|
S. No. |
TOPICS TO BE COVERED |
DOMAIN |
TEACHING HOURS |
| Module 1 |
- Introduction to statistics and research process.Types and motivation of research.
- Scientific approach to enquiry in comparison to native, common sense approach.
- Definition, conceptual understanding of statistical measures, popular concepts and misuse of statistics.
- Role need and scope of research in Nutrition andDietetics.
|
Must Know
Research process and the application of statistics in nutrition.
Desirable to Know
Types of research.
Nice to Know
Popular concepts and misuse of statistics. |
8
|
| Module2 |
- Steps in the Research Process identifyinginterest areas and prioritizing.
- Selection of the topic and considerations in selection.
- Review of related literature and research.
- HypothesisConcepts and theories.
- Research Design.
- Research questions, objectives and assumptions.
- Hypothesis- meaning, attributes of a sound hypothesis, Stating the hypothesis and types of hypothesis, Hypothesis testing- null hypothesis, sample distribution, level of significance, critical regions, Type-I and Type II errors.
- Variables- types of variables including discrete and continuous variables.
- Conceptual definitions and operational definitions.
|
Must Know
Identifying research problem, framing objectives, setting hypothesis& research design, testing hypothesis, reviewing literature.
Desirable to Know
Types of variables including discrete and continuous variables. Level of significance, critical regions, Type-I and Type II errors.
Nice to know
Historical perspectives. |
8
|
|
Module 3 |
- Types of Research Basic and applied research, Qualitative and Quantitative research (brief review of differences)
- Historical research
- Descriptive research methods – survey, case study, correlation study, content analysis, causal-comparative research
- Analytic studies- pre-experimental, experimental research, quasi experimental research
- Qualitative research, ethnography
- Evaluative research- general characteristics, use of qualitative methods in enquiry
|
Must Know
Different types of research, Descriptive research methods survey, case study, correlation study, Analytic studies- experimental research, Evaluative research.
Desirable to Know
Historical research, content analysis, causal-comparative research
Nice to Know
Ethnography |
6
|
| Module4 |
- Tools for Data Collection
- Primary and secondary methods of data collection
- Different types of questionnaires, rating scales, check lists, schedules, attitude scales, inventories, standardized tests, interviews, observation validity of tools.
- Procedure for preparation of the tool, administration of tools for data collection.
- Procedure for data collection specializations.
- Planning for data analysis-coding of responses.
- Construction of tools for data collection.
- types of questions
- Questionnaire.
- interview schedule
- observation scales
|
Must Know
Tools for data collection, Construction of tools for data collection-types of questions ,Questionnaire, interview schedule, Procedure for preparation of the tool, administration of tools for data collection
Procedure for data collection specializations,Planning for data analysis-coding of responses.
Desirable to Know
Different types of questionnaires, rating scales, inventories, standardized tests, interviews, observation validity of tools
Nice to Know
observation scales |
6
|
| Module6 |
- Sampling, Rationale, characteristics- meaning, concept of population and sample, and utility.
- Types of sampling. Probability sampling- simple random sample, systematic random sample, stratified random sampling etc.-random and non-random samples, random numbers and use
- Non-probability sampling-purposive samples, incidental samples, quota samples, snowball samples.
- General consideration in determination of sample size.
|
Must Know
Sampling type, procedures &general consideration in determination of sample size for the research in nutrition.
Desirable to Know
Concept of sample and population. Use of random numbers.
|
5
|
| Module7 |
- Data Management and Analysis
- Quantitative analysis, descriptive statistics, inferential statistics: Uses and limitations Summation sign and its properties
- Proportions, percentages, ratios
- Measures of central tendency-mean, median, mode arithmetic mean and its uses, mid – range, geometric mean, weighted mean, measures of dispersion /variability- range, variance, standard deviation, standard error, coefficient of variation, Kurtosis, Sleekness (practical aspects of grouped data-frequency distribution, histogram, frequency polygons, percentiles
- Data Management and Analysis, Frequency distributions, Measures of central tendency, measures of dispersion, variability).
|
Must Know
Data management and analysis for nutritional research interpretation, applying various statistical tests for results.
Desirable to Know
Various statistical measurements for research data management and analysis. |
5
|
