 0.01-0.50
Poor correlation
What is the correlation type of: 0
No correlation
Value coefficient of Perfect correlation
1
Value coefficient of Strong correlation
0.81-0.99
Value of coefficient of Good correlation
0.71-0.80
Value of coefficient of Weak correlation
0.51-0.70
Value coefficient of Poor correlation
0.01-0.50
Value of no correlation
0
Deals with numerical values and how they can describe a phenomenon.
Quantitative Research
_______ is The go-to approach for scientific inquiry because it has the ability to test ___________
Quantitative research, Hypothesis
The basis of formulating and testing hypotheses are
Variables
The ones that are usually identified, examined, described, or correlated to answer a scientific inquiry
Variables
Is manipulated especially in experiments
Independent variable
Depends on the independent variable.
Dependent variable
Should be an environment where all variables are identified and can be controlled.
Controllability
From larger sample sizes that the results are based on as a representative of the population.
Generalizability
Results of data are observable and measurable using structured instruments.
Objectivity
Study should be replicable by other teams of researchers that will eventually come up with similar outcomes.
Replicability
Three Weaknesses of Quantitative Research
- Large samples require a lot of time and effort.
- Statistical analysis of data requires an expert to be able to perform.
- Quantifying and reducing observations to numerical values makes it too simplistic.
Three Strengths of Quantitative Research
- Analysis of data is assisted with statistical methods.
- Large-scale research can be undertaken.
- Data can be presented in graphical or tabular form.
The experimental and nonexperimental types of quantitative research depend on the _______________ and the __________ of the problem being investigated.
Topic, Nature
To identify a cause-effect relationship between the variables where the samples are randomized.
True Experimental research
A nonexperimental research design focuses on the description of factors, variables, or phenomena that occurs in nature
Descriptive Research
To compare two variables in order to identify whether there exists a causative relationship between them. It involves two or more groups and one independent variable.
Comparative Research (Causal-Comparative Research)
Compares two variables then identifies the relationship between them.
Correlational Research
Mirrors experimental research but it is not true experimental research where a casual relationship can be determined with the use of dependent and independent variables. It use assigned samples.
Quasi-experimental Research
Quantitative Research may either be __________ or ___________
Correlational, Causal
Quantitative Research focuses on the three following:
- Collection of observable and measurable data.
- Standardized data collection instruments.
- Statistical techniques in data analysis.
Involves identifying relationships between two variables
Correlational Research
As stated by Vanderstoep and Johnston (2009), A ___________ is a “statistical measure of association between two variables”.
Correlation
Who stated a ____________ is a “statistical measure of association between two variables”.
Vanderstoep and Johnston (2009)
It is often used in quantitative research in the Social Sciences, Psychology, Economics, Political Science.
Correlational Research
Correlational Research looks at the following
- Whether an association exists between variables.
- Magnitude of the existing association between two variables.
- Direction of the association between two variables.
looks at causes and effects.
Causal research
As stated by Vanderstoep and Johnston (2009), A ____________ refers to the “claim that a change in one variable creates a change in another variable”.
Causation
Who stated that _________ refers to the “claim that a change in one variable creates a change in another variable”.
Vanderstoep and Johnston (2009)
Causal research follows the three foloowing:
- Causal research deals with cause and effect.
- It is often used in studying the natural sciences.
- In chemistry, it is applied in the conduct of chemical experiments to see whether a change in the quantity of one substance affects the characteristics of another substance.
Survey research is a ______________ type of quantitative research. This design makes use of a questionnaire as its main data collection tool.
Correlational
(Acquires information one point in time)
Cross-sectional
(Acquires information at multiple points in time to compare, contrast, and etc.)
Longitudinal
Types of survey designs
Cross-sectional, Longitudinal
A __________________ is a general group of people with similar characteristics.
Population
A _____________________ is a subgroup of the population that is chosen, either randomly or purposefully.
Sample
Also called the “questionnaire”. Contains close-ended questions with fixed answers.
Survey Instrument
(Makes comparisons among the survey results to establish and explain relationships)
Inferential analysis
(Provides a general report of the results of the survey which may include frequencies or average scores)
Descriptive Analysis
The Data analysis and interpretation
Descriptive Analysis and Inferential Analaysis
A type of quantitative research aimed at causation.
Experimental Research
Respondents - The ___________________ group receives the experimental treatment
Experimental
Respondents - The _____________ group does not receive an intervention.
Control
(causes and explains the effect)
Independent Variable
(the response to the application of or changes in the dependent variable).
Dependent Variable
Two types of Variables
Dependent and Independent Variables
Stages of the Experimental Procedure
Pretest, Actual intervention, Post test
Used to record the observations at any stage of the experiment.
Instrumentation and Materials
4 Experimental Procedures
Pre-Experimental, True Experiment, Quasi Experiment, Single-Subject design
It is similar to the survey research because results in experimental research are analyzed in both descriptive and an inferential manner. The difference between the two is the overall goal of causation and not correlation.
Data analysis and interpretation
Both variables are moving in the same direction.
Positive Correlation
Variables move in a not same direction
Negative Correlation
When x moves but y does not. No relationship
Zero Correlation/No Correlation
Studies and provides an experimental intervention to a single experimental group. It does not make use of a control group.
Pre experimental research
Uses both experimental and control groups but the respondents are not randomly assigned into groups.
Quasi experimental
Makes use of both experimental and control groups whose respondents are randomly assigned.
True experiment
Only has a single subject individual as the lone participant of the experiment.
Single subject experiment
It is similar to the survey research because results in experimental research are analyzed in both descriptive and an inferential manner. The difference between the two is the overall goal of causation and not correlation.
Data analysis and interpretation