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Set Up Module

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Title: Set Up Module


1
Set Up Module
  • Section 1

2
Interactive Introduction to SPSS Statistical
Software
  • Elizabeth Bigham, Ph.D.
  • California State University San Marcos May 2007 -
    Funded by SSRIC
  • If you have not done so, save this file as a
    slide show (.pps) and view as a slide show.
  • Use the double-down arrows in the bottom right
    hand corner of this window to Advance to next
    slide.

3
Set-Up Instructions - 1
  • Follow the set-up instructions (first 6 slides)
    before you begin the module.
  • This module requires the use of SPSS and DeskPins
    software. DeskPins keeps the instructional window
    on top so you can see it while you complete the
    SPSS exercises.

4
Set-Up Instructions - 2
  • If you have DeskPins on your computer (you would
    see a red push-pin in the bottom left blue area
    of your screen), advance to Set-Up Instructions
    6.
  • If you do not have DeskPins already, print out
    the instructions on the next 4 slides (slides 3,
    4, 5, 6) and follow the directions to download
    this free program.

5
Set-Up Instructions - 3
  • Open an internet window.
  • Go to http//users.forthnet.gr/pat/efotinis/progra
    ms/deskpins.html
  • Scroll down and Select DeskPins v1.30
  • Select Save gt Save gt Open

6
Set-Up Instructions - 4 Your screen should look
like this.
7
Set-Up Instructions - 5
  • Double left click on DeskPins 1.30 setup
  • Select Extract all gt Next gt Next gt Next gt Finish
  • Select DeskPins 1.30 setup installer gt Run gt
    Next gt Install
  • When Completed appears in the upper left corner
    of the window, select Close
  • Close the DeskPins window
  • Restart you computer to activate the DeskPins
    program and then return here and continue with
    Set-Up Instructions 6.

8
Set-Up Instructions - 6
  • DeskPins should now be installed (you should see
    a red push-pin at the bottom right corner of your
    screen).
  • Left click on the red push-pin (pick up a pin)
  • Left click on this screen (you should see a red
    push-pin appear in the blue area above)
  • Shrink this window to approximately 20 of the
    size of your screen and move it to the bottom
    right hand corner of your screen.
  • This will allow you to carry out the exercises in
    SPSS while viewing the instructions.
  • Now you are set-up and ready to begin the module!

9
Introduction to SPSS
  • Section 2

10
Interactive Introduction to SPSS Statistical
Software
  • Welcome,
  • This module was designed to introduce you to
    SPSS statistical software. It is an interactive
    presentation for students who have successfully
    completed a lower division statistics course and
    are ready to begin conducting computerized
    statistical analysis.

11
Learning Objectives
  • You will learn to
  • set-up a data entry page
  • work with variables, such as add, move, and
    recode them
  • perform descriptive analysis
  • conduct simple correlations

12
Directions
  • Remember to use the double-down arrows to
    Advance to next slide (or go back and review
    slides) at your own pace.
  • Words in italics refer to a location.
  • Words in quotes are words you type.
  • Bold indicates a selection (to click on).
  • The symbol gt indicates that you move to the next
    step.

13
Getting Started
  • Data collection methods vary and the capabilities
    of SPSS are tremendous.
  • For this introductory module, we will use a
    simple survey (on the next slide) as part of a
    hypothetical study.
  • Take a look at the Sample Survey and note the
    information that is collected with each item.

14
Sample Survey
  • Participant __
  • Gender M F Age __ Year__
  • Current GPA ___ High School GPA ___
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? __

15
Open SPSS
  • Open SPSS Start gt All Programs gt SPSS for
    Windows gt SPSS 14.0 for Windows
  • Your Version number may be different.
  • A medium size window will open.
  • Select Type in Data gt OK

16
  • This first screen (Data View) is where you enter
    data - one participant per row, one variable per
    column.
  • If it is not full screen with this window on top
    (example on next slide), hit the full screen
    button at the top right hand corner of your
    screen.

17
Your screen should look like this.
18
  • For the rest of the module, the small
    instructional window will not be in the pictures
    that show what your screen should currently look
    like.
  • See the next slide for an example.

19
Your screen should look like this.
20
Set-up a Data Entry Page
  • Section 3

21
Set Up Columns
  • Switch to Variable View. At the bottom left of
    your screen there are two tabs (Data View and
    Variable View). Select Variable View. (This
    screen is where you enter information about your
    variables - one variable per row.)

22
Your screen should look like this.
23
  • The first column is Name. This is where you enter
    the name of your first variable (do not use
    spaces). Type Case and move down one line.
  • You will notice that across the first row the
    cells fill with information when you move down a
    line. These are the default settings. We will
    start by changing only a couple in this exercise.
  • On the second line under Name. Type Gender
  • Move down one line and type Age

24
Your screen should look like this.
25
  • Continue -
  • Move down one line and type GPA
  • Move down one line and type HSGPA
  • Move down one line and type Confidence (This
    will be the name for the question about
    confidence.)
  • Move down one line and type CompExp (This will
    be the name for the question about how much
    computer experience they have.)

26
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27
Coding
  • In response to the survey item Gender, your
    participant will circle M or F. SPSS will need a
    number that indicates Male and a number that
    indicates Female.
  • Go to Line 2 (Gender) and move over to the Values
    column, click on the cell and then on the 3 dots
    shaded in grey. A Value Labels window will
    appear. Enter 1 in the Value box and Male in
    the Label box. Select Add. Then type 2 and
    Female. Select Add gt OK.

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29
  • You can write in information that explains the
    variable in the Label column.
  • Go to line 6 (Confidence) and move over to the
    Label column and type On a scale of 1 to 10
    with 10 being the most, how confident are you
    that you will learn statistics?
  • Move down to the Label column of line 7 (CompExp)
    and type How many years of computer experience
    have you had?

30
  • Adjust the column width by putting your cursor
    over the gray area on the dividing line between
    Label and Values. Hold the left click button (to
    grab the line) and move your mouse to the left.

31
  • The Measure column is where you indicate the
    Level of Measurement of the variable. Choices are
    Nominal, Ordinal, or Scale (Interval or Ratio).
  • Go to line 1 (Case) and click on the Measure
    column. Click on the down arrow and select
    Nominal.
  • Go to line 2 (Gender) and click on the Measure
    column. Click on the down arrow and select
    Nominal.
  • Leave the remaining lines at the default value
    (Scale).

32
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33
Enter Data
  • Section 4

34
Enter Data
  • Switch to Data View. At the bottom left of your
    screen select Data View.
  • In the upper left portion of your screen, select
    View and, if Value Labels is not checked, select
    Value Labels

35
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36
  • Type 1 in the first line of the Case column.
  • Move over to the Gender column and click on the
    down arrow in the cell. Select Male
  • Move over to Age and type 23
  • Move over to GPA and type 3.2
  • Move over to HSGPA and type 3.11
  • Move over to Confidence and type 6
  • Move over to CompExp and type 5

37
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38
You have just finished entering the data from
this survey (Participant 1).
  • Participant _1_
  • Gender M F Age _23_ Year F
  • Current GPA _3.2_ High School GPA _3.11_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _5_

39
Now enter the data from the next 9 surveys.
  • Participant _2_
  • Gender M F Age _25_ Year So
  • Current GPA _3.0_ High School GPA _2.9_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _2_

40
  • Participant _3_
  • Gender M F Age _31_ Year Sn
  • Current GPA _2.7_ High School GPA _2.5_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _15_

41
  • Participant _4_
  • Gender M F Age _27_ Year J
  • Current GPA _3.9_ High School GPA _3.6_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _4_

42
  • Participant _5_
  • Gender M F Age _27_ Year So
  • Current GPA _3.11_ High School GPA _3.2_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _8_

43
  • Participant _6_
  • Gender M F Age _22_ Year F
  • Current GPA _3.0_ High School GPA _3.4_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _2_

44
  • Participant _7_
  • Gender M F Age _21_ Year Sn
  • Current GPA _3.5_ High School GPA _3.8_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _9_

45
  • Participant _8_
  • Gender M F Age _28_ Year J
  • Current GPA _2.22_ High School GPA _2.7_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _5_

46
  • Participant _9_
  • Gender M F Age _21_ Year Sn
  • Current GPA _2.9_ High School GPA _3.1_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _1_

47
  • Participant 10_
  • Gender M F Age _27_ Year Sn
  • Current GPA _3.3_ High School GPA _3.1_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _7_

48
Save your file
  • Whenever you work with data, you should be sure
    to save your file often.
  • Go to File gt Save As gt (choose a location)
  • Type your last name in the File Name box.
  • Select Save

49
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50
Work with Variables
  • Section 5

51
Add a variable
  • Click on the top grey portion of the GPA column
    to highlight the column. At the top left of your
    screen, select Edit gt Insert variable.

52
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53
  • At the bottom left of your screen, select
    Variable View. Double click on VAR00001 (it will
    turn blue) and type Year to give the new
    variable (Year Level) a name.
  • Move over to the Values column, click on the cell
    and then on the 3 dots shaded in grey. Type 1
    in the Value box and Freshman in the Label box.
    Select Add. Type 2 and Sophomore. Select
    Add. Type 3 and Junior. Select Add. Type 4
    and Senior. Select Add gt OK.

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55
  • At the bottom left of your screen, select Data
    View.
  • Click in the Year column of line 1, select the
    down arrow then select Freshman.

56
You have just finished entering the Year Level
for your first participant.
  • Participant _1_
  • Gender M F Age _23_ Year Fr
  • Current GPA _3.2_ High School GPA _3.11_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _5_

57
Now enter the Year Level for the other 9
participants (these are the same surveys).
  • Participant _2_
  • Gender M F Age _25_ Year So
  • Current GPA _3.0_ High School GPA _2.9_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _2_

58
  • Participant _3_
  • Gender M F Age _31_ Year Sn
  • Current GPA _2.7_ High School GPA _2.5_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _15_

59
  • Participant _4_
  • Gender M F Age _27_ Year Ju
  • Current GPA _3.9_ High School GPA _3.6_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _4_

60
  • Participant _5_
  • Gender M F Age _27_ Year So
  • Current GPA _3.11_ High School GPA _3.2_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _8_

61
  • Participant _6_
  • Gender M F Age _22_ Year Fr
  • Current GPA _3.0_ High School GPA _3.4_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _2_

62
  • Participant _7_
  • Gender M F Age _21_ Year Sn
  • Current GPA _3.5_ High School GPA _3.8_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _9_

63
  • Participant _8_
  • Gender M F Age _28_ Year Ju
  • Current GPA _2.22_ High School GPA _2.7_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _5_

64
  • Participant _9_
  • Gender M F Age _21_ Year Sn
  • Current GPA _2.9_ High School GPA _3.1_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _1_

65
  • Participant 10_
  • Gender M F Age _27_ Year Sn
  • Current GPA _3.3_ High School GPA _3.1_
  • On a scale of 1 to 10, how confident are you that
    you will learn statistics?
  • 1 2 3 4 5 6 7 8
    9 10
  • Not at All Very
  • How many years of computer experience have you
    had? _7_

66
Your Data View file should look like this -
67
Move a variable
  • Click on the top grey portion of the Year column
    to highlight the column.
  • Press and hold a Left click then use your mouse
    to move the cursor to in between the Gender and
    Age columns.
  • Drop (stop pressing the Left click) the Year
    column.

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69
Recode Variables
  • The Confidence variable indicates students'
    responses to the question On a scale of 1 to 10,
    how confident are you that you will learn
    statistics? Their responses are currently Scale
    data (1 10). To make a comparison of the
    participants who answered with a low, medium, or
    high response, you can create groups (Nominal
    data).

70
  • Select Transform gt Recode gt Into Different
    Variables.
  • Highlight the Confidence question on the list and
    click on the arrow to move Confidence into the
    Input Variable box.
  • Type ConfLoHi in Output Variable Name. Click
    on the Change button.

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72
  • Select Old and New Values. Under Old Value,
    select Range.
  • Type 1 in the top box and 3 in the box under
    through.
  • Type 1 in the Value box under New Value.
    Click Add.
  • Type 3 in the top Range box under Old Value
    and 6 in the lower box.
  • Type 2 in the Value box under New Value.
    Click Add.
  • Type 7 in the top Range box under Old Value
    and 10 in the lower box.
  • Type 3 in the Value box under New Value.
    Click Add.

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74
  • Click on Continue gt OK
  • The new variable will appear at the right hand
    side of your current variables.

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76
  • At the bottom left of your screen, select
    Variable View
  • Go to line 9 (ConfLoHi) and move over to the
    Values column. Click on the cell and then on the
    3 dots shaded in grey. Type 1 in the Value box
    and Low in the Label box. Select Add. Type 2
    and Medium. Select Add. Type 3 and High.
    Select Add

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78
  • Select OK

79
Perform Descriptive Statistics
  • Section 6

80
Descriptive Statistics
  • Descriptive statistics describe the status of
    variables. How you describe the status of
    variables depends on the level of measurement of
    the variable. Recall that SPSS uses Nominal,
    Ordinal, and Scale (Interval or Ratio).
  • Nominal and Ordinal variables, such as Gender,
    could be reported as Frequency ( or number of
    Males and Females).
  • Scale variables, such as Age, could be reported
    by stating the Minimum, Maximum, Mean, and
    Standard Deviation (Ages ranged from 18 to 64
    years old with an average age of 27 (SD9.81)).

81
Calculate Frequency
  • Select Analyze gt Descriptive Statistics gt
    Frequencies
  • Highlight Gender on the list and click on the
    arrow to move Gender to the Variable(s) box.
  • Highlight ConfLoHi on the list and click on the
    arrow to move ConfLoHi to the Variable(s) box
  • Be sure that Display Frequency Tables is checked
  • Select Charts
  • On the Frequencies Charts box, select Bar
    charts and Percentages gt Continue gt OK.

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83
  • Notice that a 2nd file is now open.
  • Each time you perform an analysis, the output
    will be added to the output file.
  • When you save, you will need to save both your
    data file (.sav) and your output file (.spo).
  • Go to File gt Save As gt (choose a location)
  • Type your last name in the File Name box.
  • Select Save

84
Review the Output
  • Frequencies the number of valid and missing data
    entries for Gender and ConfLoHi
  • Frequency Table the number of data entries for
    each level of Gender (how many Males and Females)
    and ConfLoHi (how many Low, Medium, and High)
    followed by Bar Charts

85
Calculate Minimum, Maximum, Mean, Standard
Deviation
  • Select Analyze gt Descriptive Statistics gt
    Frequencies to open Frequencies.
  • Select Reset
  • Highlight Age, GPA, HPGPA, and the 2 questions
    (Confidence and CompExp) on the list and click on
    the arrow to move them to the Variable(s) box.
  • Be sure that Display Frequency Tables is checked
  • Select Statistics. Check Mean, Standard
    Deviation, Minimum and Maximum
  • Select Continue gt OK

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Review the Output
  • Frequencies the number of valid and missing data
    entries for these variables now includes Mean,
    Standard Deviation, Minimum, Maximum.
  • Frequency Tables the number of data entries for
    each level of these variables (one table for each
    variable). If there are many levels of a
    variable, the Frequency Table provides
    information that is very detailed. Instead, the
    variables Mean, Standard Deviation, Minimum, and
    Maximum are typically reported.

88
Calculate for Multiple Variables
  • Determine the frequency of a combination of
    variables, such as how many of each Gender are at
    each level of ConfLoHi
  • Select Analyze gt Descriptive Statistics gt
    Crosstabs
  • Highlight Gender and click on the upper arrow to
    move Gender to the Row(s) box.
  • Highlight ConfLoHi and click on the lower arrow
    to move ConfLoHi to the Column(s) box.
  • Check Display clustered bar charts
  • Select Cells. Check Percentages for Row, Column,
    and Total
  • Select Continue gt OK.

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90
Review the Output
  • Case Processing Summary the number of valid,
    missing, and total data entries for Gender and
    ConfLoHi (participants that answered both
    questions)
  • Crosstabulation the number (and percentages) of
    data entries for each level of both variables
    (rows are levels of one variable and intersect
    with columns which are levels of the other
    variable).
  • Works best with nominal or ordinal variables

91
Conduct Simple Correlations
  • Section 7

92
Correlation
  • A Pearson correlation analyzes relationships
    between parametric, linear (interval or ratio
    which are Scale in SPSS) variables. If ordinal,
    use Spearman Rho even if not from a normal
    distribution.
  • You can enter several variables and get a matrix
    of the direction and strength (-1 to 1) of
    relationships.

93
  • To examine the relationship between GPA and
    Confidence, start by restating the hypothesis.
  • Hypothesis
  • It is hypothesized that there will be a
    significant positive relationship between GPA and
    Level of Confidence .
  • This is directional so it is one-tailed.
  • Variables and Level of Measurement
  • Variable1 GPA (Scale)
  • Variable 2 Level of Confidence (Scale)

94
  • Select Analyze gt Correlate gt Bivariate
  • Highlight GPA and the Confidence question on the
    list and click on the arrow to move them to the
    Variables box.
  • Check Pearson, One-tailed, and Flag significant
    correlations.
  • Select Options. Check Means and standard
    deviations. Select Continue gt OK

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Review Output
  • Descriptive Statistics Here are the Means,
    Standard Deviations, and N for GPA and Level of
    Confidence.
  • Correlations The variables are listed across the
    top and down the side so that they intersect
    within the grid. Each intersection box has the
    value of the correlation, then the significance
    level, then the N.

97
  • Find the numbers in the statement below on the
    output at the intersection of GPA and Level of
    Confidence (the question about confidence)
  • There was a positive correlation r(10) .883, p
    lt .01 between GPA and Level of Confidence.

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99
Scatter plot
  • A scatter plot is a common method of displaying
    the results of a bivariate correlation. You can
    add a third variable by entering it at set
    markers by.
  • One variable is represented on each axis and the
    dots represent the intersection of participants
    scores on the two variables.

100
  • Select Graphs gt Scatter/Dot gt Simple Scatter gt
    Define
  • Highlight GPA. Click the arrow to move it to the
    Y Axis box.
  • Highlight Level of Confidence question. Click the
    arrow to move it to the X Axis box.

101
  • Select Titles.
  • In the Footnote Line 1 box, type Figure 1. There
    was a significant positive relationship between
    GPA and Level of Confidence.
  • Select Continue gt OK

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103
  • SPSS Graphs are easily edited and copy/pasted
    into your document. You can change the Axis
    labels, colors, sizes, etc. in the Chart Editor.
  • Place your curser over the chart and double-left
    click. Now double click on the X Axis label (On a
    scale of 1 to 10 with 10 being the most, how
    confident are you that you will learn
    statistics?). A the blue box appears around the
    text. (Close the Properties box that pops up.)
  • You can now change the label by deleting the old
    label and typing Level of Confidence

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  • Click outside the box onto the SPSS Viewer to
    close the Chart Editor and the change will be
    made to your graph.
  • If you wanted to use your graph in a document,
    you would just right click then Copy / Paste it
    into your document.

106
  • Good Job!
  • You have almost completed the module.
  • Just 2 more steps.

107
Post Test
  • Section 8

108
  • Step 1 -
  • Print the output file (SPSS Viewer)
  • Select File gt Print gt OK

109
  • Step 2 -
  • Get out a blank sheet of paper and answer the
    questions on the next page.
  • If you find that they are difficult for you to
    answer, you should go back through the module,
    review your statistics text, or consult with your
    professor.

110
Post - Test
  • What percentage of the participants were females?
  • What was the average number of years of computer
    experience?
  • How many males were in the High Confidence group
    and how many females in that group?
  • Was the relationship between GPA and Confidence
    significant (lt.05)?
  • Did your graph display the difference between
    variables or the relationship between variables?

111
Congratulations
  • You have now
  • set-up a data entry page
  • added, moved, and recoded variables
  • performed descriptive analysis on nominal and
    scale variables
  • conducted a Pearson correlation and created a
    scatter plot for the results

112
Thank You
  • Your comments are appreciated and may be directed
    to
  • Elizabeth Bigham, Ph.D.
  • California State University San Marcos
  • 333 S. Twin Oaks Valley Rd.
  • San Marcos, CA 92096
  • ebigham_at_csusm.edu
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