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Data Analysis Descriptively and Inferentially with SPSS, TBI 5B Group 8th…

- - - - Types of
        Descriptive Analysis
        
        Frequency
        
        Determine the class range
        
        Determine the number of classes
        
        Setting the class interval
        
        Determine the class midpoint
        
        Central tendency
        
        Median (Md)
        
        Mean (Me)
        
        Mode (Mo)
        
        Dispersion
        
        Range
        
        Standar deviation
        (SD)
        
        Variation
        
        Index of qualitative variation
      - Descriptive Analysis
        Steps
        
        Data reduction
        
        Data display
        
        Drawing conclusion
      - Definition
        
        a branch of statistics
        (organizing, displaying, and explaining data).
      - The main purpose
        
        to describe data.
        
        The basic principles apply
        in presenting data
      - Analyzing Data Descriptively
        use SPSS
        
        Analyze the score of students' reading strategy and then input them in the SPSS 16,0
        
        Input the score of students reading achievement into SPSS 16.0.
        
        Decide the Mean value from variable 1 (questioning strategy)
        
        Decide the Mean value from variable 2 (students' achievement in reading)
        
        Decide the maximum and minimum score of reading strategy and reading achievement.
        
        Decide the mode, median and the sum of reading strategy and reading achievement.
        
        Decide the interval, frequency, and percentage of students' reading comprehension strategy.
        
        Decide the interval, frequency, and percentage of students' reading achievement.
        
        Examine the normality test of reading comprehension strategy
        
        Examine the homogeneity of both variables: reading comprehension strategy and reading achievement.
        
        Examine linear regression to test the hypothesis at SPSS 16.0
    - - Types of
        Inferential Analysis
        
        Correlation
        analysis
        
        Independent variable X
        
        Dependent variable Y
        
        Comparative
        analysis
        
        "A small number of cases in order to grasp the peculiarities of each case"
        
        "To establish that every instance of a phenomenon follows essentially the same rule,"
      - Inferential Analysis
        Steps
        
        Determine the hyphotesis
        
        Determine the degree of confidence 10% (α=0.01)
        
        Determining significance
        
        Making conclusions
      - Definition
        
        Consist of generalizing and making predictions.
      - Analyzing Data Inferential
        use SPSS
        
        According to (Trianto, 2020)
        
        Click the options button, so that the One Sample T Test menu box appears: Options
        
        For Grouping variable filled with variable teaching writing ability. This section needs to be defined again by clicking the Define Groups button, so that the Define Groups menu box appears:
        
        The Data field is filled in with the variable to be tested, namely the dictation method.
        
        Open the Analyze menu > Compare means > Independent sample T test ... until the menu box of the Independent Sample T Test appears.
    - - describe and explain the research data
        that can be understood
  - - - Nominal data
        (Doesn't have any ordering)
        
        according to (Wulandari, 2011) this research apply descriptive quantitative technique, the researcher analayzed data using the nominal data because this research classified the errors of each problem era based on the tenses.
      - Ordinal data
        (Elements are ordered)
        
        according to (Indrawati, 2019) this research apply descriptive quantitative technique, the researcher analyzed the ordinal data to find out about the percentage of the students' speaking problem at MTs Negeri Gowa.
    - - Interval data
        (Lacks of absolute zero point)
        
        according to (Fatimah, 2019) this research apply descriptive quantitative technique, the researcher analayzed data using the interval data because this research classify the score of the students’ vocabulary.
      - Ratio data
        (Has a defined zero point)
        
        For example, according to (Nugroho, 2021) The researcher analyzed the data using data ratio because this research classifies it as having an absolute zero value. The absolute zero value is a basic value that cannot be changed even if using another scale.