ISER-N announces a short-term training on "Survey Data Analysis" from May 22-26, 2017.


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Trainings and Workshops

ISER-N regularly organizes short-term trainings and workshops on the state-of-the-art research methods and techniques on social and environmental sciences with the goal of enhancing and updating the knowledge and skills in order to nurture and build social and environmental scientific research capacity in the region.

Below we provide a brief description of the courses offered at the institute.

Introduction to Survey Data Analysis
Duration: 40 hours (5 days)
Pre-requisite: A minimum of Masters Degree with background of basic statistics.
Background in social science research will be an asset.

Course Description
This course focuses on various techniques commonly used for the analysis of survey data. First, this course will focus on data structure, data importation and data management. Then, under data analysis techniques, we will include univariate (data description and summarization), bi-variate (mean comparisons, chi-square and correlation), and multivariate (linear and binary logistic regression) analysis techniques. Emphasis will be given to choosing appropriate statistical tools for data analysis and interpretation of the results. SPSS, statistical software to analyze social science data, will be extensively used. More importantly, this workshop will focus on practical issues associated with choosing appropriate statistical tools, analysis of data, and interpretation of the results with reference to scientific articles published in highly referred sociological and population journals around the globe.

Training Participants

Introduction to Survey Research Techniques
Duration: 40 hours (5 days)
Pre-requisite: Minimum requirement of Baccalaureate Degree. Background in social science research will be an asset.

Course Description
This course focuses on the theory and practice of survey research methods and techniques. In general, the training will cover the following topics �" research process, social research methods, survey research designs, survey lifecycle, survey errors, cost/quality trade-off, formulation of research question and hypothesis, conceptualization and measurement, sampling, questionnaire design and evaluation, techniques of interviewing, data processing, data preparation, coding, cleaning and management of data, analysis and publication of research findings and research ethics. Emphasis will be given to hands-on experience in understanding and conducting each phase of survey lifecycle.

Research Methods
Duration: 40 hours (5 days)

Course Description
The purpose of this course is to provide an overview of different research methods commonly used in social and environmental research. Broad topics include: (a) Archival Research; (b) Ethnographic Research; (c) Survey Research; and (d) Environmental/Spatial Research. Under each method, specific topics include: social science as science; theory and research; question formulation and research design; measurement issues; methods and techniques of data collection, instrument design, data analysis, and report writing. Ethics in social research will also be discussed.

Research Instrument Design/Questionnaire Design
Duration: 40 hours (5 days)

Course Description
The goal of this course is to provide theoretical background and practical understanding of designing survey questions and questionnaires used in social research. The topics include: general principles of writing questions; techniques for measuring the occurrence of past behaviors and events; the effects of question wording, response formats, and question sequence on responses; an introduction to psychometric perspectives in multi-item scale design; combining individual questions into a meaningful questionnaire; mode selection and questionnaire design; and strategies for obtaining sensitive or personal information. This course will also focus on pre-testing and steps in questionnaire finalization.

Methods of (Survey) Data Collection
Duration: 40 hours (5 days)

Course Description
The purpose of this course is to provide an overview of alternative data collection methods used in surveys. First, this course will focus on introducing various data collection techniques, particularly face-to-face, telephone, and mail surveys, commonly used in survey research. Second, it will concentrate on the comparative impact of these techniques may have on survey data quality (including measurement error properties, non-response, and coverage errors). Third, this course will provide an overview of mixed-mode survey data collection and its implication on data quality. Fourth, this course will also provide a brief overview of environmental (flora data, land use, and geo-spatial) data collection techniques.

General Interviewing Techniques (GIT)
Duration: 40 hours (5 days)

Course Description
This course is designed to provide theoretical context and practical experience for standardized interviewing--how interviewers contribute to bias and variance in survey estimates and techniques for reducing such error.  This follows the focus on the General Interviewing Techniques (GIT).  The purpose of GIT is to standardize the data collection process in several areas relating to respondent interaction and survey implementation including: contacting households, introducing the study to respondents, building rapport and gaining cooperation, asking questions, providing clarification, probing responses, giving feedback, and recording responses.  The final two days of training cover interviewer management issues, such as interviewer hiring, training, and certification as well as production monitoring and quality control.

Other Courses
Survey Sampling
Multi-level Modeling
Structural Equation Modeling
Event History Analysis
Mixed Method Data Collection

© Institute for Social and Environmental Research-Nepal, Fulbari, Chitwan

P.O.Box 57, Bharatpur, Chitwan, Nepal  |