10类留学论文Results高分例句

在撰写留学论文时，Results（结果）部分的质量对于整篇论文的评分和影响力至关重要。本文将分享10类高分Results段落例句，以帮助您更好地表达研究结果，提升论文质量。

1. Referring back to the research aims or procedures

The first set of questions aimed to …

To compare the difference between …

Simple statistical analysis was used to …

The next question asked the informants …

Changes in X and Y were compared using …

Regression analysis was used to predict the …

To distinguish between these two possibilities, …

The first set of analyses examined the impact of …

The correlation between X and Y was tested using …

T-tests were used to analyse the relationship between …

The average scores of X and Y were compared in order to …

In order to assess Z, repeated-measures ANOVAs were used.

2. Highlighting significant data in a table or chart

What stands out in the table is …

Closer inspection of the table shows …

It is apparent from this table that very few …

The most interesting aspect of this graph is …

In Fig.10 there is a clear trend of decreasing …

What is striking about the figures in this table is …

What is interesting about the data in this table is that …

The differences between X and Y are highlighted in Table 4.

From the chart, it can be seen that by far the greatest demand is for …

From this data, we can see that Study 2 resulted in the lowest value of …

This table is quite revealing in several ways. First, unlike the other tables …

From the data in Figure 9, it is apparent that the length of time left between …

3. Stating a positive result

The mean score for X was …

Further analysis showed that …

A two-way ANOVA revealed that …

On average, Xs were shown to have …

Strong evidence of X was found when …

This result is significant at the p = 0.05 level.

The results, as shown in Table 1, indicate that …

A positive correlation was found between X and Y.

There was a significant positive correlation between …

The difference between the X and Y groups was significant.

There was a significant difference in X, t(11) = 2.906, p<0.01

There was a significant difference between the two conditions …

4. Stating a negative result

No increase in X was detected.

No difference greater than X was observed.

No significant differences were found between …

None of these differences were statistically significant.

No significant reduction in X was found compared with placebo.

No evidence was found for non-linear associations between X and Y.

X appeared to be unaffected by Y.

Only trace amounts of X were detected in …

There was no evidence that X has an influence on …

The Chi-square test did not show any significant differences between …

Overall, X did not affect males and females differently in these measures.

A clear benefit of X in the prevention of Y could not be identified in this analysis.

5. Reporting positive and negative reactions

X occurred with successive increases in Y.

Increasing the strength of X led to a reduction in …

With successive increases in intensity of the X, the Y moved further to …

Following the addition of X, a significant increase (p<0.05) in the Y was recorded.

Combining X with Y did not produce …

Stimulation of X with Y did not increase the …

Different doses of X showed no measurable effect on …

When X cells were stimulated with Y, no significant difference in Z was detected.

6. Highlighting interesting or surprising results

Of interest here is the increase in …

Interestingly, the X was observed to …

This result is somewhat counterintuitive.

Interestingly, this correlation is related to …

The more surprising correlation is with the …

Surprisingly, only a minority of respondents …

The most surprising aspect of the data is in the …

The correlation between X and Y is interesting because …

The most striking result to emerge from the data is that …

Interestingly, a significant interaction of X and Y was also observed.

It is worth noting that there were also differences in the ratios of …

The single most striking observation to emerge from the data comparison was …

7. Surveys and interviews: Reporting response rates

The overall response to the survey was poor.

There were 53 responses to the question: ‘…?’

Thirty-two individuals returned the questionnaires.

The total number of responses for this question was …

The response rate was 60% at six months and 56% at 12 months.

Of the study population, 90 subjects completed and returned the questionnaire.

Of 150 patients who were sent invitations, 81 returned the reply slip, of whom 60 agreed to …

By the end of the survey period, data had been collected from 64 individuals, 23 of whom were …

8. Surveys and interviews: Reporting proportions

Over half of those surveyed reported that …

A minority of participants (17%) indicated that …

70% of those who were interviewed indicated that ….

Almost two-thirds of the participants (64%) said that ….

The majority of those who responded to this item felt that …

When asked whether …, 90% of the respondents reported that …

Just over half of those who answered this question reported that …

In response to Question 1, most of those surveyed indicated that …

When the participants were asked …, the majority commented that …

Of the 148 patients who completed the questionnaire, just over half indicated that …

9. Surveys and interviews: Reporting themes

Opinions differed as to whether …

Concerns were expressed about …

These views surfaced mainly in relation to …

Concerns regarding X were more widespread.

Five broad themes emerged from the analysis.

A common view amongst interviewees was that …

One concern expressed regarding X was whether …

This theme came up for example in discussions of …

The themes of X and Y recurred throughout the dataset.

Two divergent and often conflicting discourses emerged …

Issues related to X were not particularly prominent in the interview data.

A recurrent theme in the interviews was a sense amongst interviewees that …

10. Surveys and interviews: Introducing excerpts

As one interviewee put it: ‘…’

One informant reported that …

One participant commented: ‘ …’

The comment below illustrates …

For example, one interviewee said: ‘…’

In one case, the participant thought that …

Another interviewee, when asked …, said: ‘…’

Other responses to this question included: ‘…’

Another interviewee alluded to the notion of …

Talking about this issue an interviewee said: ‘…’

Commenting on X, one of the interviewees said …

One individual stated that ‘…’ And another commented ‘…’