Date January 15, 2014
Date January 15, 2014
Educational Research Procedure
Educational Research Procedure
prepare
Reviewing the
Reviewing the
Literature
Literature
!
! Literature review is a process ofLiterature review is a process of
studying
studying related literaturerelated literature and and
past research past research..
!
! Help researchers toHelp researchers to gaingain
understanding
understanding of the research of the research area: concepts, theories and area: concepts, theories and models.
models.
!
! Expose to related past researExpose to related past researchch
and
and recommendationrecommendation for for further research.
Why?
Why is it necessary for you to have a strong knowledge background in your research area?
Literature review facilitates your explanation on the important variables of your research topic.
Literature Review
Understanding Research Area Survey of Findings of Past Research Survey of Methodology of Past ResearchSurvey of Findings of Past Research
! Past Research in Malaysia
- survey on the kinds of research that have been done within Malaysia, which are similar to your topic.
! Past Research in Foreign Countries
- if your research problem has not been done by many Malaysians, you would have to refer to studies from abroad.
Survey of Methodology of Past
Research
! There are qualitative and quantitative studies with
distinct research designs.
! Methods of studies: experiment, survey, case study
and ethnography.
! Compare and contrast : strengths and weaknesses - to
! Research Designs
- strategy of conducting the research - involving choice of samples, organizing the samples into suitable
grouping and methods and techniques of data collection.
! Research Sample and Instruments
- decision on size of sample for your study depends on the research methodology you used.
- Survey research (big sample), Experimental studies (environmental constraint), Ethnographic study and case study (small sample).
! Methods of Data Analysis
- journals, theses, and research reports give a systematic account of data analysis.
- data presented descriptively and being analyzed using specific methods.
Planning
the Research
Design
Research is a formal and systematic
application of the scientific and disciplined inquiry to the study of problems.
Research Planning
! Research plan describes the nature of the participants
in the research, variables, the kind of data, the
instruments used, the condition for data collection and the techniques to analyse the data.
Formulate the purpose, objectives, questions and
hypothesis
Draw out methods and procedures
Research Design Quantitative Qualitative Combination of Quantitative and Qualitative 1. Experimental 2. Quasi -experimental 3. Survey 4. Correlational 1. Ethnographic 2. Case study 3. Historical 1. Mixed Method 2. Action Research
Determining the Sampling
Procedure
! Describe and execute procedures to collect
information.
- identifying research participants, the strategies to collect data and activities describing how, when, why and from whom the data were collected.
Constructing the Research
Instrument
! Research instrument should be planned and
developed well to suit the purpose and objectives of the research. Determining Objectives Determining Contents 1. 2.
Constructing the Validity and
Reliability of the Instrument
! Validity is concerned with the appropriateness of the
interpretations made from the data collection.
1. Content validity
- degree to which a research covered an intended content area.
- item validity : whether the test items really measures the content area.
- sampling validity : how well the test samples the total content area being tested.
- experts in the research covered are asked to assess its content validity.
Validity
2. Criterion-Related validity
- concurrent validity : degree to which scores on one test correlate to scores on another equivalent test.
- predictive validity : predict how well individuals will do in a future situation.
3. Construct validity
- constructs are non-observable traits such as anxiety,
intelligence, and honesty (but you can only observe its effect). - the construct explains “what does this research conducted for?”
Reliability
Reliability
- reliability is a synonym for consistency and replicability over
time, over instruments and groups of respondents (Creswell, 2002). i) Stability
- reliable instrument will achieve similar data from similar respondents over time.
ii) Equivalence
- if the equivalent forms for the test produces similar results, then the instrument is reliable.
iii) Internal Consistency
- demands the instrument to be run only once.
- test items divided into two halves (matching difficulty or content), the marks obtained in each half should be correlated highly to the other half.
Data Collection procedure
! Sampling in Qualitative research
a) Sampling strategies (non-probability sampling strategies)
- Convenience sampling : relies heavily on the subjects’
accessibility
- Snowballing sampling : to locate subjects with certain
attributes necessary in a study.
- Purposive sampling : research use their expertise about
some group to select subjects from the population.
- Quota sampling : develop table with cells to indicate
gender, age, education, and other attributes identified by the researcher.
! Methods of data collection (Qualitative research)
- data from documents - data from interviewing - data from observation
! Quantitative research data collection: 1. Achievement tests 2. Examination scores 3. Questionnaires 4. Inventories 5. Checklist 6. Observation schedules 7. Rating scales
Analysing and Interpreting the
Data
Analysing and Interpreting the Data
Analysing Qualitative Data
! Steps use to analyze qualitative data:
- preparing and organizing data
- describing and developing themes - reporting findings
- interpreting the findings
- validating the accuracy and credibility
! Useful conceptualization is to think about the process
as both simultaneous and iterative - going back and forth a few times
Analysing Quantitative Data
! Before quantitative data could be analyzed, a researcher would have
to prepare and organize data for analysis as follows: 1. Assemble all data into numeric score or value
2. Selecting a statistical programme 3. Inputting data
4. Exploring and descriptively analyzing the data (to examine for errors and missing data)
5. Cleaning and accounting for missing data
6. Calculating descriptive and inferential statistics - measures of central tendency
- measures of variability
Reporting the Results and Findings
! The results of a research study are the products of the data
analysis.
! Conclusions are the inferences that the researcher draws
from the results.
! Logical flow is critical - convince the reader
! Tables can be used effectively for summarizing results but
their content must be adequately labelled and logically organized.
Reporting the Results and Findings
! Introduction
- The results chapter is probably the most straightforward to write.
- Include tables and graphs that illustrate your finding
! Writing your results
- Stress on the purpose - to present facts.
- Communicate the answer to your research questions to your audience in clear manner as possible.
Reporting the Results and Findings
! Profile Respondents
- Respondents are your subjects, person who answers the questions either in an interview or a questionnaire.
- The name(s) of the respondents must be complete, inclusive of their background information such as: gender, age, education, family or
economic status
! Research Findings
- The findings report - based on the research questions
- The result of the data analysis should be reported in an objective manner.
- Research findings relate to the outcome of the research : “did they answer your research questions?”
“One is all, All is one”
–Rozainizam, Zyarfan Hakim