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Project #2 – Psychology 143 Spring 2019 – Yockey Project 2 – Psychology 143 Name ____________________________________________ Project #2 – Psychology 143 Spring 2019 – Yockey Complete each of the...

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Project #2 – Psychology 143
Spring 2019 – Yockey
Project 2 – Psychology 143
Name ____________________________________________
Project #2 – Psychology 143
Spring 2019 – Yockey
Complete each of the following problems, answering each question as completely as possible. You will need to use SPSS to answer a number of the questions. You may use your text and any other class materials as needed. The project is due by 5/7 at 2 pm (you are welcome to turn it in early if you like). You may either 1) email the project to me as an attachment (as a Word or PDF file please) or 2) turn it in at the psychology office (where it will be date and time stamped). SPSS output is not required to be turned in with your project.
    9    
1. The following output is from a multiple regression analysis that was run on the variables FEARDTH (fear of death) IMPORTRE (importance of religion), AVOIDDTH (avoidance of death), LAS (meaning in life), and MATRLSM (materialistic attitudes). In the regression analysis, FEARDTH is the criterion variable (Y) and IMPORTRE, AVOIDDTH, LAS, and MATRLSM are the predictors (Xs). The SPSS output is provided below, followed by a number of questions (12 points total).
    Descriptive Statistics
    
    Mean
    Std. Deviation
    N
    feardth
    27.0798
    8.08365
    163
    importre
    5.8282
    2.46104
    163
    avoiddth
    18.5460
    6.97633
    163
    Las
    70.1288
    9.89460
    163
    matrlsm
    53.5552
     XXXXXXXXXX
    163
Variables Entered/Removed
    Model
    Variables Entered
    Variables Removed
    Method
    1
    matrlsm, avoiddth, importre, lasa
    .
    Ente
    a. All requested variables entered.
    b. Dependent Variable: feardth
XXXXXXXXXXModel Summary
    Model
    R
    R Square
    Adjusted R Square
    Std. E
or of the Estimate
    1
    .669
    .447
    .433
    6.08700
a. Predictors: (Constant), matrlsm, avoiddth, importer, las
    ANOVA
    Model
    Sum of Squares
    df
    Mean Square
    F
    Sig.
    1
    Regression
     XXXXXXXXXX
    4
     XXXXXXXXXX
    31.927
    .000a
    
    Residual
     XXXXXXXXXX
    158
    37.052
    
    
    
    Total
     XXXXXXXXXX
    162
    
    
    
    a. Predictors: (Constant), matrlsm, avoiddth, importre, las
    b. Dependent Variable: feardth
    Coefficientsa
    Model
    Unstandardized Coefficients
    Standardized Coefficients
    T
    Sig.
    
    B
    Std. E
o
    Beta
    
    
    1
    (Constant)
    27.738
    4.979
    
    5.571
    .000
    
    importre
    -.167
    .199
    -.051
    -.838
    .403
    
    avoiddth
    .697
    .070
    .601
    10.004
    .000
    
    Las
    -.213
    .050
    -.261
    -4.247
    .000
    
    matrlsm
    .044
    .049
    .055
    .885
    .378
    a. Dependent Variable: feardth
Answer the following questions for the regression procedure:
a. How many people were in the study? _____________ (1 point)
. What is R2 for the regression analysis? ________________ (2 points)
c. Is R2 significant? Report the appropriate statistical criteria to support your answer (do not just provide the p-value, but the APA formatted information as appropriate) (3 points).
d. Which predictor(s), if any, are significant? Which predictor(s), if any, are not significant? Be sure to (1) indicate whether each predictor is significant or not and (2) report the co
esponding t values and p-values for each of the predictors (whether significant or not) below (4 points).
e. Write the final equation for the regression model. (Consult your text as needed for details on writing the regression equation.) (2 points)
2. A research study was conducted to assess the effectiveness of an 8-week GRE study preparation course (e.g., Kaplan) on GRE test scores. Six subjects were selected to participate in the study, and took the GRE test on three occasions, with the prep course employed for an eight week period starting after the first study session (week 0). The dependent variable is the GRE score, with higher scores indicating better performance on the test (10 points total).
    
    GRE
week 0
    GRE
week 4
    GRE
week 8
    Subject 1
    980
    1070
    1180
    Subject 2
    1030
    1040
    1240
    Subject 3
    1010
    970
    1260
    Subject 4
    930
    1040
    1110
    Subject 5
    1010
    1110
    1140
    Subject 6
    1130
    1050
    1210
a. State the null and alternative hypotheses for the overall test (2 points).
. Interpret the results of the SPSS output below (use α = .05). Describe the results in the context of the study and use APA format as appropriate. If the overall test is significant, be sure to conduct and report the results (in APA format) of any further tests as appropriate (use a total α = .05 for the set of follow-up tests) (8 points).
3. A researcher was interested in examining if a relationship existed between two variables, X and Y. Five people were selected for the study, and their scores on X and Y are shown below (8 points total).
    X
    Y
    12
    14
    9
    11
    13
    17
    11
    19
    14
    13

a. State the null and alternative hypotheses below (2 points).
. Report the results of the hypothesis test below. Be sure to express the results in the context of the study and use APA format as appropriate. Use α = XXXXXXXXXXpoints).
4. An experiment was conducted to examine the performance (as measured by the number of e
ors made) on a motor skills task. Twenty-four subjects (12 young and 12 old) were assigned to either an easy or hard motor skills task. There were two factors in the study: age (young/old) and difficulty of the motor skills task (easy/hard). The number of e
ors made on the motor skills task was recorded for each person and is presented in the table below (15 points).
    
    
    Difficulty
    
    
    Easy
    Hard
    Age
    Young
    3
4
2
6
3
6
    6
5
8
9
9
7
    
    Old
    5
7
6
4
2
4
    10
11
14
15
16
17
a. State the null and alternative hypotheses below (2 points).
.
Report the results of the hypothesis tests in #a below. Be sure to express the results in the context of the study and use APA format as appropriate. Sketch, label, and describe any significant interaction(s). (For your sketch, it is fine to make it look like the plot shown in SPSS.) Use α = .05 for each test (13 points)
CONTINUED ON THE NEXT PAGE
Extra Credit (2 points). Provide an example (that has not been used in class or in your text) of a two-way between subjects ANOVA. For full extra credit, state each IV (including all levels) and the DV in sufficient detail below so that I am able to properly evaluate your example as being appropriate for the two-way ANOVA. It is not necessary to provide values (i.e., data) with your example.
This completes the project. Congratulations on finishing project #2!
Answered Same Day May 06, 2021

Solution

Pooja answered on May 07 2021
149 Votes
Project #2 – Psychology 143
Spring 2019 – Yockey
Project 2 – Psychology 143
Name ____________________________________________
Project #2 – Psychology 143
Spring 2019 – Yockey
Complete each of the following problems, answering each question as completely as possible. You will need to use SPSS to answer a number of the questions. You may use your text and any other class materials as needed. The project is due by 5/7 at 2 pm (you are welcome to turn it in early if you like). You may either 1) email the project to me as an attachment (as a Word or PDF file please) or 2) turn it in at the psychology office (where it will be date and time stamped). SPSS output is not required to be turned in with your project.
    12    
1. The following output is from a multiple regression analysis that was run on the variables FEARDTH (fear of death) IMPORTRE (importance of religion), AVOIDDTH (avoidance of death), LAS (meaning in life), and MATRLSM (materialistic attitudes). In the regression analysis, FEARDTH is the criterion variable (Y) and IMPORTRE, AVOIDDTH, LAS, and MATRLSM are the predictors (Xs). The SPSS output is provided below, followed by a number of questions (12 points total).
    Descriptive Statistics
    
    Mean
    Std. Deviation
    N
    feardth
    27.0798
    8.08365
    163
    importre
    5.8282
    2.46104
    163
    avoiddth
    18.5460
    6.97633
    163
    Las
    70.1288
    9.89460
    163
    matrlsm
    53.5552
    10.21860
    163
Variables Entered/Removed
    Model
    Variables Entered
    Variables Removed
    Method
    1
    matrlsm, avoiddth, importre, lasa
    .
    Ente
    a. All requested variables entered.
    b. Dependent Variable: feardth
Model Summary
    Model
    R
    R Square
    Adjusted R Square
    Std. E
or of the Estimate
    1
    .669
    .447
    .433
    6.08700
a. Predictors: (Constant), matrlsm, avoiddth, importer, las
    ANOVA
    Model
    Sum of Squares
    df
    Mean Square
    F
    Sig.
    1
    Regression
    4731.810
    4
    1182.952
    31.927
    .000a
    
    Residual
    5854.153
    158
    37.052
    
    
    
    Total
    10585.963
    162
    
    
    
    a. Predictors: (Constant), matrlsm, avoiddth, importre, las
    b. Dependent Variable: feardth
    Coefficientsa
    Model
    Unstandardized Coefficients
    Standardized Coefficients
    T
    Sig.
    
    B
    Std. E
o
    Beta
    
    
    1
    (Constant)
    27.738
    4.979
    
    5.571
    .000
    
    importre
    -.167
    .199
    -.051
    -.838
    .403
    
    avoiddth
    .697
    .070
    .601
    10.004
    .000
    
    Las
    -.213
    .050
    -.261
    -4.247
    .000
    
    matrlsm
    .044
    .049
    .055
    .885
    .378
    a. Dependent Variable: feardth
Answer the following questions for the regression procedure:
a. How many people were in the study? _____163________ (1 point)
. What is R2 for the regression analysis? _______44.7%_________ (2 points)
c. Is R2 significant? Report the appropriate statistical criteria to support your answer (do not just provide the p-value, but the APA formatted information as appropriate) (3 points).
Null hypothesis, ho: model is not significant or R2 is not significant. This is tested against an alternative hypothesis, h1: model is significant or R2 is significant. The decision rule is to reject the null hypothesis if p<5%. Here p-value is 0.000. With (F(4, 158)= 31.927, P<5%), the null hypothesis is rejected at 5% level of significance and conclude that mode is significant or R2 is significant.
d. Which predictor(s), if any, are significant? Which predictor(s), if any, are not significant? Be sure to (1) indicate whether each predictor is significant or not and (2) report the co
esponding t values and p-values for each of the predictors (whether significant or not)...
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