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One-way MANOVA and the Russia Longitudinal Monitoring Survey (2012): Home Value, Home Size, and Central Heating in Russia

Dataset
By: The Odum Institute Published: 2015 | Product: SAGE Research Methods Datasets
Data Type: Survey
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Abstract

This dataset example introduces readers to one-way multivariate analysis of variance (MANOVA) (sometimes called multiple analysis of variance). This technique allows researchers to compare the means of two or more continuous (and possibly correlated) variables across two or more subsets of the data. Those subsets are generally defined by categories from a categorical variable in the dataset. This example uses a subset of data from the 2012 Household survey from the Russia Longitudinal Monitoring Survey project. It presents an analysis of whether the size of a family’s home and the value of that home both differ based on whether or not the home has central heating. Understanding how features of homes impact their average size and value is important for making policy decisions about housing.

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About This Dataset
Data Source Citation

“Russia Longitudinal Monitoring survey, RLMS-HSE”, conducted by the National Research University Higher School of Economics and ZAO “Demoscope” together with Carolina Population Center, University of North Carolina at Chapel Hill and the Institute of Sociology RAS. (RLMS-HSE sites: http://www.cpc.unc.edu/projects/rlms-hse, http://www.hse.ru/org/hse/rlms)

Full title of originating dataset

Russia Longitudinal Monitoring Survey – Higher School of Economics (RLMS-HSE), Household Survey 2012

Data author(s) and affiliations

Carolina Population Center, University of North Carolina at Chapel Hill

ZAO Demoscope

Higher School of Economics, National Research University

The Institute of Sociology, Russian Academy of Sciences

Dataset source website address

http://www.cpc.unc.edu/projects/rlms-hse

Data Universe

Households in Russia

Funding sources/suppliers

Higher School of Economics, National Research University

National Institutes of Health

Sample/sampling procedures

A multi-stage probability sample was employed.

Data collection dates

2012

Time frame of analysis

2012

Unit of analysis

Household

Location covered by data

Russia

Links to SRM content
  • Iversen, G. (2004). Multivariate Analysis of Variance and Covariance (MANOVA and MANCOVA). In M.S. Lewis-Beck, A. Bryman, & T. Futing Liao (Eds.), The SAGE Encyclopedia of Social Science Research Methods. (pp. 703–704). Thousand Oaks, CA: Sage Publications, Inc. doi: http://dx.doi.org/10.4135/9781412950589.n608
  • Kraska, M. (2010). Multivariate Analysis of Variance (MANOVA). In N.J. Salkind (Ed.), Encyclopedia of Research Design. (pp. 858–863). Thousand Oaks, CA: SAGE Publications, Inc. doi: http://dx.doi.org/10.4135/9781412961288.n257
  • Bray, J.H. – Scott E. Maxwell, S.E. (1985). Multivariate Analysis of Variance. Newbury Park, CA: SAGE Publications, Inc. doi: http://dx.doi.org/10.4135/9781412985222
List of variables

hunfmemo

OLD FAMILY–NUMBER IN

HOUSEHOLD–B.1

humvalue

HOUSING–MARKET VALUE–C.1.1

huhfsp

HOUSING–FLOOR SPACE (SQ M)–C.6

huhlsp

HOUSING–LIVING SPACE (SQ M)–C.5

huhcheat

HOUSING–CENTRAL HEATING?–C.7.1

huabrdwi

BREAD, WHITE–AMT BOUGHT (KG)–7D–E.1.1

hucbrdwi

BREAD, WHITE–COST–7D–E.1.1

huvpay

PAY–VALUE–30D–F.11

huohspic

HIGH–SPEED INTERNET CONNECTION–QC9.624A

huincome

MONETARY INCOME 30 DAYS–QF14

Abbreviations, conventions or notation devices

Two variables, huhcheat and huohspic, have been recoded from the original data source from 1 = Yes and 2 = No to 1 = Yes and 0 = No

Methods Map
Multiple analysis of variance