• spss教程ppt > SPSS shows the included/excluded cases
  • SPSS shows the included/excluded cases

    免费下载 下载该文档 文档格式:PPT   更新时间:2002-07-02   下载次数:0   点击次数:4
    文档基本属性
    文档语言:
    文档格式:ppt
    文档作者:
    关键词:
    主题:
    备注:
    点击这里显示更多文档属性
    Social Work Statistics
    Correlated Groups T-test
    Also commonly referred to as
    the Paired Samples T-test
    New dataset
    These problems require a different type of data than what is available in GSS2000. We need data where the same measure is administered multiple times.
    The data set that we will used is called Omaha.sav, and can be downloaded from the course web site.
    This data set contains a variety of attitude and functioning scales for a group of domestic violence victims from Omaha, taken one week, six months, and twelve months after the incident.
    Links to the description of the project and download of the code book at ICPSR are on the course data download page.
    Coding scheme
    To make the data amenable to the types of problems we will use it for, variables have been renamed and recoded.
    There are four types of measures:
    Variables on self esteem begin with the letters "se"
    Variables on depression begin with the letters "dep"
    Variables on locus of control being with "loc"
    Variables on fears begin with the letters "fear"
    The time period for the measure is designated by the number following the initial letters:
    1 indicates 1 week after the incident, e.g. fear1, loc1
    6 indicates 6 months after the incident, e.g. fear6, loc6
    12 indicates 12 months after the incident, e.g. fear12, loc6
    The specific content item is represented by an underscore followed by a number:
    fear1_1 is the item "I have spells of terror/panic (1 week)"
    fear6_4 is the item "At times I fear for my life (6 months)"
    Analyzing data
    We will analyze relationships among various measures at different time periods, e.g. fear1_1 versus fear6_1, fear1_1 versus fear12_1, and fear6_1 versus fear12_1.
    All of these items are rating scales, e.g. strongly disagree, disagree, agree, strongly agree. All have been recoded so that the most positive rating has the highest code number.

    下一页

  • 下载地址 (推荐使用迅雷下载地址,速度快,支持断点续传)
  • 免费下载 PPT格式下载
  • 您可能感兴趣的
  • spss半数ppt  spssprobitppt  spss19.0ppt  spss教程  spss19.0教程  spss教程电子书  spss教程免费中文下载  spss教程下载  spss17.0中文版教程