Syllabus | RESEARCH METHODS AND STATISTICS I (THEORY) | M.Sc. Nutrition & Dietetics | First Semester

SEMESTER-I
PAPER I- RESEARCH METHODS AND STATISTICS I (THEORY)

Total-40 hrs

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

References

  • Bell, J. (1997): Doing Your Research Project: A Guide for First-time Researchers in
  • Education and Social Science, Viva Books, New Delhi
  • Bulmer, M.C. (1984): Sociological Research Methods: An Introduction, Macmillan,
  • Hong Kong.
  • Festinger, L. and Katz, D. (ed.) (1977): Research Methods in the Behavioral Sciencess,
  • Amerind Publishing, New Delhi.
  • Holloway, I. (1997): Basic Concepts of Qualitiative Research, Blackwell Science, London.
  • Jain, G. (1998): Research Methodology: Methods and Techniques, Mangal Deep,Jaipur.
  • Kothari, C.R. (2000): Research Methodology: Methods and Techniques, Wishwa
  • Prakashan, New Delhi.
  • Kumar, A. (1997): Social Research Method (The Art of Scientific Investigation),
  • Anmol Publication, New Delhi.
  • Kumar, A. (2002): Research Methodology in Social Sciences, Sarup and Sons, New Delhi.
  • McBurney, D.H. (2001): Research Methodology, Thomson-Wadsworth, Australia.

Statistics
1. Gupta, S. (2001) “Research Methodology and Statistical Techniques”,Deep and Deep, New Delhi,
2. Hooda, R.P. (2003) “Statistics for Business and Economics”, 3rd ed., Macmillan IndiaLtd., Delhi,

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