Question: Life satisfaction has been defined as a global evaluation by the person of their life and is considered as an important construct in understanding adolescents'

Life satisfaction has been defined as a global evaluation by the person of their life and is considered as an important construct in understanding adolescents' psychological health. There has been much research on this construct within the general population. But there is a need to investigate this psychological factor among other special populations such as gifted students. Although there is evidence that gifted students experience more stress, anxiety, and adjustment problems than do nongifted students, some studies showed that gifted students experience lower levels of anxiety than nongifted students. Because of these discrepancies it is unknown whether gifted or nongifted students would report more positive life satisfaction. And, it is unknown how this effect looks for boys and girls.

Prominent Research Question: Do differences in life satisfaction between gifted and nongifted students depend on gender? In other words, is the pattern observed for gifted versus nongifted different for girls and boys?

Prominent Null hypothesis: The difference in life satisfaction between gifted and nongifted students is the same for boys and girls.

Procedure: Participants in this study were from different high schools. One high school was a special school for gifted students and the other was for regular students. The mean age of the sample was 16.01 years (SD= .92, ranged from 14 to 18 years). Participants completed the Multidimensional Students' Life Satisfaction Scale which assesses global life satisfaction. Items on the scale are summed to score between 10 and 50.

Is the pattern observed for gifted versus nongifted different for girls and boys?

Two-way ANOVA (all results)

Main effect for giftedness (gifted vs, nongifted - means/SD)

Main effect for gender (girls vs. boys - means/SD)

Interaction effect? 2 simple main effects tests: Does giftedness affect life satisfaction among giris? - means/SD Does giftedness affect life satisfaction among boys? - means/SD

Use this checklist to make sure all the information is included:

The headingResultsis bolded and centered

Report is written using complete sentences and in paragraph format

All alphabetic notation is italicized (F, p, M, SD)

Space included before and after mathematical signs (e.g.,M = 3.20)

Values for F, p, effect size, M, SD are rounded to 2 decimal places (with exception of whenp < .001)

F-statements contain all appropriate information:F(dfb, dfe) = #,p = #, p2 = #.

There is no space between the F and parenthesis, but there is a space after the comma when reporting df in the F-statement

Proper notation for partial eta-squared is used: p2 or partial 2

The exact value for p is provided (e.g.,p = .25) with exception ofp < .001

Additionally...

Did you identify your ANOVA?

Are the variables being tested clearly identified?

Did you report the results for each main effect?

Did you indicate if the effect was significant or not?

Did you provide the complete F-statement? Did you double-check your values, spacing, and notation?

If there are more than 3 levels for a factor, and the effect was significant (i.e., reject H0), did you mention which post hoc tests you ran - Bonferroni or Tukey's HSD? Did you report the results clearly for all pairwise comparisons from the post hoc tests?

If there are only 2 levels, did you avoid mentioning post hoc tests?

Did you include all the (marginal) means and standard deviations in-text, only one time each? Did you double-check your values, spacing, and notation?

Did you report the results for the interaction effect?

Did you indicate if the effect was significant or not?

Did you provide the complete F-statement? Did you double-check your values, spacing, and notation?

If the effect was significant, did you outline what simple main effects tests you conducted to interpret the results? (e.g., To decompose the interaction effect, we examined the effect of stress on performance separately for younger and older adults)

Did you report the results for each simple main effect test, including if the pairwise comparison was significant or not?

Did you include all the cell means and standard deviations in-text, only one time each? Did you double-check your values, spacing, and notation?

Between-Subjects Factors

Value Label

N

group

1.00

nongifted

40

2.00

gifted

40

gender

1.00

male

40

2.00

female

40

Descriptive Statistics

Dependent Variable: satisfaction

group

gender

Mean

Std. Deviation

N

nongifted

male

32.6000

1.72901

20

female

36.9000

1.68273

20

Total

34.7500

2.75262

40

gifted

male

31.7000

1.45458

20

female

33.7000

1.94936

20

Total

32.7000

1.97679

40

Total

male

32.1500

1.64161

40

female

35.3000

2.42000

40

Total

33.7250

2.59491

80

Tests of Between-Subjects Effects

Dependent Variable: satisfaction

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

Corrected Model

308.950a

3

102.983

35.097

<.001

.581

Intercept

90990.050

1

90990.050

31010.062

<.001

.998

group

84.050

1

84.050

28.645

<.001

.274

gender

198.450

1

198.450

67.633

<.001

.471

group * gender

26.450

1

26.450

9.014

.004

.106

Error

223.000

76

2.934

Total

91522.000

80

Corrected Total

531.950

79

a. R Squared = .581 (Adjusted R Squared = .564)

Estimated Marginal Means

group * gender

Dependent Variable: satisfaction

group

gender

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

nongifted

male

32.600

.383

31.837

33.363

female

36.900

.383

36.137

37.663

gifted

male

31.700

.383

30.937

32.463

female

33.700

.383

32.937

34.463

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