Kategorier: Alle - data - quantitative - techniques - sampling

af Siti Nurkamaria 3 år siden

144

Quantitative Research

Quantitative research methods are crucial for collecting and analyzing numerical data to draw meaningful conclusions and inform decision-making processes. Techniques in this field include correlational research, cross-sectional surveys, and longitudinal surveys, each serving to capture data at different points in time or from various perspectives.

Quantitative Research

Quantitative Research

Type in the name of the company you are going to have an interview with.

Methods

Secondary quantitative research
Existing data

Commercial information sources

Radio

Magazines

Journal

TV

Educational institutions

Public libraries

Documents

Copies of information

Government and non-government sources

Increase validity of research

In-depth

Reliable

Data available on the internet

Proving the relevance of previously collected data

Primary quantitative research

Collecting data directly

Data Analysis Techniques

Statistical inference

TURF (Totally Unduplicated Reach and Frequency Analysis)

Analyzed along with the frequency of communication

Cross-tabulation

Preliminary statistical method

Parameters

Trends

Relationships

Patterns

Conjoint Analysis

Involve daily activity

Learn the respondents traits

SWOT Analysis

Evaluate the performance internally and externally to develop effective strategies of improvement.

Threat

Opportunities

Weakness

Strength

Data collection methodologies

Non-probability sampling method

Judgement sampling

Sample created

Researchers

Experiences

Skills

Snowball sampling

Difficult to contact(to get information)

Target audience

Quota Sampling

Subtopic

Consecutive sampling

Information collecting

Personalities to for strata

Knowledge of target traits

Conduct research consecutively

In significant period

Choose single elements/group of samples

Similar to convenience sampling

Convenience sampling

Quick and easy to implement

Proximity to researcher

Probability Sampling method

Systematic sampling

Dividing opulation size by target sample size

Choosing using fixed interval

Starting point of the sample choose randomly

Cluster sampling

Demographic

Geographic

Stratified random sampling

Randomly choose sample

Large population divided into groups

Simple random sampling

Large target population

Random selection

Techniques and types of study

Correlational research

Longitudinal survey

Cross-sectional survey

Research topic

How ambitious are you?

Systematic experimental study

Where and how do you see yourself in 5 years time?


Type in the answers.

What are your long-term goals ?


Type them in.

Computational techniques
Mathematical
Statistical
Specific

What are your short-term goals ?


Type them in.

Formal Instruments

Do you fully understand what this position implies?

After you've made some research on the company, read the job description thoroughly, and try to fully understand what your responsibilities will be.

Formal paper-and-pencil instruments
Checklist

What would you do on the first day?
What about the first week(s)? Fill in some of the actions that you are planning to take.

Questionnaires

What do you think the main challenges will be?


Type them in.

Survey and polls

Survey distribution and survey data collection

SMS survey

QuestionsPRO apps

QR code

Social distribution

Embed survey on a website

Buy respondents

Email

Difference questions types

Differential scale questions

Rating-scale questions

Multiple choice questions

Close-ended questions

Fundamental levels of measurements

Scales

Ratio

Interval

Ordinal

Nominal

What will be your main tasks?


Type them in.

SPSS

Advantages of Quantitative Research

Eliminate bias
Results

Numerical

No scope

Biasing of results

Personal comments

Wider scope of data analysis
Quick data collection
Straightforward and time consuming

Conducting and analyzing results

Involvement of statistic

Represent a population

Collect reliable and accurate data
Presented in numbers
Predict conflict
Analyzed
Collected

Numerical data

Research the company

You should find and learn as much as you can about the company where you are having an interview.

The interviewer will want to see what you know about them and why you chose the company.

Doing your homework will show that you are really interested.

Types

What can you do for this company that someone else can't?


Type in several unique traits that will turn you into the perfect candidate for the position.

Correlational Research

A type of descriptive research

Analysis on SPSS

Run a correlation analysis

Draw a scatterplot

Data entry

Entered in seperated column

Preliminary analysis of the data

Scatterplot

Computing a correlation coefficient

Determining procedure

Straightforward design procedure

Selecting or developing instruments

Questionnaire

Tests

Choosing a sample

Selecting a problem

Experimental research

Experimental validity

External validity

Generalized from specific sample(Beyond Sample)

Pretest-treatment interaction

Reactive effects of experimental arrangement

Selection-treatment interaction

Internal validity

The Cause-effect Relationship

Selection of participants

Instrumentation

Testing

History

Quasi-Experimental Research

The use of intact groups of subject

Interrupted time-series designs

Static group comparison

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

The 'One group post-test/ design

Measurements

The valid measure and reliabability of the experiment.

Validity is necessary but not sufficient condition of a questionnaire or self-report measure.

Behavioral measures

Self report responses/questionnaire

Physiological responses

Reaction times

Basic steps

Interpreting results

Analyse data using SPSS

Analysis of Variance (ANOVA)

The t-test

Dependent t-test

Independent t-test

Collecting data

Running the experiment

Analyzing data

Design experiment

Procedures

Materials(instruments)

Designs

Constraints on choosing particular design

Preconceived plan

Strucuture through variables

Participant

Sample

Selecting & defining research problem

The manipulation of variables

Dependent Variables (The effect)

Independent Variables(The cause)

Survey research