Libri sul tema "Educational statistics – data processing"

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1

Stemmer, Paul M. Microcomputer programs for educational statistics: A review of popular programs. Princeton, N.J: ERIC Clearinghouse on Tests, Measurements, and Evaluation, Educational Testing Service, 1986.

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2

National Forum on Education Statistics (U.S.). National Education Statistics Agenda Committee. Improving the capacity of the national education data system to address equity issues: An addendum to A guide to improving the national education data system. Washington, DC: The Center, 1995.

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3

Fundação Centro Brasileiro de TV Educativa., a cura di. Um Relato do estado atual de informática no ensino no Brasil. [Rio de Janeiro]: Ministério da Educação e Cultura, Fundação Centro Brasileiro de TV Educativa, 1985.

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4

Holcomb, Edie L. Data-based decision making. 3a ed. Bloomington, IN: Solution Tree PRess, 2012.

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5

Abbott, Martin L. Understanding educational statistics using Microsoft Excel® and SPSS®. Hoboken, N.J: Wiley, 2011.

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6

Sheila, Heaviside, Educational Resources Information Center (U.S.) e National Center for Education Statistics., a cura di. Advanced telecommunications in U.S. public elementary and secondary schools, 1995: Fast Response Survey System. [Washington, DC]: U.S. Dept. of Education, Office of Educational Research and Improvement, Educational Resources Information Center, 1996.

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7

Yi, Chong-sŏng. Kyoyuk yŏnʾgu ŭi sŏlgye wa charyo punsŏk. 8a ed. Sŏul Tʻŭkpyŏlsi: Kyohak Yŏnʾgusa, 1996.

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8

Logunova, Oksana, Petr Romanov e Elena Il'ina. Processing of experimental data on a computer. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064882.

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Abstract (sommario):
The textbook provides information about the main methods and tools for automating computational processes used in data processing; methods for representing and generating models of experimental data; data models and classification of processing tasks; and the organization of the user interface in automated systems for processing experimental data. Contains structured chapters on the specifics of experimental research. The features of using software for processing experimental data are clearly and logically described. Theoretical material and basic algorithms for processing experimental data used in industrial statistics are presented. Examples of processing experimental data in the field of metallurgy and management in higher education are given. Meets the requirements of the Federal state educational standards of higher education of the latest generation. For students and postgraduates of higher educational institutions.
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9

National Center for Education Statistics. e Educational Resources Information Center (U.S.), a cura di. Evaluation of the 1996-97 nonfiscal common core of data surveys data collection, processing, and editing cycle. [Washington, DC]: U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 1999.

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10

National Center for Education Statistics, a cura di. Integrated postsecondary education data system: Guide to surveys. [Washington, D.C.?]: U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 1992.

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11

M, O'Brien Eileen, Wodatch Jessica K, National Center for Education Statistics. e Educational Resources Information Center (U.S.), a cura di. Measuring school reform: Recommendations for future SASS data collection. [Washington, DC]: U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 1997.

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12

Folkeskoleafdelingen, Denmark, a cura di. Edb-udstyrsundersøgelse i folkeskolen 1992. København: Folkeskoleafdelingen, 1993.

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13

Office, Great Britain Welsh, a cura di. A Survey of microcomputers in schools (1988) =: Arolwg microgyfrifiaduron mewn ysgolion (1988). [London]: Government Statistical Service, 1990.

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14

Frankel, Martin M. Integrated Postsecondary Education Data System glossary. Washington, D.C: Center for Education Statistics, Office of Educational Research and Improvement, U.S. Dept. of Education, 1987.

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15

Lukesh, Susan S. Microcomputer use in higher education: Full report of a survey. [New York]: Peat Marwick, 1987.

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16

Statistics, National Center for Education. IPEDS: Integrated Postsecondary Education Data System : less than two-year institutions. [Washington, D.C.?: National Center for Education Statistics, 1986.

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17

Statistics, National Center for Education. IPEDS: Integrated Postsecondary Education Data System : four- and two-year institutions. [Washington, D.C.?: National Center for Education Statistics, 1986.

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18

Statistics, National Center for Education. IPEDS: Integrated Postsecondary Education Data System : less than two-year institutions. [Washington, D.C.?: National Center for Education Statistics, 1986.

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19

National Center for Education Statistics. IPEDS: Integrated Postsecondary Education Data System : less than two-year institutions. [Washington, D.C.?: National Center for Education Statistics, 1986.

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20

National Center for Education Statistics. IPEDS: Integrated Postsecondary Education Data System : four- and two-year institutions. [Washington, D.C.?: National Center for Education Statistics, 1986.

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21

National Center for Education Statistics. IPEDS: Integrated Postsecondary Education Data System : four- and two-year institutions. [Washington, D.C.?: National Center for Education Statistics, 1986.

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22

Associates, Expand. IPEDS training workshop: Simulation exercises : four year institutions, student. [Washington, D.C.?]: Center for Statistics, U.S. Department of Education, 1986.

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23

Associates, Expand. IPEDS training workshop: Simulation exercises : less than two year institutions. Washington, D.C.?]: Center for Statistics, U.S. Department of Education, 1986.

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24

Statistics, National Center for Education. IPEDS: Integrated Postsecondary Education Data System : less than two-year institutions, forms . [Washington, D.C.?: National Center for Education Statistics, 1986.

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25

National Center for Education Statistics. IPEDS: Integrated Postsecondary Education Data System : less than two-year institutions, forms. [Washington, D.C.?: National Center for Education Statistics, 1986.

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26

National Center for Education Statistics. IPEDS: Integrated Postsecondary Education Data System : four-and two-year institutions, forms. [Washington, D.C.?: National Center for Education Statistics, 1986.

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27

National Center for Education Statistics. IPEDS: Integrated Postsecondary Education Data System : four-and two-year institutions, forms. [Washington, D.C.?: National Center for Education Statistics, 1986.

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28

National Center for Education Statistics. IPEDS: Integrated Postsecondary Education Data System : less than two-year institutions, forms . [Washington, D.C.?: National Center for Education Statistics, 1986.

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29

National Center for Education Statistics. IPEDS: Integrated Postsecondary Education Data System : four-and two-year institutions, forms. [Washington, D.C.?: National Center for Education Statistics, 1986.

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30

National Forum on Education Statistics (U.S.). Prior-to-secondary school course classification system: School codes for the exchange of data (SCED). Washington, DC: U.S. Dept. of Education, National Center for Education Statistics, 2011.

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31

Yi, Sŏk-chun. Kukka kyoyuk, inchŏk chawŏn tʻonggye sŏbisŭ kaesŏn pangan yŏnʼgu. Sŏul-si: Hanʼguk Kyoyuk Kaebarwŏn, 2007.

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32

Yi, Sŏk-chun. Kukka kyoyuk, inchŏk chawŏn tʻonggye sŏbisŭ kaesŏn pangan yŏnʼgu. Sŏul-si: Hanʼguk Kyoyuk Kaebarwŏn, 2007.

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33

Nancy, Love, National Staff Development Council (U.S.) e Technical Education Research Centers (U.S.), a cura di. Using data to improve learning for all: A collaborative inquiry approach. Thousand Oaks, CA: Corwin Press, 2009.

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34

Mello, Victor Bandeira de. Mapping state proficiency standards onto NAEP scales, 2005-2007. Washington, D.C: National Center for Education Statistics, Institute of Education Sciences, U.S. Dept. of Education, 2009.

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35

Phillips, Gary W. Interpreting NAEP scales. Washington D.C.?]: U.S. Department of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 1993.

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36

W, Phillips Gary, e National Center for Education Statistics., a cura di. Interpreting NAEP scales. [Washington D.C.?]: U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 1993.

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37

Mello, Victor Bandeira de. Mapping state proficiency standards onto the NAEP scales: Variation and change in state standards for reading and mathematics, 2005-2009. Washington, DC: U.S. Dept. of Education, Institute of Education Sciences, National Center for Education Statistics, 2011.

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38

Davidson, Fred. Principles of statistical data handling. Thousand Oaks, Calif: Sage Publications, 1996.

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39

Thomas, Charles R. Administrative information systems: The 1985 profile and five-year trends. Boulder, Colo. (737-29th St., Boulder 80303): CAUSE Publications, 1986.

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40

Hunt, E. Stephen. A Guide to the international interpretation of U.S. education program data: CIP, IPEDS, CCD, and ISCED. [Washington, D.C.]: U.S. Dept. of Education, Office of Research, 1993.

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41

Hunt, E. Stephen. A guide to the international interpretation of U.S. education program data: CIP, IPEDS, CCD, and ISCED. [Washington, D.C.]: U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics, Office of Research, 1996.

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42

Inc, Quality Education Data. Internet usage in public schools 1998. 3a ed. Denver, Colo: Quality Education Data, 1998.

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43

National Center for Education Statistics, a cura di. National Data Resource Center: Established by the U.S. Department of Education's National Center for Education Statistics (NCES) to provide free data analysis on the data sets it maintains. [Washington, DC] (555 New Jersey Ave., NW, Washington 20208-5652): The Center, 1994.

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44

Spurrier, John D. Elementary statistics laboratory manual: MS-DOS version. Belmont: Duxbury Press, 1995.

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45

Broyles, Susan G. Integrated Postsecondary Education Data System glossary. [Washington, D.C.]: National Center for Education Statistics, U.S. Dept. of Education, Office of Educational Research and Improvement, 1992.

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46

Barthes, Angela, e Michel Larini. Quantitative and Statistical Data in Education: From Data Collection to Data Processing. Wiley & Sons, Incorporated, John, 2018.

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47

Barthes, Angela, e Michel Larini. Quantitative and Statistical Data in Education: From Data Collection to Data Processing. Wiley & Sons, Incorporated, John, 2018.

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48

Barthes, Angela, e Michel Larini. Quantitative and Statistical Data in Education: From Data Collection to Data Processing. Wiley & Sons, Incorporated, John, 2018.

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49

Barthes, Angela, e Michel Larini. Quantitative and Statistical Data in Education: From Data Collection to Data Processing. Wiley & Sons, Incorporated, John, 2018.

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50

Statistics of Education (National Statistics Bulletin). Stationery Office Books, 2001.

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