This table provides metadata for the actual indicator available from United States statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from American statistics, this table should be consulted for information on national methodology and other American-specific metadata information.
This table provides information on metadata for SDG indicators as defined by the UN Statistical Commission. Complete global metadata is provided by the UN Statistics Division.
Indicator |
Indicator 16.7.2: Proportion of population who believe decision-making is inclusive and responsive, by sex, age, disability and population group |
|||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Target |
Target 16.7: Ensure responsive, inclusive, participatory and representative decision-making at all levels |
|||||||||||||||||||||||||||||||||||
Organisation |
UNDP Oslo Governance Centre |
|||||||||||||||||||||||||||||||||||
Definition and concepts |
Definition: This survey-based indicator measures self-reported levels of ‘external political efficacy’, that is, the extent to which people think that politicians and/or political institutions will listen to, and act on, the opinions of ordinary citizens. To address both dimensions covered by this indicator, SDG indicator 16.7.2 uses two well-established survey questions, namely: 1) one question measuring the extent to which people feel they have a say in what the government does (focus on inclusive participation in decision-making) and 2) another question measuring the extent to which people feel the political system allows them to have an influence on politics (focus on responsive decision-making). All efforts should be made to disaggregate survey results on these two questions by sex, age group, income level, education level, place of residence (administrative region e.g. province, state, district; urban/rural), disability status, and nationally relevant population groups. A detailed questionnaire and implementation manual to produce the indicator is defined in the SDG 16 Survey Initiative[1] Concepts Decision-making: It is implicit in indicator 16.7.2 that ‘decision-making’ refers to decision-making in the public governance realm (and not all decision-making). Inclusive decision-making: Decision-making processes which provide people with an opportunity to ‘have a say’, that is, to voice their demands, opinions and/or preferences to decision-makers. Responsive decision-making: Decision-making processes where politicians and/or political institutions listen to and act on the stated demands, opinions and/or preferences of people. 1 The SDG 16 Survey Initiative jointly developed by UNDP, UNODC and OHCHR provides a high quality, well tested tool that countries can use to measure progress on many of the survey-based indicators under SDG16. It can support data production on peace, justice and inclusion (SDG 16). The methodology was welcomed by the 53rd United Nations Statistical Commission (E/2022/24-E/CN.3/2022/41). ↑ |
|||||||||||||||||||||||||||||||||||
Unit of measure |
Percent (%) |
|||||||||||||||||||||||||||||||||||
Data sources |
This indicator needs to be measured on the basis of data collected by National Statistical Offices (NSOs) through official household surveys. |
|||||||||||||||||||||||||||||||||||
Data providers |
National Statistical Offices |
|||||||||||||||||||||||||||||||||||
Comment and limitations |
Excludes measurement of ‘internal political efficacy’ As discussed in detail above, there are two dimensions to political efficacy. First, subjective competence, or ‘internal efficacy’, and second, system responsiveness, or ‘external efficacy’. This methodology stops short of measuring ‘internal political efficacy’ (also called ‘subjective competence’), which can be defined as the confidence or belief that an individual has in his or her own abilities to understand politics and to participate in the political process. Subjective competence is expected to be correlated with political interest (ESS, 2016). Higher levels of subjective competence are also expected to be associated with higher levels of political participation, including voting in elections. As such, policymakers interested in identifying factors driving high or low levels of political participation should not base their diagnostics solely on levels of external efficacy measured by SDG 16.7.2, as levels of internal efficacy (not measured by SDG 16.7.2) also come into play. Translation challenges The idiom ‘having a say’ can be difficult to translate into other languages, given it can also have various meanings in English (such as expressing one’s views, or being in command, among others). To ensure global comparability of results on this question, getting good quality local language translations is a critical step in the measurement of SDG 16.7.2. To ensure the best possible quality of local language translations, NSOs should be cautious not to use formal or ‘academically correct’ versions of the local languages; rather, they should focus on the everyday (colloquial) use of the language. To ensure equivalence of meaning during translation, the following protocol is recommended:
It is important to recognize that it takes time to go through these steps and get good quality translations. NSOs should start this process well ahead of the planned fieldwork dates so that the procedures can be carefully followed. Translation for the two questions is readily available in all languages used by the 29 European countries covered by the European Social Survey, as well as in Arabic, Catalan, Malay, Chinese/ Mandarin, Hausa, Igbo, Yoruba, Indonesian, Urdu, Bengali, Russian, Swahili and Kazakh languages. Social desirability bias Surveys are the most common and most reliable method of gathering public opinion data representative of the population from which the sample is drawn. However, when studying public opinion with surveys, the researcher assumes that respondents answer truthfully to the questions that interviewers pose. It has been shown that this assumption does not hold in many instances. Survey measures of self-reported voter turnout for example are highly biased in that a significant portion of survey respondents in the US have been found to state they have voted, when they have in fact not.[7] Similarly, social scientists have determined that many common survey items are plagued by such bias such as those that probe for an individual’s attitude towards race relations[8], corruption, and electoral support. ‘Social desirability bias’, as this is known in the literature, arises whenever survey respondents do not reveal their true beliefs but rather provide a response that they believe to be more socially acceptable, or the response that they believe the interviewers wish to hear. Naturally, this poses a threat to the reliability and validity of survey items. It is possible that the two questions used to measure SDG indicator 16.7.2 could be affected by social desirability bias. However, pilot-testing of the two questions across all regions and diverse national contexts, as well as statistical analysis of existing survey results on these two questions (using national datasets from the ESS), have not detected any systematic occurrence of social desirability bias. A useful way of detecting more positive results inflated by social desirability bias is to compare the results obtained by an NSO to results obtained by different entities (e.g. by independent researchers from the WVSA or the ESS), provided the time lag between the two data collection efforts is not too wide. It is useful also to keep in mind that high levels of ‘don’t know’ or ‘refuse to answer’ in a national dataset may be a possible sign that respondents do not feel comfortable revealing their true opinion on the questions posed. Normative framework for selection of disaggregation dimensions People’s perceived capacity to shape government decisions is affected by their personal characteristics and socio-economic background. As such, the indicator calls for disaggregation of survey results by age, sex, nationally relevant population groups and disability status. The following international human rights instruments contain provisions on enhancing opportunities for participation by individuals and groups holding such characteristics:
7 See Holbrook, A. L., & Krosnick, J. A. (2010). Social desirability bias in voter turnout reports tests using the item count technique. Public Opinion Quarterly, 74 (1), 37{67}. ↑ 8 See Kuklinski, J. H., Cobb, M. D., & Gilens, M. (1997). Racial attitudes and the new south. The Journal of Politics, 59 (02), 323{349}. ↑ 9 See https://www.un.org/development/desa/ageing/wp-content/uploads/sites/24/2018/03/Report-of-the-United-Kingdom-of-Great-Britain-and-Northern-Ireland-on-ageing-related-statistics-and-age-disaggregated-data.pdf ↑ |
|||||||||||||||||||||||||||||||||||
Method of computation |
For instance:
(70% + 54%) / 2 = 62% *Note: It is important for NSOs to clearly report, for each question, the number of respondents who selected “don’t know” (DK), “no answer” (NA) or “refuse to answer” (RA), and to exclude such respondents from the calculation of cumulative shares of positive responses. For instance, if 65 out of 1000 respondents responded either one of these three options on the first question, the cumulative share of positive responses on this first question will be calculated out of a total of 935 respondents, and the reporting sheet will indicate that for this particular question, x respondents responded DK, y responded NA, and z responded RA. Overall, global reporting on SDG 16.7.2 will require:
10 If this indicator is being calculated from an existing survey that uses a non-standard response scale, please contact UNDP at sdg16indicators@undp.org for guidance on identifying “positive” responses in non-standard response scales. ↑ |
|||||||||||||||||||||||||||||||||||
Metadata update |
2023-03-31 |
|||||||||||||||||||||||||||||||||||
International organisations(s) responsible for global monitoring |
UNDP Oslo Governance Centre |
|||||||||||||||||||||||||||||||||||
Related indicators |
SDG indicator 16.7.2 complements indicator 16.7.1 (under the same target 16.7 -- “Ensure responsive, inclusive, participatory and representative decision-making at all levels”) which draws on administrative data sources to measure the proportional representation of various population groups in public institutions. The two indicators are highly complementary as proportional representation alone is no guarantee that all population groups represented in public institutions have equal decision-making power, or that all population groups in the national population have equal opportunities to voice their interests and preferences and to influence public decision-making. Indicator 16.7.2 provides important additional information by focusing on the inclusiveness and responsiveness of decision-making, as perceived by the population (drawing from population surveys). Indicator 16.7.2 can also be used to complement SDG target 10.2 on the promotion of the “social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other status”, which only has one indicator measuring economic exclusion (SDG 10.2.1 – Proportion of people living below 50 per cent of median income, by age, sex and persons with disabilities). Indicator 16.7.2 therefore provides important additional information to measure progress against this target by providing data on political inclusion. Similarly, 16.7.2 can also be used to complement SDG target 10.3 on “Ensuring equal opportunity and reduce inequalities of outcome, including by eliminating discriminatory laws, policies and practices and promoting appropriate legislation, policies and action in this regard”, which only has one indicator measuring felt discrimination on various grounds (SDG 10.3.1 Proportion of the population reporting having personally felt discriminated against or harassed within the previous 12 months on the basis of a ground of discrimination prohibited under international human rights law). Indicator 16.7.2 therefore provides relevant additional information to measure progress against this target by helping to identify whether certain population groups might feel discriminated against in terms of their inclusion in public decision-making and the extent to which political institutions are responsive to their demands/preferences. |
|||||||||||||||||||||||||||||||||||
UN designated tier |
3 |