The Means Procedure
WHILE THE Crosstabs procedure allows you to identify the frequency of certain types of categorical data (Chapter 8), the Means command allows you to explore certain characteristics of continuous variables within those categories. By way of comparison, a crosstabulation of ethnic by gender would indi...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buchkapitel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 152 |
---|---|
container_issue | |
container_start_page | 146 |
container_title | |
container_volume | |
creator | George, Darren Mallery, Paul |
description | WHILE THE Crosstabs procedure allows you to identify the frequency of certain
types of categorical data (Chapter 8), the Means command allows you to explore certain characteristics of continuous variables within those categories. By way of comparison, a crosstabulation of ethnic by gender would indicate that there were 13 White
females, 22 White males, 8 Hispanic females, 6 Hispanic males, and so forth. The
Means command allows you to view certain characteristics of continuous variables
(such as total points, GPAs, percents) by groups. Thus if you computed total (number of points) for ethnic by gender, you would find that there were 13 White females
who scored an average (mean) of 113.12 points, 22 White males who scored a mean
of 115.34 points, 8 Hispanic females who scored a mean of 116.79, 6 Hispanic males
with a mean of 113.45, and so forth. This information is, of course, presented in tabular
format for ease of reading and interpretation. The utility of the Means command for
data such as our sample file is several-fold. For a class with more than one section, we
might like to see mean scores for each section, or to compare the scores of males with
females, or the performance of upper-with lower-division students. |
doi_str_mv | 10.4324/9781315545899-15 |
format | Book Chapter |
fullrecord | <record><control><sourceid>proquest_infor</sourceid><recordid>TN_cdi_proquest_ebookcentralchapters_4455907_90_202</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC4455907_90_202</sourcerecordid><originalsourceid>FETCH-LOGICAL-i1092-56aadde56198108324088a6d0155159feaf80819053f207cb826af6e2ea7329e3</originalsourceid><addsrcrecordid>eNpVkMtOwzAQRY0QiKp0xYZlfyAw40diL1EFFKkIFmVtuclYDYS42CmIv69L2XQ1msc9unMZu0a4kYLLW1NpFKiUVNqYAtUJmxyNTv96QJGvgSs4ZyOTF5XkCi_YJKV3AMBSSFPBiF0t1zR9Jten6WsMNTXbSJfszLsu0eS_jtnbw_1yNi8WL49Ps7tF0SIYXqjSuaYhVaLRCDp7A61d2UB2gsp4cl6DRgNKeA5VvdK8dL4kTq4S3JAYM3HgbmL42lIaLK1C-KipH6Lr6rXbDBSTlVIpA5U1YPNDWTU_qNreh_jpfkLsGju43y5EH11ft2lPSRbB7gOzR-lYVPY7U9vQc7EDvgBb3g</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype><pqid>EBC4455907_90_202</pqid></control><display><type>book_chapter</type><title>The Means Procedure</title><source>eBooks on EBSCOhost</source><creator>George, Darren ; Mallery, Paul</creator><creatorcontrib>George, Darren ; Mallery, Paul</creatorcontrib><description>WHILE THE Crosstabs procedure allows you to identify the frequency of certain
types of categorical data (Chapter 8), the Means command allows you to explore certain characteristics of continuous variables within those categories. By way of comparison, a crosstabulation of ethnic by gender would indicate that there were 13 White
females, 22 White males, 8 Hispanic females, 6 Hispanic males, and so forth. The
Means command allows you to view certain characteristics of continuous variables
(such as total points, GPAs, percents) by groups. Thus if you computed total (number of points) for ethnic by gender, you would find that there were 13 White females
who scored an average (mean) of 113.12 points, 22 White males who scored a mean
of 115.34 points, 8 Hispanic females who scored a mean of 116.79, 6 Hispanic males
with a mean of 113.45, and so forth. This information is, of course, presented in tabular
format for ease of reading and interpretation. The utility of the Means command for
data such as our sample file is several-fold. For a class with more than one section, we
might like to see mean scores for each section, or to compare the scores of males with
females, or the performance of upper-with lower-division students.</description><identifier>ISBN: 9780134320250</identifier><identifier>ISBN: 1138681342</identifier><identifier>ISBN: 9781138681347</identifier><identifier>ISBN: 0134320255</identifier><identifier>EISBN: 9781315545899</identifier><identifier>EISBN: 9781134793334</identifier><identifier>EISBN: 1315545896</identifier><identifier>EISBN: 1134793332</identifier><identifier>EISBN: 1134793405</identifier><identifier>EISBN: 9781134793402</identifier><identifier>DOI: 10.4324/9781315545899-15</identifier><identifier>OCLC: 945874251</identifier><identifier>LCCallNum: HA32.G458 2017</identifier><language>eng</language><publisher>United Kingdom: Routledge</publisher><subject>Psychological methodology</subject><ispartof>IBM SPSS Statistics 23 Step by Step, 2016, p.146-152</ispartof><rights>2016 Taylor & Francis</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/4455907-l.jpg</thumbnail><link.rule.ids>779,780,784,793,27925</link.rule.ids></links><search><creatorcontrib>George, Darren</creatorcontrib><creatorcontrib>Mallery, Paul</creatorcontrib><title>The Means Procedure</title><title>IBM SPSS Statistics 23 Step by Step</title><description>WHILE THE Crosstabs procedure allows you to identify the frequency of certain
types of categorical data (Chapter 8), the Means command allows you to explore certain characteristics of continuous variables within those categories. By way of comparison, a crosstabulation of ethnic by gender would indicate that there were 13 White
females, 22 White males, 8 Hispanic females, 6 Hispanic males, and so forth. The
Means command allows you to view certain characteristics of continuous variables
(such as total points, GPAs, percents) by groups. Thus if you computed total (number of points) for ethnic by gender, you would find that there were 13 White females
who scored an average (mean) of 113.12 points, 22 White males who scored a mean
of 115.34 points, 8 Hispanic females who scored a mean of 116.79, 6 Hispanic males
with a mean of 113.45, and so forth. This information is, of course, presented in tabular
format for ease of reading and interpretation. The utility of the Means command for
data such as our sample file is several-fold. For a class with more than one section, we
might like to see mean scores for each section, or to compare the scores of males with
females, or the performance of upper-with lower-division students.</description><subject>Psychological methodology</subject><isbn>9780134320250</isbn><isbn>1138681342</isbn><isbn>9781138681347</isbn><isbn>0134320255</isbn><isbn>9781315545899</isbn><isbn>9781134793334</isbn><isbn>1315545896</isbn><isbn>1134793332</isbn><isbn>1134793405</isbn><isbn>9781134793402</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2016</creationdate><recordtype>book_chapter</recordtype><recordid>eNpVkMtOwzAQRY0QiKp0xYZlfyAw40diL1EFFKkIFmVtuclYDYS42CmIv69L2XQ1msc9unMZu0a4kYLLW1NpFKiUVNqYAtUJmxyNTv96QJGvgSs4ZyOTF5XkCi_YJKV3AMBSSFPBiF0t1zR9Jten6WsMNTXbSJfszLsu0eS_jtnbw_1yNi8WL49Ps7tF0SIYXqjSuaYhVaLRCDp7A61d2UB2gsp4cl6DRgNKeA5VvdK8dL4kTq4S3JAYM3HgbmL42lIaLK1C-KipH6Lr6rXbDBSTlVIpA5U1YPNDWTU_qNreh_jpfkLsGju43y5EH11ft2lPSRbB7gOzR-lYVPY7U9vQc7EDvgBb3g</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>George, Darren</creator><creator>Mallery, Paul</creator><general>Routledge</general><scope>FFUUA</scope></search><sort><creationdate>2016</creationdate><title>The Means Procedure</title><author>George, Darren ; Mallery, Paul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1092-56aadde56198108324088a6d0155159feaf80819053f207cb826af6e2ea7329e3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Psychological methodology</topic><toplevel>online_resources</toplevel><creatorcontrib>George, Darren</creatorcontrib><creatorcontrib>Mallery, Paul</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>George, Darren</au><au>Mallery, Paul</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>The Means Procedure</atitle><btitle>IBM SPSS Statistics 23 Step by Step</btitle><date>2016</date><risdate>2016</risdate><spage>146</spage><epage>152</epage><pages>146-152</pages><isbn>9780134320250</isbn><isbn>1138681342</isbn><isbn>9781138681347</isbn><isbn>0134320255</isbn><eisbn>9781315545899</eisbn><eisbn>9781134793334</eisbn><eisbn>1315545896</eisbn><eisbn>1134793332</eisbn><eisbn>1134793405</eisbn><eisbn>9781134793402</eisbn><abstract>WHILE THE Crosstabs procedure allows you to identify the frequency of certain
types of categorical data (Chapter 8), the Means command allows you to explore certain characteristics of continuous variables within those categories. By way of comparison, a crosstabulation of ethnic by gender would indicate that there were 13 White
females, 22 White males, 8 Hispanic females, 6 Hispanic males, and so forth. The
Means command allows you to view certain characteristics of continuous variables
(such as total points, GPAs, percents) by groups. Thus if you computed total (number of points) for ethnic by gender, you would find that there were 13 White females
who scored an average (mean) of 113.12 points, 22 White males who scored a mean
of 115.34 points, 8 Hispanic females who scored a mean of 116.79, 6 Hispanic males
with a mean of 113.45, and so forth. This information is, of course, presented in tabular
format for ease of reading and interpretation. The utility of the Means command for
data such as our sample file is several-fold. For a class with more than one section, we
might like to see mean scores for each section, or to compare the scores of males with
females, or the performance of upper-with lower-division students.</abstract><cop>United Kingdom</cop><pub>Routledge</pub><doi>10.4324/9781315545899-15</doi><oclcid>945874251</oclcid><tpages>7</tpages></addata></record> |
fulltext | fulltext |
identifier | ISBN: 9780134320250 |
ispartof | IBM SPSS Statistics 23 Step by Step, 2016, p.146-152 |
issn | |
language | eng |
recordid | cdi_proquest_ebookcentralchapters_4455907_90_202 |
source | eBooks on EBSCOhost |
subjects | Psychological methodology |
title | The Means Procedure |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T15%3A37%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_infor&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=The%20Means%20Procedure&rft.btitle=IBM%20SPSS%20Statistics%2023%20Step%20by%20Step&rft.au=George,%20Darren&rft.date=2016&rft.spage=146&rft.epage=152&rft.pages=146-152&rft.isbn=9780134320250&rft.isbn_list=1138681342&rft.isbn_list=9781138681347&rft.isbn_list=0134320255&rft_id=info:doi/10.4324/9781315545899-15&rft_dat=%3Cproquest_infor%3EEBC4455907_90_202%3C/proquest_infor%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781315545899&rft.eisbn_list=9781134793334&rft.eisbn_list=1315545896&rft.eisbn_list=1134793332&rft.eisbn_list=1134793405&rft.eisbn_list=9781134793402&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC4455907_90_202&rft_id=info:pmid/&rfr_iscdi=true |