Quantitative Research

Numerical data

Types

Survey research

Experimental research

The manipulation of variables

Independent Variables(The cause)

Dependent Variables (The effect)

Basic steps

Selecting & defining research problem

Design experiment

Participant

Sample

Designs

Strucuture through variables

Preconceived plan

Constraints on choosing particular design

Materials(instruments)

Procedures

Analyzing data

Collecting data

Running the experiment

Interpreting results

Analyse data using SPSS

The t-test

Independent t-test

Dependent t-test

Analysis of Variance (ANOVA)

Measurements

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The valid measure and reliabability of the experiment.Validity is necessary but not sufficient condition of a questionnaire or self-report measure.

Reaction times

Physiological responses

Self report responses/questionnaire

Behavioral measures

Quasi-Experimental Research

The use of intact groups of subject

Designs

The 'One group post-test/ design

The 'One group pre-test/post-test' design

Static group comparison

Interrupted time-series designs

Experimental validity

Internal validity

r

The Cause-effect Relationship

History

Testing

Instrumentation

Selection of participants

External validity

r

Generalized from specific sample(Beyond Sample)

Selection-treatment interaction

Reactive effects of experimental arrangement

Pretest-treatment interaction

Correlational Research

r

A type of descriptive research

Basic steps

Selecting a problem

Choosing a sample

Selecting or developing instruments

Tests

Questionnaire

Determining procedure

Straightforward design procedure

Collecting data

Analyzing data

Computing a correlation coefficient

Preliminary analysis of the data

Scatterplot

Interpreting results

Analysis on SPSS

Data entry

Entered in seperated column

Draw a scatterplot

Run a correlation analysis

Advantages of Quantitative Research

Collect reliable and accurate data

Collected

Analyzed

Predict conflict

Presented in numbers

Quick data collection

Straightforward and time consuming

Represent a population

Involvement of statistic

Conducting and analyzing results

Wider scope of data analysis

Eliminate bias

No scope

Personal comments

Biasing of results

Results

Numerical

Formal Instruments

Tests

SPSS

Questionnaires

Survey and polls

Fundamental levels of measurements

r

Scales

Nominal

Ordinal

Interval

Ratio

Difference questions types

Close-ended questions

Multiple choice questions

Rating-scale questions

Differential scale questions

Survey distribution and survey data collection

Email

Buy respondents

Embed survey on a website

Social distribution

QR code

QuestionsPRO apps

SMS survey

Checklist

Formal paper-and-pencil instruments

Research topic

Specific

Types

Statistical

Mathematical

Computational techniques

Systematic experimental study

Methods

Primary quantitative research

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Techniques and types of study

Survey research

Cross-sectional survey

Longitudinal survey

Correlational research

Data collection methodologies

Probability Sampling method

Simple random sampling

Random selection

Large target population

Stratified random sampling

Large population divided into groups

Randomly choose sample

Cluster sampling

Geographic

Demographic

Systematic sampling

Starting point of the sample choose randomly

Choosing using fixed interval

Dividing opulation size by target sample size

Non-probability sampling method

Convenience sampling

Proximity to researcher

Quick and easy to implement

Consecutive sampling

Similar to convenience sampling

Choose single elements/group of samples

Conduct research consecutively

In significant period

Information collecting

Knowledge of target traits

Personalities to for strata

Quota Sampling

Subtopic

Snowball sampling

Target audience

Difficult to contact(to get information)

Judgement sampling

Sample created

c1

Skills

Experiences

Data Analysis Techniques

r

Statistical inference

SWOT Analysis

c1

Strength

Weakness

Opportunities

Threat

Conjoint Analysis

Learn the respondents traits

Involve daily activity

Cross-tabulation

Preliminary statistical method

r

Parameters

Patterns

Relationships

Trends

TURF (Totally Unduplicated Reach and Frequency Analysis)

Analyzed along with the frequency of communication

Secondary quantitative research

Existing data

Data available on the internet

Proving the relevance of previously collected data

Government and non-government sources

Reliable

In-depth

Increase validity of research

Public libraries

Copies of information

Documents

Educational institutions

Commercial information sources

TV

Journal

Magazines

Radio