ger detailed

Upload: moroianu-sorin

Post on 04-Jun-2018

220 views

Category:

Documents


0 download

TRANSCRIPT

  • 8/13/2019 GER Detailed

    1/8

    THE BUCHAREST ACADEMY OF

    ECONOMIC STUDIES

    FACULTY OF INTERNATIONAL

    BUSINESS AND ECONOMICS

    MASTER IN INTERNATIONAL COMMUNICATION

    QUANTITATIVE

    RESEARCH METHODSFINAL PAPERWhat is the Gross

    Enrollment Ratio in

    EU Member

    Countries?

    Moroianu Sorin

    Bucharest

    2014

  • 8/13/2019 GER Detailed

    2/8

    1. The Research Question

    The purpose of my analysis falls into the category of descriptive research. The objective of

    my research was to accurately describe the development of the educational system in the

    European countries.

    Gross enrollment rate is the total enrollment in primary school, regardless of age, in a given

    year, expressed as a percentage of the official school-age population for primary school.

    The purpose of the gross enrollment rate is that it shows the general level of participation

    in formal schooling by the childhood population. A gross enrollment rate value of 100 percent

    indicates that a country is, in principle, able to accommodate all of its school-aged population.

    GER can be used instead of the net enrolment ratio (NER) when data on enrolment by

    single years of age are not available and it can also be used together with the NER to measure the

    extent of over-aged and under-aged enrolment.

    2. Relevant literary review

    The Millenium Development Goals are eightinternational developmentgoals that were

    established following theMillennium Summit of theUnited Nations in 2000, following the

    adoption of theUnited Nations Millennium Declaration.

    The second goal in the United Nations Development Goal is to achieve Universal Primary

    Education, more specifically, to ensure that by 2015, children everywhere, boys and girls alike

    will be able to complete a full course ofprimary schooling." Currently, there are more than 75

    million children around the world of primary school age who are not in school. The majority of

    these children are in regions ofsub-Saharan Africa andSouth Asia and within these countries,

    girls are at the greatest disadvantage in receiving access to education at the primary school age.

    Since the Millennium Development Goals were launched, many developing countries, such

    http://en.wikipedia.org/wiki/International_developmenthttp://en.wikipedia.org/wiki/Goalhttp://en.wikipedia.org/wiki/Millennium_Summithttp://en.wikipedia.org/wiki/United_Nationshttp://en.wikipedia.org/wiki/United_Nations_Millennium_Declarationhttp://en.wikipedia.org/wiki/Primary_educationhttp://en.wikipedia.org/wiki/Sub-Saharan_Africahttp://en.wikipedia.org/wiki/South_Asiahttp://en.wikipedia.org/wiki/South_Asiahttp://en.wikipedia.org/wiki/Sub-Saharan_Africahttp://en.wikipedia.org/wiki/Primary_educationhttp://en.wikipedia.org/wiki/United_Nations_Millennium_Declarationhttp://en.wikipedia.org/wiki/United_Nationshttp://en.wikipedia.org/wiki/Millennium_Summithttp://en.wikipedia.org/wiki/Goalhttp://en.wikipedia.org/wiki/International_development
  • 8/13/2019 GER Detailed

    3/8

    asChina,Chile,Cuba,Singapore andSri Lanka, have successfully completed a campaign

    towards universal primary education.

    A great factor that contributes to a childs lack of access and attendance toprimary education

    is location. In certain areas of the world it is more difficult for children to get to school. Forexample; in high-altitude areas of India, severe weather conditions for more than 7 months of the

    year make school attendance erratic and force children to remain at home

    In these remote locations, insufficient school funds contribute to low attendance rates by

    creating undesirable and unsafe learning environments.

    3. Explanation of the selection of variables and dataObviously the selection of the Gross Enrollment Ratio as a variable in my analysis is directly

    related to the research question.

    GER shows the overall coverage of an educational system in relation to the population eligible

    for participation in the system. This ratio is useful for those who are interested in the overall

    participation of the school-age population, including both primary and secondary levels .

    GER can also be used for comparing two or more countries and urban and rural areas.

    3.1. How to calculate GERFor example, if a nation has 900,000 people enrolled in school in the academic year 2005/06,

    this number is divided by the total number of school-age individuals. Suppose this number is

    1,000,000. This means 90 percent of the people are enrolled; or that 90 percent is the Gross

    Enrollment Ratio of that nation.

    http://en.wikipedia.org/wiki/Chinahttp://en.wikipedia.org/wiki/Chilehttp://en.wikipedia.org/wiki/Cubahttp://en.wikipedia.org/wiki/Singaporehttp://en.wikipedia.org/wiki/Sri_Lankahttp://en.wikipedia.org/wiki/Primary_educationhttp://en.wikipedia.org/wiki/Primary_educationhttp://en.wikipedia.org/wiki/Sri_Lankahttp://en.wikipedia.org/wiki/Singaporehttp://en.wikipedia.org/wiki/Cubahttp://en.wikipedia.org/wiki/Chilehttp://en.wikipedia.org/wiki/China
  • 8/13/2019 GER Detailed

    4/8

    GER = number of actual students enrolled / number of potential students enrolled

    =

    =

    A combined gross enrollment ratio (CGER), incorporating all three levels of education, is used to

    calculate theHuman Development Index (HDI),an annualgauge of well-beingforUNmember

    states.Amongst other measures used in the calculation, the CGER is given one-third weight in

    assessing theknowledgecomponent, represented by gross enrollment, while the

    adultliteracyrate is assigned two-thirds weight.

    http://en.wikipedia.org/wiki/Human_Development_Indexhttp://en.wikipedia.org/wiki/Human_Development_Indexhttp://en.wikipedia.org/wiki/Human_Development_Indexhttp://en.wikipedia.org/wiki/Measuring_well-beinghttp://en.wikipedia.org/wiki/Measuring_well-beinghttp://en.wikipedia.org/wiki/Measuring_well-beinghttp://en.wikipedia.org/wiki/United_Nationshttp://en.wikipedia.org/wiki/United_Nationshttp://en.wikipedia.org/wiki/United_Nations_member_stateshttp://en.wikipedia.org/wiki/United_Nations_member_stateshttp://en.wikipedia.org/wiki/United_Nations_member_stateshttp://en.wikipedia.org/wiki/United_Nations_member_stateshttp://en.wikipedia.org/wiki/Knowledgehttp://en.wikipedia.org/wiki/Knowledgehttp://en.wikipedia.org/wiki/Knowledgehttp://en.wikipedia.org/wiki/Literacyhttp://en.wikipedia.org/wiki/Literacyhttp://en.wikipedia.org/wiki/Literacyhttp://en.wikipedia.org/wiki/Literacyhttp://en.wikipedia.org/wiki/Knowledgehttp://en.wikipedia.org/wiki/United_Nations_member_stateshttp://en.wikipedia.org/wiki/United_Nations_member_stateshttp://en.wikipedia.org/wiki/United_Nationshttp://en.wikipedia.org/wiki/Measuring_well-beinghttp://en.wikipedia.org/wiki/Human_Development_Index
  • 8/13/2019 GER Detailed

    5/8

    4. Summarized Sample Data using descriptive statistic measures.By applying the Descriptive Statistics feature from Excels Data Analysis Add-in feature on my

    GER, I have obtained the following results:

    GER

    Mean 105.8953612

    Standard Error 1.894879258

    Median 105.1765914

    Mode #N/A

    Standard Deviation 7.579517033

    Sample Variance 57.44907845

    Kurtosis 4.969407011

    Skewness 1.930754788

    Range 31.13358848

    Minimum 97.56938228

    Maximum 128.7029708

    Sum 1694.325779

    Count 16

    Confidence

    Level(95.0%) 4.038839534

    margin of error 3.713963346

    upper limit 109.6093245

    lower limit 102.1813978

    c.of Var 0.071575534

    Regarding the measure of the central tendency, the value of the median indicates that

    50% of the GER values are above 105. This indicates that more than a half of the European

    countries are theoretically able of accommodating its school-aged population.

  • 8/13/2019 GER Detailed

    6/8

    Moving on to the measures of variability, we can observe that the range( indicator of

    dispersion, higher score=higher deviations) is 31.1 which means that the difference between the

    highest and the lowest value is 31.1

    The measure for dispersion of variability, the variance is around 57.4, while the standard

    deviation, another measure of dispersion is square root of variance, 7.57.

    In order to find the relative dispersion we can calculate the coefficient of variation

    using the following formula:

    Coefficient of variation =

    = 0.07

    In order to observe shape of the distribution, I have used a histogram that is allowing us

    to observe that the data is not normally distributed

    Bin Frequency

    97.56938 1

    105.3528 7

    113.1362 6

    120.9196 1

    More 1

    This conclusion can also be reached by examining the values of the mean, median and

    mode. Since these values are not equal, the shape of the distribution is not normal.

    02468

    Frequency

    Bin

    Histogram

    Frequency

  • 8/13/2019 GER Detailed

    7/8

    The shape of the histograms distribution is not normal due to the fact that kurtosis(which

    shows peakness or flatness of distribution) and skewness(symmetry of distribution) are not close

    to 0 but they are both positive so the shape is Right Tail Extremes.

    5. Population mean variable with 95%Through the use of the Excel Data Analysis Tool, the confidence level has been identified

    as 3.713963346, so the confidence interval will be:

    - 3.713963346+ 3.713963346

    That means that belongs to the following interval [102.1813978, 109.6093245]

    I am 95% confident that the mean belongs to the previously mentioned interval.

    6. Scatter Diagram

    0

    20

    40

    60

    80

    100

    120

    140

    0 1,000 2,000 3,000 4,000 5,000 6,000

    Correlation between GER and Enrollment

    GER

    (Y)

    Enrollment(X)

  • 8/13/2019 GER Detailed

    8/8

    7. Covariance and Correlation

    Correlation Enrollment GER

    Enrollment 1

    GER 0.529017 1

    Covariance Enrollment GER

    Enrollment 2427851

    GER 6049.333 53.85851105

    The value of the sample covariance is 6049.333. Due to the fact that it is a positive

    number, both x and y tend to move in the same direction.

    The coefficient of correlation is 0.529017. This value is closer to 1 and that means that

    there is a strong linear relationship between the two variables. The relationship appears strong

    due to the fact that the value of the coefficient exceeds 0.5

    Interpretation: Countries with high primary school enrollment population also tend to

    have a high Gross Enrollment Ratio

    Bibliography:

    http://www.unfoundation.org/what-we-do/issues/mdgs.html

    http://en.wikipedia.org/wiki/Universal_Primary_Education

    http://www.unsiap.or.jp/ematerial/ematerial_other/PCD_M2_fiji/PCD_M2_4_P2.pdf

    http://www.amstat.org/publications/jse/v19n2/doane.pdf

    http://www.unfoundation.org/what-we-do/issues/mdgs.htmlhttp://www.unfoundation.org/what-we-do/issues/mdgs.htmlhttp://en.wikipedia.org/wiki/Universal_Primary_Educationhttp://en.wikipedia.org/wiki/Universal_Primary_Educationhttp://www.unsiap.or.jp/ematerial/ematerial_other/PCD_M2_fiji/PCD_M2_4_P2.pdfhttp://www.unsiap.or.jp/ematerial/ematerial_other/PCD_M2_fiji/PCD_M2_4_P2.pdfhttp://www.unsiap.or.jp/ematerial/ematerial_other/PCD_M2_fiji/PCD_M2_4_P2.pdfhttp://en.wikipedia.org/wiki/Universal_Primary_Educationhttp://www.unfoundation.org/what-we-do/issues/mdgs.html